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Electrical Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

On the Performance Enhancement of Beamspace MIMO and Non-orthogonal Multiple Access for Future Cellular Networks , Sinasi Cetinkaya

Enhancing Smart Grid Security and Reliability through Graph Signal Processing and Energy Data Analytics , Md Abul Hasnat

Fabric-Based Organic Electrochemical Transistor Towards Wearable pH Sensing Electronics , Nestor Osvaldo Marquez Rios

Novel Systems Engineering Framework Analysis of Photovoltaic Models and Equations , Peter R. Michael

Deep Learning Enhancement and Privacy-Preserving Deep Learning: A Data-Centric Approach , Hung S. Nguyen

Cyber-Physical Multi-Robot Systems in a Smart Factory: A Networked AI Agents Approach , Zixiang Nie

Multiple Access Techniques Enabling Diverse Wireless Services , Mehmet Mert Şahin

Deep Reinforcement Learning Based Optimization Techniques for Energy and Socioeconomic Systems , Salman Sadiq Shuvo

Process Automation and Robotics Engineering for Industrial Processing Systems , Drake Stimpson

Theses/Dissertations from 2022 2022

Stability and Interaction Analysis of Inverter-Based Resources in Power Grids , Li Bao

Healthcare IoT System and Network Design , Halil Ibrahim Deniz

Video Anomaly Detection: Practical Challenges for Learning Algorithms , Keval Doshi

Data-Driven State Estimation for Improved Wide Area Situational Awareness in Smart Grids , Md Jakir Hossain

Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost Practical Performance , Ria Kanjilal

Assistive Technologies for Independent Navigation for People with Blindness , Howard Kaplan

Diagnosis of Neurodegenerative Diseases Using Higher Order Statistical Analysis of Electroencephalography Signals , Seyed Alireza Khoshnevis

Accelerating Multiparametric MRI for Adaptive Radiotherapy , Shraddha Pandey

A Model-Based Fault Diagnosis in Dynamic Systems via Asynchronous Motors System Identification or Testing, and Control Engineering Observers , Kenelt Pierre

Improving Wireless Networking from the Learning and Security Perspectives , Zhe Qu

Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising , Hadi Zanddizari

Theses/Dissertations from 2021 2021

A Method for Compact Representation of Heterogenous and Multivariate Time Series for Robust Classification and Visualization , Alla Abdella

Dynamical System and Parameter Identification for Power Systems , Abdullah Abdulrahman Alassaf

Phasor Domain Modeling of Type-III Wind Turbines , Mohammed Alqahtani

An Automated Framework for Connected Speech Evaluation of Neurodegenerative Disease: A Case Study in Parkinson's Disease , Sai Bharadwaj Appakaya

Investigation of CoO ATO for Solar Cells and Infrared Sheaths , Manopriya Devisetty Subramanyam

Thermal Management of Lithium-ion Batteries Using Supercapacitors , Sanskruta Dhotre

Effect of Se Composition in CdSe 1-X T eX /CdTe Solar Cells , Sheikh Tawsif Elahi

Microencapsulation of Thermochromic Materials for Thermal Storage and Energy Efficiency of Buildings , Abdullatif Hakami

Piezoelectrically-Transduced ZnO-on-Diamond Resonators with Enhanced Signal-to-Noise Ratio and Power-handling Capability for Sensing and Wireless Communication Applications , Xu Han

Preparation and Characterization of Single Layer Conducting Polymer Electrochromic and Touchchromic Devices , Sharan Kumar Indrakar

Security Attacks and Defenses in Cyber Systems: From an AI Perspective , Zhengping Luo

Power System Optimization Methods: Convex Relaxation and Benders Decomposition , Minyue Ma

Metal Oxide Sensor Array Test Bed Prototype for Diagnostic Breath Analysis , Tiffany C. Miller

Packaging of Active RF Beamforming IC Utilizing Additive Manufacturing , Ryan Murphy

Adaptive Network Slicing in Fog RAN for IoT with Heterogeneous Latency and Computing Requirements: A Deep Reinforcement Learning Approach , Almuthanna Nassar

Development of a Bipolar Radiofrequency Ablation Device for Renal Denervation , Noel Perez

Copper Electrodeposition Assisted by Hydrogen Evolution for Wearable Electronics: Interconnections and Fiber Metallization , Sabrina M. Rosa Ortiz

Theory and Application of Dielectric Rod Antennas and Arrays , Gabriel Saffold

Advanced Organic Polymers for the Nanoscale Fabrication of Fiber-based Electronics Using the Electrospinning Technique , William Serrano Garcia

Transparent Planar Micro-Electrode Array for In-Vitro Electric Field Mediated Gene Delivery , Raj Himatlal Shah

High Speed Switching for Plasma Based Electroporation , Shivangi Sharma

Development of Small-Scale Power Supplies for Wearable Medical Diagnostic Devices , Donny Stiner

Novel Approach to Integrate CAN Based Vehicle Sensors with GPS Using Adaptive Filters to Improve Localization Precision in Connected Vehicles from a Systems Engineering Perspective , Abhijit Vasili

Modeling, Control and Analysis of Inverter-Based Generators in the Power Grids , Yangkun Xu

Fiber-Based Supercapacitor for Wearable Electronics , Rohit Lallansingh Yadav

Modeling, Identification, and Stability Analysis of Inverter-Based Resources Integrated Systems , Miao Zhang

Data-Oriented Approaches towards Mobile, Network and Secure Systems , Shangqing Zhao

Strategies in Botnet Detection and Privacy Preserving Machine Learning , Di Zhuang

Theses/Dissertations from 2020 2020

Architecture design and optimization of Edge-enabled Smart Grids , Adetola B. Adeniran

Multimodal Data Fusion and Attack Detection in Recommender Systems , Mehmet Aktukmak

Artificial Intelligence Towards the Wireless Channel Modeling Communications in 5G , Saud Mobark Aldossari

Enhancement of 5G Network Performance Using Non-Orthogonal Multiple Access (NOMA) , Faeik Tayseer Al Rabee

Investigation of Machine Learning Algorithms for Intrusion Detection System in Cybersecurity , Mohmmed Alrowaily

Comprehensive Optimization Models for Voltage Regulation in PV-rich Multi-phase Distribution Systems , Ibrahim Alsaleh

Design and Implementation of Solid/Solid Phononic Crystal Structures in Lateral Extensional Thin-film Piezoelectric on Silicon Micromechanical Resonators , Abdulrahman Alsolami

Analysis of Computational Modeling Methods as Applied to Single-Crystal Organohalide Perovskites , Jon M. Bebeau

Development of a Monolithic Implantable Neural Interface from Cubic Silicon Carbide and Evaluation of Its MRI Compatibility , Mohammad Beygi

Performance Enhancement Techniques for Next-Generation Multi-Service Communication and Medical Cyber-Physical Systems , Ali Fatih Demir

Microfluidically Reconfigurable Millimeter-Wave Switches, Antenna Arrays and Filters with Fast-Actuation Using Movable Metallized Plates and Integrated Actuation , Enrique J. Gonzalez Carvajal

Multilayered Transmission Lines, Antennas and Phased Arrays with Structurally Integrated Control Electronics Using Additive Manufacturing , Merve Kacar

Cost Efficient Algorithms and Methods for Spectral Efficiency in Future Radio Access , Murat Karabacak

Design of DeLRo Autonomous Delivery Robot and AI Based Localization , Tolga Karakurt

Theory, Fabrication, and Characterization of Perovskite Phototransistor , Fatemeh Khorramshahi

Modeling and Control of Renewable Energy in Grids and Microgrids , Yin Li

Next-Generation Self-Organizing Communications Networks: Synergistic Application of Machine Learning and User-Centric Technologies , Chetana V. Murudkar

Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach , Upama Nakarmi

Algorithms Enabling Communications in the Presence of Adjacent Channel Interference , Berker Peköz

Electrospun Nanofibrous Membrane Based Glucose Sensor with Integration of Potentiostat Circuit , Kavyashree Puttananjegowda

Service Provisioning and Security Design in Software Defined Networks , Mohamed Rahouti

Reading and Programming Spintronic Devices for Biomimetic Applications and Fault-tolerant Memory Design , Kawsher Ahmed Roxy

Implementation of SR Flip-Flop Based PUF on FPGA for Hardware Security , Sai Praneeth Sagi

Trauma Detection Personal Locator Beacon System , Sakshi Sharma

Network Function Virtualization In Fog Networks , Nazli Siasi

Socially Aware Network User Mobility Analysis and Novel Approaches on Aerial Mobile Wireless Network Deployment , Ismail Uluturk

Spatial Stereo Sound Source Localization Optimization and CNN Based Source Feature Recognition , Cong Xu

Hybrid RF Acoustic Resonators and Arrays with Integrated Capacitive and Piezoelectric Transducers , Adnan Zaman

Theses/Dissertations from 2019 2019

Fabrication and Characterization of Electrical Energy Storage and Harvesting Energy Devices Using Gel Electrolytes , Belqasem Aljafari

Phasor Measurement Unit Data-Based Steady State and Dynamic Model Estimation , Anas Almunif

Cross Layer-based Intrusion Detection System Using Machine Learning for MANETs , Amar Amouri

Power Conditioning System on a Micro-Grid System , Tamoghna Banerjee

Thermal Response in a Field Oriented Controlled Three-phase Induction Motor , Niyem Mawenbe Bawana

Design and Development of a Wireless EEG System Integrated into a Football Helmet , Akshay V. Dunakhe

Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks , Mohamed Elkourdi

Improving Stability by Enhancing Critical Fault Clearing Time , Ammara M. Ghani

RF Power Circuit Designs for Wi-Fi Applications , Krishna Manasa Gollapudi

Enhancing Secrecy and Capacity of Wireless Systems Using Directive Communications , Mohammed A. Hafez

Statistical Anomaly Detection and Mitigation of Cyber Attacks for Intelligent Transportation Systems , Ammar Haydari

Absorber and Window Study – CdSexTe1-x/CdTe Thin Film Solar Cells , Chih-An Hsu

Methods and Algorithms to Enhance the Security, Increase the Throughput, and Decrease the Synchronization Delay in 5G Networks , Asim Mazin

Piezoelectric ZnO Nanowires as a Tunable Interface Material for Opto-Electronic Applications , Anand Kumar Santhanakrishna

Security Framework for the Internet of Things Leveraging Network Telescopes and Machine Learning , Farooq Israr Ahmed Shaikh

Diversity and Network Coded 5G Wireless Network Infrastructure for Ultra-Reliable Communications , Nabeel Ibrahim Sulieman

The Design of Passive Networks with Full-Wave Component Models , Eric Valentino

CubeSat Constellation Design for Intersatellite Linking , Michael T. White

Theses/Dissertations from 2018 2018

Design of Micro-Scale Energy Harvesting Systems for Low Power Applications Using Enhanced Power Management System , Majdi M. Ababneh

A Study on the Adaptability of Immune System Principles to Wireless Sensor Network and IoT Security , Vishwa Alaparthy

Validation of Results of Smart Grid Protection through Self-Healing , Felipe Framil Assumpção

A Novel Framework to Determine Physiological Signals From Blood Flow Dynamics , Prashanth Chetlur Adithya

The Effect of Processing Conditions on the Energetic Diagram of CdTe Thin Films Studied by Photoluminescence , Shamara P. Collins

Physical Electronic Properties of Self-Assembled 2D and 3D Surface Mounted Metal-Organic Frameworks , Radwan Elzein

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Home > USC Columbia > Engineering and Computing, College of > Electrical Engineering > Electrical Engineering Theses and Dissertations

Electrical Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

Analysis, Measurement, and Modeling of Millimeter Wave Channels for Aviation Applications , Zeenat Afroze

Physics-Based and Behavioral Models for Fuel Cells , Charles Chima Anyim

Novel Structures and Thin Film Techniques for Reconfigurable RF Technologies With Improved Signal Integrity , Jinqun Ge

Suitability of Quantized DEVS-LIM Methods for Simulation of Power Systems , Navid Gholizadeh

Quantized State Simulation of Electrical Power Systems , Joseph Micah Hood

Optimization of Ultrawide Bandgap Semiconductor Materials for Heterostructure Field Effect Transistors (HFETs) , Mohi Uddin Jewel

Deep Learning Based Fault Diagnosis and Prognosis for Bearing , Guangxing Niu

High-Performance Wide Bandgap Semiconductor Power Modules Enabled by Advanced Two-Phase Mini-Channel Cooling , Bo Tian

Magnetic Softness Tuned Superparamagnetic Nanoparticles for Highly Efficient Cancer Theranostics , Jie Wang

Theses/Dissertations from 2022 2022

MIMO Antenna Systems for Wireless Handheld Devices , Ahmed H. Abdelgawwad

Applications of Laser Liftoff Technique for Wide Bandgap Power and Flexible Electronics , Md Didarul Alam

Non-intrusive Microwave Surface Wave Technique For Cable Damage and Aging Detection , Ahmed Shah Arman

Pulse Width Modulation-Based Voltage Balancing and Circulating Current Control for Modular Multilevel Converters , Md Multan Biswas

Networked Digital Predictive Control for Modular DC-DC Converters , Castulo Aaron De la O Pérez

Development of Micro-Sized Algan Deep Ultraviolet Light Emitting Diodes and Monolithic Photonic Integrated Circuits , Richard Speight Floyd III

Distributed Interdigital Capacitor (IDC) Sensing for Cable Insulation Aging and Degradation Detection , Md Nazmul Al Imran

Epitaxial 4H-SiC Radiation Detectors for Harsh Environment Applications , Joshua W. Kleppinger

Growth, Characterization and Evaluation of CdZnTeSe Single Crystals for Room Temperature Radiation Detectors , Ritwik Nag

Automated Contingency Management for Water Recycling System , Shijie Tang

Closed Form Implicitly Integrated Models for Computationally Efficient Simulation of Power Electronics , Andrew Wunderlich

Theses/Dissertations from 2021 2021

Real Time Simulation and Hardware in the Loop Methods for Power Electronics Power Distribution Systems , Michele Difronzo

Time-Domain Measurement of Magnetization Dynamics in Ferrofluids , Brian Egenriether

Increased Detectivity and Low Temperature Performance Analysis of Sub-20μm Micropixel Array A1GaN UV Photodiodes , Samia Islam

Operating Strategies and Disturbance Characterization for DC Microgrids , Miles Leonard-Albert

Real-Time Probabilistic Solvers for Digital Twins of Power Electronic Systems , Matthew Aaron Milton

Ultrawide Bandgap Algan-Channel Metal Oxide Semiconductor Heterostructure Field Effect Transistors With High- K Gate Dielectrics , Md Abu Shahab Mollah

Temperature Dependence of Electroluminescence and Current-Voltage Characteristics of Arrays of Deep Ultraviolet Algan Micropixel Led , Dhruvinkumar Prakashchandra Patel

Robust Adaptive Model Predictive Control of Nonlinear Sample-Data Systems , Lixing Yang

Theses/Dissertations from 2020 2020

Methods for Dynamic Stabilization, Performance Improvement, and Load Power Sharing In DC Power Distribution Systems , Hessamaldin Abdollahi

Data-Driven Modeling Through Power Hardware in the Loop Experiments: A PV Micro-Inverter Example , Hayder Dawood Abbood Almukhtar

Novel Multi-User Chirp Signaling Schemes for Future Aviation Communication Applications , Nozhan Hosseini

The Hybridization of a Graphene and Silicon Carbide Schottky Optoelectronic Device by the Incorporation of a Lead Sulfide Quantum Dot Film , Joshua Letton

Channel Modeling and Tropospheric Effects on Millimeter Wave Communications for Aviation Applications , Jinwen Liu

30 GHz Path Loss Modeling and Performance Evaluation for Noncoherent M-ary Frequency Shift Keying in the 30 GHz Band , Mohanad Razak Mohsen

Room Temperature Semiconductor Radiation Detectors Based on CdZnTe and CdZnTeSe , Mohsin Sajjad

Optimization of Vehicle to Grid System in a Power System With Unit Commitment , Charles Uko

Design of High Efficiency Wireless Power Thansfer System With Nonlinear Resonator , Yibing Zhang

Theses/Dissertations from 2019 2019

DC Bus Stabilization and Dynamic Performance Improvement of a Multi-Converter System , Silvia Arrua

Fabrication and Characterization of Thin Films for Heterojunction Solar Cells and Radiation Detectors , Towhid A. Chowdhury

Low Frequency Injection as a Method of Low-Level DC Microgrid Communication , Matthew Davidson

Modeling and Loss Analysis of SiC Power Semiconductor Devices for Switching Converter Applications , Soheila Eskandari

Path Loss Models for Two Small Airport Indoor Environments at 31 GHz , Alexander L. Grant

Wireless RF Induced Energy Absorption and Heating of Lanthanum-Nickel Alloy in the Near-Field , Michael Dillon Lindsay

Fractional Order and Virtual Variable Sampling Design of Repetitive Control for Power Converters , Zhichao Liu

Curbside Antenna to Vehicle Path Loss Measurements and Modeling in Three Frequency Bands , Patrick Murphy

Finite Element Electromagnetic (EM) Analyses of Induction Heating of Thermoplastic Composites , Ankit Patel

Constrained Consensus in Continuous-Time Multi-Agent Systems , Zheqing Zhou

Theses/Dissertations from 2018 2018

Study Of 4H-SiC And ALxGA1-xN Based Heterojunction Devices For Ultraviolet Detection Applications , Venkata Surya Naga Raju Chava

Photovoltaic Inverter Control to Sustain High Quality of Service , Yan Chen

Novel Wideband EBG Structures For Isolation Improvement Between Cosite Antennas , Paul John Czeresko III

High Resolution Radiation Detectors Based On 4H-SiC N-Type Epitaxial Layers And Pixilated CdZnTe Single Crystal Devices , Cihan Oner

Ku-Band AG Channel Modeling , Albert Smith

Quantifying Time Retarded Electromagnetic Fields and Their Applications in Transmission Lines , Brandon Thomas Gore

Structurally Integrated Reconfigurable Wideband Array For Conformal Applications , Michael Damon Wright

Multifunction Radio Frequency Composite Structures , David L. Zeppettella

Theses/Dissertations from 2017 2017

Dynamic Model and Control of Quadrotor in the Presence of Uncertainties , Courage Agho

Ultra High-Speed Signaling and Return on Technology Investment (ROTI) for the Electrical Interconnects Sector , Azniza Abd Aziz

High Quality Low Offcut 4h-Sic Epitaxy and Integrated Growth of Epitaxial Graphene for Hybrid Graphene/Sic Devices , Anusha Balachandran

Cable Health Monitoring System Built Into Power Converter Using Time Domain Reflectometry , Hossein Baninajar

Low Bandwidth Communication for Networked Power Hardware-In-The-Loop Simulation , Sean Borgsteede

Fault Protection In DC Microgrids Based On Autonomous Operation Of All Components , Qiu Deng

Distributed Optimization Method for Intelligent Control of DC Microgrids , Yuanyuan Fan

Three Segment Adaptive Power Electronic Compensator for Non-periodic Currents , Amin Ghaderi

Study of Mos2 and Graphene-Based Heterojunctions for Electronic and Sensing Applications , Ifat Jahangir

Evaluation Of Multicarrier Air Interfaces In The Presence Of Interference For L-Band And C-Band Air-Ground Communications , Hosseinali Jamal

Analysis and Design of a Highly Compact Ellipse-Shaped Ultra-Wideband Bandpass Filter (Uwb-Bpf) with a Notched Band , Xuetan Liu

Study of Ultra Wide Band Gap AlxGa1-xN Field Effect Transistors For Power Electronic Applications , Sakib Mohammed Muhtadi

Growth and Characterization of Anisotropic GaSe Semiconductor for Radiation Detection and THz Applications , Haseeb Nazir

Physical Characterization of Electrodeposited PCB Copper Foil Surfaces , Blessing Kolawole Ojo

Wideband Low Side Lobe Aperture Coupled Patch Phased Array Antennas , Dhruva Poduval

Software Modelling For Real World Faults On AC Transmission Protective Systems Analysis And Effects , Iandale Tualla

Improved N-Type 4h-Sic Epitaxial Layer Radiation Detectors and Noise Analysis of Front-End Readout Electronics , Khai V. Nguyen

Integrating Nano-Patterned Ferromagnetic and Ferroelectric Materials For Smart Tunable Microwave Applications , Tengxing Wang

An Application of Dempster-Shafer Fusion Theory to Lithium-ion Battery Prognostics and Health Management , John Weddington

A Lebesgue Sampling based Diagnosis and Prognosis Methodology with Application to Lithium-ion Batteries , Wuzhao Yan

Theses/Dissertations from 2016 2016

Positive Feedforward Control Design For Stabilization Of A Single-Bus DC Power Distribution System Using An Improved Impedance Identification Technique , Silvia Arrúa

Simulation Of GaN Based MIS Varactor , Bojidha Babu

High Gain Pattern Reconfigurable Antenna Arrays for Portable and Body-Centric Wireless Applications , Nowrin Hasan Chamok

An Improved Ship Design Tool for Comparing Performance of Multiple Ship Designs across User-Defined Missions , Helder Jose de Almeida Pais

Estimating Local Average Power In A Line-Of-Sight Indoor Channel: Spatial Sampling And Processing , Israt Jahan Disha

Time-Domain Measurement Of Ultrafast Magnetization Dynamics In Magnetic Nanoparticles , Brian Egenriether

Finite Control Set Model Predictive Control Of Direct Matrix Converter And Dual-Output Power Converters , Ozan Gulbudak

Distributed Optimization And Control Of Islanded Microgrids , Md Rishad Hossain

Engineering Model Of III-Nitride Power Heterostructure Field Effect Transistor On Silicon Substrate , Mohammad Mirwazul Islam

A Comparison Of FPGA Implementation Of Latency-Based Solvers For Power Electronic System Real-Time Simulation , Matthew Aaron Milton

Investigation Of Wide Bandgap Semiconductor Devices For Radiation Detection Applications , Rahmi Orhon Pak

Modeling and Loss Analysis of Wide Bandgap Power Semiconductor Devices , Kang Peng

Miniaturized RF Components With A Novel Tunable Engineered Substrate For Wireless Communication Systems , Yujia Peng

Wireless Channel Modeling For Networks On Chips , William Rayess

Comparative Analysis Of Current Control Methods For Modular Multilevel Converters , Jordan D. Rogers

Applications Of Impedance Identification To Electric Ship System Control And Power Hardware-In-The-Loop Simulation , Jonathan Siegers

System Level Analysis And Design For Wireless Inter-Chip Interconnection Communication Systems By Applying Advanced Wireless Communication Technologies , Xin Zheng

Theses/Dissertations from 2015 2015

Design, Fabrication, and Characterization of Pseudomorphic and Quasi-Pseudomorphic AlGaN Based Deep Ultraviolet Light Emitting Diodes Over Sapphire , Fatima Asif

III-V Nitride Based Microcantilever Heaters for Unique Multimodal Detection of Volatile Organic Compounds at Low Temperature , Ifat Jahangir

Defect Characterization of 4H-SIC by Deep Level Transient Spectroscopy (DLTS) and Influence of Defects on Device Performance , Mohammad Abdul Mannan

AN INVESTIGATION INTO QUASI-TUNABLE RF PASSIVE CIRCUIT DESIGN , Terry L. Moss

Fabrication and Characterization of Graphene based Biocompatible Ion-Sensitive Field Effect Transistor (ISFET) , Rina Patel

Investigation of Modular Multilevel Converter Performance under Non-Ideal Distribution System Conditions , Rostan Rodrigues

Technology Development and Characterization of AIInN/GaN HEMTs for High Power Application , Mahbuba Sultana

Dual-Band Non-Stationary Channel Modeling for the Air-Ground Channel , Ruoyu Sun

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

MIT Theses are openly available to all readers. Please share how this access affects or benefits you. Your story matters.

If you have questions about MIT theses in DSpace, [email protected] . See also Access & Availability Questions or About MIT Theses in DSpace .

If you are a recent MIT graduate, your thesis will be added to DSpace within 3-6 months after your graduation date. Please email [email protected] with any questions.

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L-dopa metabolism and the regulation of brain polysome aggregation 

The North-Eastern Fishery question since 1886, a record of diplomatic relations 

Metal complexes as models for vitamin B₆ catalysis 

Electrical and Electronic Engineering Theses

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This collection is made up of doctoral and master theses by research, which have been received in accordance with university regulations.

For more information, please visit the UCD Library Theses Information guide .

Recent Submissions

• Publication RF Amplification and Filtering Techniques for Cellular Receivers ( University College Dublin. School of Electrical and Electronic Engineering, 2021 ) Bozorg, Amir   The usage of various wireless standards, such as Bluetooth, Wi-Fi, GPS, and 4G/5G cellular, has been continually increasing. In order to utilize the frequency bands efficiently and to support new communication standards with lower power consumption, lower occupied volume and at reduced costs, multimode transceivers, software defined radios (SDRs), cognitive radios, etc., have been actively investigated. Broadband behavior of a wireless receiver is typically defined by its front-end low-noise amplifier (LNA), whose design must consider trade-offs between input matching, noise figure (NF), gain, bandwidth, linearity, and voltage headroom in a given process technology. Moreover, monolithic RF wireless receivers have been trending toward high intermediatefrequency (IF) or superhetrodyne radios thanks to recent breakthroughs in silicon integration of band-pass channel-select filters. The main motivation is to avoid the common issues in the currently predominant zero/low-IF receivers, such as poor 2nd-order nonlinearity, sensitivity to 1/f (i.e. flicker) noise and time-variant dc offsets, especially in the fine CMOS technology. To avoid interferers and blockers at the susceptible image frequencies that the high-IF entails, band-pass filters (BPF) with high quality (Q) factor components for sharp transfer-function transition characteristics are now required. In addition, integrated low-pass filters (LPF) with strong rejection of out-of-band frequency components are essential building blocks in a variety of applications, such as telecommunications, video signal processing, anti-aliasing filtering, etc. Attention is drawn toward structures featuring low noise, small area, high in-/out-of-band linearity performance, and low-power consumption. This thesis comprises three main parts. In the first part (Chapters 2 and 3), we focus on the design and implementation of several innovative wideband low-noise (transconductance) amplifiers [LN(T)A] for wireless cellular applications. In the first design, we introduce new approaches to reduce the noise figure of the noise-cancellation LNAs without sacrificing the power consumption budget, which leads to NF of 2 dB without adding extra power consumption. The proposed LNAs also have the capability to be used in current-mode receivers, especially in discrete-time receivers, as in the form of low noise transconductance amplifier (LNTA). In the second design, two different two-fold noise cancellation approaches are proposed, which not only improve the noise performance of the design, but also achieve high linearity (IIP3=+4.25 dBm). The proposed LN(T)As are implemented in TSMC 28-nm LP CMOS technology to prove that they are suitable for applications such as sub-6 GHz 5G receivers. The second objective of this dissertation research is to invent a novel method of band-pass filtering, which leads to achieving very sharp and selective band-pass filtering with high linearity and low input referred (IRN) noise (Chapter 4). This technique improves the noise and linearity performance without adding extra clock phases. Hence, the duty cycle of the clock phases stays constant, despite the sophisticated improvements. Moreover, due to its sharp filtering, it can filter out high blockers of near channels and can increase the receiver’s blocker tolerance. With the same total capacitor size and clock duty cycle as in a 1st-order complex charge-sharing band-pass filter (CS BPF), the proposed design achieves 20 dB better out-of-band filtering compared to the prior-art 1st-order CS BPF and 10 dB better out-of-band filtering compared to the conventional 2nd-order C-CS BPF. Finally, the stop-band rejection of the discrete-time infinite-impulse response (IIR) lowpass filter is improved by applying a novel technique to enhance the anti-aliasing filtering (Chapter 5). The aim is to introduce a 4th-order charge rotating (CR) discrete-time (DT) LPF, which achieves the record of stop-band rejection of 120 dB by using a novel pseudolinear interpolation technique while keeping the sampling frequency and the capacitor values constant.   83
• Publication Frequency Control of Virtual Power Plants ( University College Dublin. School of Electrical and Electronic Engineering, 2022 ) Zhong, Weilin   ; 0000-0001-6737-4873 The Virtual Power Plant (VPP) concept refers to the aggregation of Distributed Energy Resources (DERs) such as solar and wind power plants, Energy Storage Systems (ESSs), flexible loads, and communication networks, all coordinated to operate as a single generating unit. Using as starting point a comprehensive literature review of the VPP concept and its frequency regulation technologies, the thesis proposes a variety of frequency control and state estimation approaches of VPPs, as follows. First, the thesis studies the impact of coordinated frequency control of VPPs on power system transients, in which ESSs are utilized to provide fast frequency regulation. The thesis also proposes a simple yet effective coordinated control of DERs and ESSs able to integrate the total active power output of the DERs, and, thus, to improve the overall power system dynamic performance. The impact of topology on the primary frequency regulation of VPPs is also investigated. With this regard, two types of VPPs topologies are considered, that is, a topology where the DERs that compose the VPP are scattered all-over the transmission grid; and a topology where the DERs are all connected to the same distribution system that is connected to the rest of the transmission grid through a single bus. Next, the thesis proposes a control scheme to improve the dynamic response of power systems through the automatic regulators of converter-based DERs. In this scheme, both active and reactive power control of DERs are varied to regulate both frequency and voltage, as opposed to current practice where frequency and voltage controllers are decoupled. To properly compare the proposed control with conventional schemes, the thesis also defines a metric that captures the combined effect of frequency/voltage response at any given bus of the network. Finally, the thesis presents an on-line estimation method to track the equivalent, time-varying inertia as well as the fast frequency control droop gain provided by VPPs. The proposed method relies on the estimation of the rate of change of the active and reactive power at the point of connection of the VPP with the rest of the grid. It provides, as a byproduct, an estimation of the VPP’s internal equivalent reactance based on the voltage and reactive power variations at the point of connection. Throughout the thesis, the proposed techniques are duly validated through time domain simulations and Monte Carlo simulations, based on real-world network models that include stochastic processes as well as communication delays.   139
• Publication Low-Complexity Digital Predistortion for 5G Massive MIMO and Handset Transmitters ( University College Dublin. School of Electrical and Electronic Engineering, 2022 ) Wang, Xiaoyu   The demand for new wireless communication systems to support high mobility and low latency necessitates a rethink of the architecture of wireless communication systems as well as the design of their key components. This thesis presents several novel techniques to solve the major challenges in digital predistortion (DPD) for millimeter wave multi-input multi-output (MIMO) and handset transmitters to lower the hardware cost and computational complexity of the fifth generation (5G) communication systems. The first part of the thesis focuses on the architecture of the MIMO DPD solution for 5G transmitters. To extract DPD model coefficients, a feedback data acquisition path is required. In conventional single-input single-output (SISO) systems, the output is usually acquired directly from the power amplifier (PA) with a coupler. In massive MIMO systems, the number of RF chains is large. Using dedicated feedback paths for each PA separately is not feasible. To lower the hardware cost, a novel data acquisition scheme is proposed to obtain the output signals in far field over the air (OTA) using a single antenna and feedback loop, and then reconstruct the output of each PA. Simulation and experimental results demonstrate that the proposed OTA data acquisition can accurately reconstruct the output of each PA in the MIMO systems and the DPD solutions derived from the reconstructed data can successfully linearize the nonlinear MIMO transmitters. In the multi-user scenario, the nonlinearity of the transmitters varies with the movement of user equipments (UEs), and the DPD model coefficients need to be updated accordingly. To meet the requirement of high mobility, the complexity of the system update must be low. In the second part of the thesis, we present a new DPD system, where DPD model can be updated fast and accurately without capturing PA output or applying costly model extraction algorithms. In the proposed method, nonlinear characteristics of the PA are encoded into low-dimensional PA features using feature extraction algorithms. To identify DPD model coefficients, PA features are extracted first and the DPD model coefficients are then generated directly by DPD generator with PA features. Experimental results show that the proposed DPD solution can linearize PA with very low complexity compared to that using the conventional solutions. Finally, the focus shifts to handset transmitters. Conventionally, DPD is usually deployed for high power base stations. With the continuously increasing bandwidth, DPD may also be required for handset PAs in 5G communication systems. Different from the models used for base stations, DPD model for handset PAs must have very low complexity because of the stringent power budget limit. At the same time, the tolerance for load mismatch must also be considered. The third part of the thesis analyzes the characteristics of handset PAs with load mismatch and introduces a low-complexity DPD model based on magnitude-selective affine (MSA) function. Experimental results demonstrate that the extended MSA (EMSA) model shows better linearization performance while keeping much lower complexity than the conventional DPD models.   9
• Publication Circularly Polarized Antennas for 5G Millimetre-Wave Communications ( University College Dublin. School of Electrical and Electronic Engineering, 2022 ) Sadeghi-Marasht, Samaneh   The need of a higher data rate, lower latency, and cost efficiency led to the fifth-generation (5G) emerging as a new communication standard. This generation includes many unused frequencies with high available bandwidth channels that can provide higher capacities such as millimeter-wave (mm-wave) bands. One of the main challenges of working at high frequencies of this generation is path loss that needs to be addressed. To overcome this issue, a high gain antenna with a small size is required. Consequently, the first major question arises: how to effectively increase the gain and efficiency of the antenna at a high frequency with a small size. Importantly, it is vital to transport as much as data is possible without any sensitivity to the alignment of the transmitter or receiver antenna that can be satisfied by using circularly polarized (CP) radiating waves. Thus, the second research question emerges: how to provide high gain small size antenna with CP at high frequencies. To address the first two major research questions in this thesis we designed a miniature dual-band CP antenna that works at 28 GHz and 38 GHz with high gain. This antenna can be implemented in mobile devices, unmanned aerial vehicles (UAVs), and base stations (BSs) because of the small sizes of 11 × 14 × 0.508 mm3. For getting a deep insight into the structure and the design procedures of the dual-band antenna, characteristic mode analysis (CMA) is employed. Note that the CMA is not sensitive to the feeding position and the material in this analysis is not lossy. Therefore, after using CMA, the optimization is conducted in the full-wave simulation as the feeding is added to the structure, and the material is lossy. The single CP antenna covered the bands of 27-28.4 GHz and 34.7-40 GHz, with a maximum gain of 6.3 dBiC and 5.51 dBiC at 28 GHz and 38 GHz, respectively, whereas the radiation efficiency is 94% and 96% with the ARBW of 2.5% and 1.5%. A phased antenna array is then constructed to provide a higher gain for this designed dual-band antenna. In a phased antenna array we consider four designed single element antennas close to each other to create a 2 × 2 antenna array with high gain at 28 GHz and 38 GHz. For a 4 × 4 antenna array, an electromagnetic band-gap (EBG) is used to reduce the mutual coupling between elements in the array. The radiating signals will be sent to different users with circular polarization via electronic beamforming. The position of each antenna element is also optimized to provide the constructive radiating wave towards our desired directions. The array was able to steer the beam between -26.5 to 29.5 degrees for the lower band and -29.5 to 35.5 degrees for the higher band with the maximum gain of 12.8 dBiC and 11.5 dBiC, respectively. Another method to enhance the gain is implementing a lens structure in front of the radiating antenna. Here, a significant challenge is to maintain the CP of the incoming CP wave while the gain is increased. Therefore, the third research question is how to design a lens with the capability of enhancing the gain and keeping the CP when the lens is fed by a CP antenna source. Concerning the third major research question, in this thesis, we designed a CP lens structure. First, a multi-layer lens with a thickness of 2.03 mm was designed, and then a one-layer lens structure with a thickness of just 0.508 mm was made. The lens was located in front of different radiating antennas. These lens structures resulted in significant gain enhancement for various feeding antennas working at 28 GHz. The unit cell of the one-layer lens can provide a broad phase shift compared to the multi-layer counterpart. The proposed lens structures not only increased the gain of the incoming CP wave but also kept its polarization to overcome the issues of reflectivity, absorption, inclement weather, and mis   16
• Publication Contributions to the theory and development of low-jitter bang-bang integrated frequency synthesizers ( University College Dublin. School of Electrical and Electronic Engineering, 2022 ) Avallone, Luca   The advent of next-generation wireless standards demands ever-increasing data-rate communication systems. It mainly involves a higher carrier frequency to take advantage of wider bandwidth channels and more complex modulation schemes to pack more information into each symbol. In this context, the bottleneck is represented by the frequency synthesizer used to generate the local oscillator signal for the transceiver, which has to operate under stringent low output jitter requirements. Such performance must be provided at low power dissipation and area consumption in order to meet the requirements of low-cost and high integration level of the modern communication systems. The digital phase locked loop architecture can meet the required jitter performance while synthesizing fractional-N frequencies. Such PLLs offer significant advantages over their traditional analog counterpart in terms of area occupation, flexibility and scalability in advanced deep sub-µm CMOS technologies. The digital PLL topology based on a bang-bang phase detector, denoted bang-bang PLL, which is a single bit digital phase detector, leads to a less complex and more power-efficient architecture, but, on the other hand, it also introduces a hard nonlinearity in the loop, making the analysis of the bang-bang topology more challenging than in the multi-bit case. A comprehensive phase noise analysis of bang-bang digital PLLs is presented which overcomes the limitations of previous models and it is valid in all cases where physical noise sources (i.e. reference and DCO) are dominant with respect to quantization errors. In particular, (i) input-referred jitter is estimated by means of a linear time-domain analysis derived from a nonlinear DPLL model, and (ii) phase noise spectra are predicted using a discrete-time domain model that accounts for time-variant effects that arise from the intrinsic multirate nature of the DPLL. The possibility of accurately determining the DPLL jitter and phase noise spectra, enabled by the novel analysis presented in this thesis, is key to significantly speeding up the design-space exploration phase, since it allows one to perform quick and precise parametric sweeps. However, even when designed properly, bang-bang PLLs are affected by the unavoidable bang-bang phase detector quantization noise, which is added on top of the intrinsic reference and DCO phase noise. The quantization noise can be appreciated in the PLL's output spectrum as increased in band noise with respect to the analog counterpart, that, in fact, still achieves superior performance in terms of jitter-power. This results in worse integrated jitter performance for the same intrinsic levels of reference and oscillator phase noise. To overcome the binary phase detector quantization noise in DPLLs, state-of-the-art works rely on a multi-bit time-to-digital converter to digitize the PLL phase error with a physical resolution below the input jitter, leading to increased design complexity, with an associated area and power penalty. In order to overcome the ultimate limit of the bang-bang PLL, a digital PLL based on a bang-bang phase detector with adaptively optimized noise shaping has been fabricated in a 28nm CMOS process. The prototype occupies a core area of 0.21 mm2 and draws 10.8 mW power from a 0.9 V supply. The integrated jitter is 69.52 fs and 80.72 fs for the integer-N and the fractional-N case, respectively. Achieving a jitter-power figure-of-merit of -251.5 dB in fractional-N mode, the proposed system effectively bridges the gap to analog implementations. The first chapter of this work is introductory, and is intended to give some background information needed to underpin the remaining part of the thesis. The following chapters, 2, 3 and 4, collect the results achieved during the PhD activity, and each of them is associated with a publication. In the last chapter, conclusions are drawn and the open points are discussed in order to be considered for future work.   204
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Home > Lyle School of Engineering > Electrical Engineering > Theses and Dissertations

Electrical Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

STUDY OF RADIATION EFFECTS IN GAN-BASED DEVICES , Han Gao

Quantum and Classical Learning Algorithms for Grid Integration of Energy Storage and Renewables: Operation, Modelling, and Planning , Bin Huang

Advances in Modern Power Distribution System Planning, Operation, and Market Participation , Yanling Lin

Design and Fabrication of a Low Power 7.2 Terabit Transmitter for Exascale Computing , Scott McWilliams and Scott McWilliams

High Performance Scene Generator for Testing of Imaging Sensors , Austin Modoff

Modeling and Compensating of Noise in Time-of-Flight Sensors , Bryan Rodriguez

On The Integration Of Hydrogen Into Integrated Energy Systems: Reliability Assessment And Optimal Operation And Planning , Tao Wu

SERIES APERTURE COUPLED FED PHASED ARRAY ANTENNA , Guang Yang

Theses/Dissertations from 2022 2022

Development and Application of a Design Flow for Photonic Integrated Circuits , Ifeanyi Achu

In Band Full Duplex For Wireless Communication, A Medium Access Control Perspective , Yazeed Alkhrijah

Distribution Network Planning and Operation With Autonomous Agents , Abdulraheem Hassan Alobaidi

High Gain and Wide Bandwidth Dielectric Resonator Antennas Fed by Two Different Excitation Techniques , Khalid Alsirhani

The Transport of Acoustic Energy at Two-Dimensional Material Interfaces , Jesus Bolivar

First Order Enhanced Coupling Strength (ECS) Gratings for Laser-Electro Absorption Modulator (EAM) Transmitters , Freddie Castillo II

Second-Order Enhanced Coupling Strength Grating Out-Couplers for a Monolithic Laser-Electro-Absorption Modulator , Maryam Dezfuli

Distribution Network Operation With Solar Photovoltaic And Energy Storage Technology , Mohammad Ramin Feizi

Enhanced Design for Testability Circuitry for Test , Hui Jiang

An Efficient Integrated Circuit Simulator And Time Domain Adjoint Sensitivity Analysis , Jiahua Li

Advances in Power System Operation and Optimization , You Lin

GoLightly : A GPU Implementation of the Finite-Difference Time-Domain Method , S. David Lively

Empirical Models of 3D Air-to-Air Communication Channels , Neil Matson

Orbital Angular Momentum Orthogonality-Based Crosstalk Reduction: Theory And Experiment , Unaiza Tariq

Closed-Loop Brain-Computer Interfaces for Memory Restoration Using Deep Brain Stimulation , David Xiaoliang Wang

Raman Thermometry Of Graphene Based Thermal Materials , Pengcheng Xu

Theses/Dissertations from 2021 2021

Characterization of UAV-based Wireless Channels With Diverse Antenna Configurations , Mahmoud Badi

A 12-bit 1GS/S SAR-Assisted Pipeline ADC with Harmonic Injecting Residue Amplifier , Liang Fang

Three-Dimensional (3D) Memory I/O Interface Design Using Quad-Band Interconnect (QBI) And Eight-Level Pulse Amplitude Modulation (8-PAM) , Xiaoyan Wang

Electricity Market Operations With Massive Renewable Integration: New Designs , Shengfei Yin

Context-Aware Sensing and Fusion for Structural Health Monitoring and Night Time Traffic Surveillance , Xinxiang Zhang

Theses/Dissertations from 2020 2020

Heuristic-Based Threat Analysis of Register-Transfer-Level Hardware Designs , Wesley Layton Ellington

Learning Deep Architectures for Power Systems Operation and Analysis , Mahdi Khodayar

A 2.56 Gbps Serial Wireline Transceiver that Supports An Auxiliary Channel and A Hybrid Line Driver to Compensate Large Channel Loss , Xiaoran Wang

Machine Learning Applications In Power Systems , Xinan Wang

Design of a Drone-Flight-Enabled Wireless Isolation Chamber , John Wensowitch

On-Chip Nonreciprocal Components for Full-Duplex Communications and Gaussian Regulated Gate Driver for Electromagnetic Interference Reduction , Chang Yang

Model-Based and Data-driven Situational Awareness for Distribution System Monitoring and Control , Ying Zhang

Theses/Dissertations from 2019 2019

Sparse Transducer Imaging , Sen Bing

Wireless Channel Characterization Based on Crowdsourced Data and Geographical Features , Rita Enami

Wireless Channel Characterization based on Crowdsourced Data and Geographical Features , Rita Enami

High-Speed Successive Approximation Register (SAR) ADC Design with Multiple Concurrent Comparators , Tao Fu

Stochastic Orthogonalization and Its Application to Machine Learning , Yu Hong

Parametric Amplification Study and Applications in Millimeter-Wave Transmitters , Sherry Huang

Reducing the Production Cost of Semiconductor Chips Using (Parallel and Concurrent) Testing and Real-Time Monitoring , Qutaiba Khasawneh

Performance-Aware and Power-Efficient Three Dimensional (3D) Integrated Circuit (IC) Design Utilizing Evolutionary Algorithms , Nahid Mirzaie

Feedback Mechanisms for Centralized and Distributed Mobile Systems , Yan Shi

Technology-dependent Quantum Logic Synthesis and Compilation , Kaitlin Smith

Leveraging Geographical and Spectral Information for Efficient Cellular Systems , Matthew Tonnemacher

Operation and Planning of Data Centers in Electricity Networks , Ali Vafamehr

Theses/Dissertations from 2018 2018

Standing-Wave Dielectric Array Antennas , Ayman Althuwayb

High-Performance and Energy Efficient Multi-Band I/O Interface for 3D Stacked Memory , Ahmed Alzahmi

Microgrids: Resilience, Reliability, and Market Structure , Saeed Dehghan Manshadi

Circularly Polarized Two-Dimensional Microstrip Standing-Wave Array Antenna , Yang Fan

Investigation of the effects of harmful radiation on type-II strained layer superlattice focal plane arrays operated in the long wave infrared , Patrick Fumo

Computational Theories For Human Stereo Vision , Han Gao

Enhanced Coupling Strength Gratings for Outcouplers in Optical Waveguides , Ruo-Hua He

A Novel Ultrasound Imaging Technique Using Random Signals , Anahita Khalilzadeh

Indirect Imaging using Heterodyne Remote Digital Holography , Muralidhar Madabhushi Balaji

Linear Phase Multi-Frequency Notch Filter via Quadratic Programming , Yueran Ma

Coordination Operation of Natural Gas and Electricity Network with Line-pack , Junyang Mi

A Comparative Analysis of Integrated Optical Waveguide Isolators with Magneto-Optic Layers , Reyhane Oztekin

Investigating the Effect of Detecting and Mitigating a Ring Oscillator-Based Hardware Trojan , Lakshmi Ramakrishnan

A 56-GS/s 8-Bit Time-Interleaved SAR ADC in 28-nm CMOS , Kexu Sun

Indirect Imaging Using Computational Imaging Techniques , Aparna Viswanath

High-Speed Single-Channel SAR ADC Using Coarse and Fine Comparators with Background Comparator Offset Calibration , Guanhua Wang

Subspace Averaging of Auditory Evoked Potentials , Xiaoliang wang

Accurate Vehicle Detection Using Multi-Camera Data Fusion and Machine Learning , Hao Wu

Using GS/s ADC to Evaluate the EMI of GaN-based Power Devices , Chi Zhang

Theses/Dissertations from 2017 2017

Design, Fabrication, and Demonstration of Square Holey Dielectric THZ Waveguides , Nafiseh Aflakian

Spatial Division Multiplexing Using Ince-Gaussian Beams , Sahil Sakpal

Securing Database Users from the Threat of SQL Injection Attacks , Nisharg Shah

A Low Power High Speed Mobile Memory I/O Interface Using Reconfigurable Multi-Band Multi-Modulation Signaling , Yue Yu

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• PhD in Electrical Engineering

The PhD in Electrical Engineering program provides both post-bachelor’s and post-master’s applicants the opportunity for study in a broad range of areas, many of which overlap with other disciplines within the College of Engineering and the University. As an Electrical Engineering PhD student, you will pursue theoretical and empirical studies in a topic area determined by your interests and those of your faculty research advisor. External collaborations with industry and government laboratories are encouraged. As a student in Boston, you will be in the midst of a vibrant high-tech research community where external collaborations with industry, government, and other universities are common. Your experience will likely not be limited to Boston; PhD students are supported by the department to present their work at many key conferences around the world. Our graduates go on to conduct independent basic or applied research, with careers in academia, industry, and government.

Contact ECE faculty members directly to find out about ongoing work and discuss your research interests (for contact information, visit the Electrical & Computer Engineering website ).

Learning Outcomes

• Demonstration of a strong foundation in electrical engineering as measured by the successful completion of coursework and the qualifying examination.
• Making an original and substantial contribution to the discipline of electrical engineering as measured by conference presentations, conference publications, or peer-reviewed journal articles, and the completion of a successful PhD thesis.
• Demonstrating the ability to effectively communicate original scientific research in electrical engineering as measured by the successful oral defense of a prospectus, PhD thesis, conference presentations, conference publications, or peer-reviewed journal articles.

PhD Program Requirements and Milestones

Course Requirements: In structured courses, only grades of B– or higher are accepted for fulfilling PhD credit requirements. In non-structured (P/F) courses, the P grade is acceptable for fulfilling PhD requirements. PhD students who receive grades of C+ or lower in 3 courses will be withdrawn from the program.

• Post-BS PhD students (64 credits): Minimum eight courses, of which four need to be ENG EC 500- and 700-level courses.
• Post-MS PhD students (32 credits): Minimum two ENG EC 500- and 700-level courses.
• ENG EC 801 Teaching Practicum and EC 802 Teaching Practicum
• Responsible Conduct of Research

PhD Candidacy: PhD students will have to show technical (TPC) and research (RPC) preparation in order to achieve PhD candidacy.

• Post-BS PhD students: GPA = 3.7 in four ECE courses within the first three academic semesters.
• Post-MS PhD students: GPA = 3.7 in two ECE courses within the first two academic semesters.
• Research Preparation Criterion (RPC): The research preparation requires a student to pass an oral examination related to a research article (chosen by the student and approved by the ECE Graduate Committee) and its background material. If a student fails the oral examination on the first attempt, they are given a makeup oral examination. All PhD students are required to satisfy the RPC by the end of the first year in the PhD program. Unless a student passes the oral examination on either the first or the second attempt, the student will not be allowed to stay in the PhD program.

Prospectus Defense: Students propose their dissertation research to a faculty committee within two years of achieving candidacy.

Dissertation Defense: The student defends their dissertation, which has to consist of novel work in the area of electrical engineering. The dissertation should be defended within five years of candidacy.

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Electrical Engineering (PhD)

Program description.

A century ago, the radio offered mass entertainment; 50 years later, television replaced it. Today we watch movies on handheld devices. Each evolutionary step was made possible by advances in electrical engineering. The Ph.D. in Electrical Engineering program is filled with students and faculty keenly aware of this cycle of progress. They prize the School of Engineering's emphasis on invention, innovation, and entrepreneurship — what we call i2e — and they maintain that emphasis through top-flight laboratories and a fierce dedication to advanced research.

Your studies with us will prepare you for a research career in electrical engineering after graduation. But you’ll also be capable of sharing these lessons with your own students, should you choose to teach at the university level.

Graduate students who have exhibited a high degree of scholastic proficiency and have given evidence of ability for conducting independent research may consider extending their goals toward the doctorate. The Ph.D. degree is awarded after completing the program of study and research described below, and upon preparation and defense of a dissertation representing an original and significant contribution deemed worthy of publication in a recognized scientific or engineering journal.

Thesis Advisor and Academic Advisor

Many factors enter into a student’s choice of an advisor for his/her research. In addition to the scientific, intellectual and personality factors which influence the pairing of student and professor, financial aspects must also be considered. For most full-time students, the ideal situation is to find an advisor who has a research topic of mutual interest, as well as funds available from research grants and contracts which can support the student as a Research Assistant (RA). A prospective student is encouraged to contact faculty members in his/her research area regarding the possibility of advising before applying to the Ph.D. program. A student who joins the Ph.D. program without securing a thesis advisor will be assigned an academic advisor, who will guide the student in terms of course selection and research activities before the qualifying exam. A Ph.D. student candidate must obtain the commitment of a faculty member in the student’s chosen area of major research interest to be the student’s thesis advisor before taking the qualifying exam.

Usually, the thesis advisor is a full-time faculty member in the Electrical and Computer Engineering Department and as such is considered chair of the student’s Guidance Committee. If a student wishes to have someone outside the ECE department to serve as his/her advisor, the student should submit the CV of the person and a letter of commitment from the person to serve as the advisor to the Ph.D. EE Program Director for approval. The thesis advisor must have a Ph.D. degree in the student’s proposed area of research.

Graduate Manual

For further information, please refer to the graduate manual, which can be found on the student resources page: https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/student-resources

Admission to graduate programs in the Tandon School of Engineering requires the following minimum components:

• Statement of Purpose
• Letters of Recommendation
• Transcripts
• Proficiency in English

The  NYU Tandon Graduate Admissions website  has additional information on school-wide admission.

Some programs may require additional components for admissions.

See the program's  How to Apply  for department-specific admission requirements and instructions.

Entrance Requirement

Students entering the doctoral program with a Bachelor’s degree must meet the entrance requirements for the Master’s program in the appropriate area of concentration. Students entering at the Master’s level for the Ph.D. in Electrical Engineering program are normally expected to have a Master’s in Electrical Engineering. Generally, admission to these Ph.D. programs is conditional on a student achieving a 3.5 grade point average in prior B.S. and M.S. programs. GRE is required for all applicants.

Program Requirements

The program requires the completion of 75 credits, comprised of the following:

Additional Program Requirements

Qualifying examination.

Students must pass the PhD qualifying examination before the deadline to continue in the program and register in ECE-GY 999X PHD DISSERTATION IN ELECTRICAL ENGINEERING DEPT . This is an oral exam and students must have completed certain course and project requirements before taking the oral exam. Results of the exam will be recorded in the student’s transcript as RE-GY 9990 PHD QUALIFYING EXAM . Detailed information about the requirements to be satisfied before taking the qualifying exam including both course requirement, project scope and application process can be found in ECE graduate student manual, available under the ECE department webpage.

Formation of Guidance Committee

Upon passing the qualifying examination, students should consult with their thesis adviser to identify additional members and form a guidance committee. The committee should be composed of at least three members with the thesis adviser usually acting as Chairperson. If the dissertation adviser is not a tenured or tenure track (T/TT) Tandon faculty member of the Department, then a T/TT Tandon faculty member of the Department in the student’s research area must be invited to serve as the Committee Chair. The committee should include at least two ECE T/TT faculty (including the adviser, and the NYUAD and NYUSH T/TT faculty), and may include at most two external members from outside the Department who are in the student’s area of major research interest. Students must submit the names of the members of their Guidance Committee to the Office of Graduate Studies with a copy to the ECE Graduate Office within 6 months of passing the qualifying exam. The Guidance Committee conducts the area examination and thesis defense, and approves the final thesis. The Guidance Committee appointment form can be obtained from the Office of Graduate Studies.

Area Examination

In the area exam, students review prior research in the chosen dissertation topic and present preliminary research results and an additional research plan. The area exam is conducted by the Guidance Committee, but may be open to other interested faculty and students. The Guidance Committee attends and evaluates the student’s performance and determines whether the student demonstrates the depth of knowledge and understanding necessary to carry out research in the chosen area. Results of the exam will be recorded in the student’s transcript as ECE-GY 9980 Electrical Engineering Area Exam .

Students must submit a written report that summarizes prior research and the future plan at least one week before the scheduled exam time. The report should follow the PhD dissertation template and be at least 25 pages long. The student must take and pass the area exam within 2 years after passing the PhD qualifying exam. Students who fail to pass the exam by the deadline will be disqualified from the program.

Thesis and Thesis Defense

Upon completion of the doctoral dissertation, the candidate undergoes an oral thesis defense. The defense is conducted by the Guidance Committee, but is open to all members of the ECE faculty and other invited people. The student must submit a complete draft of the dissertation to the Guidance Committee members at least one week before the scheduled defense. The student should consult the Office of Graduate Studies regarding how to submit, reproduce and bind the final manuscript.

Seminar Attendance

Students are required to register in ECE-GY 9900 Seminar in Electrical and Computer Engineering for at least 4 semesters. Satisfactory grade is given only if the student attends more than 2/3 of the seminars offered in a semester. Part-time students who have difficulty attending the seminar because of work conflict may be exempted from this requirement upon approval of the Ph.D. EE program director. Students should submit the approval note when applying for graduation.

Publication Requirement

PhD candidates must either have a peer-reviewed journal paper (accepted or published), or have at least one paper under review by a peer-reviewed journal on the thesis research subject.

For the journal paper(s), a letter of acceptance by a journal, or a letter of submission to a peer-reviewed journal along with acknowledgment of its receipt by the journal, will constitute the required evidence. If there is no accepted/published journal paper, the student should have at least one accepted conference paper that appeared in the proceedings of a peer-reviewed conference.

Sample Plan of Study

RE-GY 9990 PHD QUALIFYING EXAM is the prerequisite for GA-GY 9993 Writing and Communication for Engineers and Scientists and ECE-GY 999X PHD DISSERTATION IN ELECTRICAL ENGINEERING DEPT . This course is often taken in the Summer of the second term.

Learning Outcomes

Upon successful completion of the program, graduates will:

• Be prepared for a research career in electrical engineering and/or university-level teaching.
• Gain strong fundamental knowledge in several electrical engineering disciplines, skills for independent research in a sub-discipline and the ability to prepare and defend a dissertation representing an original and significant contribution for publication in a recognized scientific or engineering journal.
• Have acquired breadth and depth across a number of electrical engineering sub-disciplines.

Transfer Credit Policy

Nyu policies, tandon policies.

For PhD students with a prior MS degree, they are allowed to transfer up to 36 credits, of which 30 credits must be from their prior MS degree in ECE or a closely related field. For PhD. students admitted without a prior MS degree, they can transfer at most 6 credits. For the blanket transfer of 30 credits from a prior MS. degree in ECE or a closely related field toward the PhD degree in EE, the student must provide a copy of his or her prior MS degree and the official academic transcripts. For individual course transfer, the student must provide an official transcript in a sealed envelope as well as catalog descriptions of the courses to be transferred, for evaluation and approval by the department graduate advisor. The official transcript and/or diploma submitted during the student’s admission process can be used in place of new submission. Graduate courses taken at other schools of NYU or taken as an undergraduate student at NYU Tandon School of Engineering are exempt from this policy, but are subject to the general polity of the Tandon School of Engineering regarding such courses. This policy is effective for students entering in Spring 2018 and later.

University-wide policies can be found on the New York University Policy pages .

Additional academic policies can be found on the  Tandon academic policy page . 

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• Princeton University Doctoral Dissertations, 2011-2024

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PhD in Electrical Engineering

The PhD program in Electrical Engineering aims to teach students to develop efficient systems that contribute to business, safety, health, and entertainment.

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Innovative Curriculum

Northeastern’s PhD program in Electrical Engineering offers the opportunity to pursue cutting-edge research in the following areas: Signal and image processing; biomedical signal processing and brain-computer interface; pattern recognition; adaptive signal processing; wireless and underwater communications; information theory and coding; robust and distributed control; optics, photonics, acoustics, and magnetics sensors; radio frequency chip design; digital and mixed-signal integrated circuits; low-power very-large-scale integration; modeling and analysis of large scale power grids during normal operation and under faults; dc-dc converters, inverters, rectifiers, and ac-ac converters; as well as modulation techniques used in power electronics.

The PhD in Electrical Engineering is completely research-based with minimal and flexible course requirements which can be pursued as full-time or part-time. The exact nature of the program of study will vary among candidates depending on the dissertation subject area and the candidate’s preparation. The program will include one minor area of study in an area other than that in which the candidate is concentrating. The minor area may be in another discipline within electrical and computer engineering or the minor area may be in another relevant technical or scientific discipline. Applicants can enter the PhD program with either a BS or an MS degree in Electrical Engineering or a closely related field.

PhD in Electrical Engineering students also select their concentration from the following four areas.

• Communications, Control, and Signal Processing
• Electromagnetics, Plasma, and Optics
• Microsystems, Materials, and Devices
• Power Systems

The ECE department offers a variety of graduate courses giving students the flexibility in planning their course requirements according to their research requirements and personal interests. Many graduate courses are offered in two sections; in-class and streaming video. Part-time students and full-time students who have schedule conflicts can register in the streaming video sections.

• Northeastern ECE is the host or major partner in nine state-of-the-art research centers
• Financial support available
• Internationally-recognized Internships & Co-op opportunities
• Professional Development Workshop Series to complement the research and classroom experiences
• Northeastern ECE is a research powerhouse in the Boston area and beyond
• An ability to identify, formulate, and solve complex engineering problems.
• An ability to explain and apply engineering design principles, as appropriate to the program’s educational objectives.
• An ability to produce solutions that meet specified end-user needs.
• An ability to apply analytical, numerical, and/or experimental methods to analyze and design complex engineering systems, and to identify, formulate, and solve new challenging electrical engineering problems.
• An ability to direct independent scientific research in electrical engineering and related fields.
• An ability to formulate new research plans and communicate the research outcomes (both oral and written communication of research results).
• Qualifying exam: Students who already hold an MS degree and matriculate in the fall semester must take the qualifying exam in the spring semester of their first year. Students matriculating in spring semester, or students who hold a BS degree and matriculate in the fall semester , can postpone the exam to the second spring semester. Those who fail the exam the first time, have one more chance to take the exam. These students must take the exam the next spring after their first attempt.
• Research Advisor: Students should have a research advisor one year after their matriculation.
• Thesis Committee: The Dissertation Committee must be formed not later than six months after passing the qualifying exam.
• Comprehensive exam: The deadline for comprehensive exam is two years after passing the qualifying exam.
• Dissertation Defense: The dissertation defense should be scheduled at least one year after taking the comprehensive exam.

Dissertation/Thesis Instructions

Our graduates pursue careers within academia and beyond.

• Middle East Technical University
• University of Vermont
• Nexant Corporation
• Harvard Medical School – Spaulding Rehabilitation Hospital
• Qatar University
• Universidad Tecnologica de Bolivar
• Oak Ridge National Laboratory
• Metamagnetics Incorporated
• LoopPay Incorporated
• Merson Shanghai Co. Ltd.
• Qualcomm Technologies Incorporated
• Geophysical Survey Systems Incorporated
• Baylor College of Medicine
• Setem Technologies, LLC
• MIT Lincoln Laboratory
• University of California, Los Angeles
• Argonne National Laboratory
• University of California, Berkeley
• Boston Children’s Hosptial
• Japanese Ministry of Defense, Tokyo
• Siemens Healthineers
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Experiential Learning

With a large number of high-tech firms in and around Boston, both start-ups and large multinational corporations, many PhD students do an internship during their program while remaining right here in Boston. Often their advisor is instrumental in identifying the internship position, with a funding sponsor or research collaborator, be they in Boston or elsewhere in the United States. Internships can be informally arranged for several months at any time during the calendar year.

PhD students can also take advantage of the more formally arranged co-op program which entails up to 8 months of work experience preceded by several professional development courses to prepare students. The Cooperative Education Program , also known as a “co-op,” is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program students gain professional experience, employed in their field of interest as part of the academic curriculum. Northeastern has over 3,000 co-op employer partners. Additionally, students can participate in the university’s Experiential PhD program.

Academic Advising

The Academic Advisors in the Graduate Student Services office can help answer many of your questions and assist with various concerns regarding your program and student record. Use the link below to also determine which questions can be answered by your Faculty Program Advisors and OGS Advisors.

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Admissions & Aid

Ready to take the next step? Review degree requirements to see courses needed to complete this degree. Then, explore ways to fund your education. Finally, review admissions information to see our deadlines and gather the materials you need to Apply.

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Student News

Bodet receives 2024 outstanding phd student award in research.

Duschia Bodet, E’21, MS’21, PhD’25, electrical engineering, is the recipient of the 2024 Outstanding PhD Student Award in Research, which recognizes PhD students who have shown an impressive ability to conduct high-level research and make contributions to the scholarly literature in their field.

2024 U.S. National Defense Science and Engineering Graduate Research Fellowship

Andrew Ashdown, PhD’27, electrical engineering, was selected as one of the recipients of the U.S. Department of Defense National Defense Science and Engineering Graduate Research Fellowship. A highly competitive fellowship, it is awarded to promising U.S. scientists and engineers to encourage them to pursue doctoral degrees in designated research disciplines of military importance.

COE Research Expo Displays Promising Work of PhD Students

The College of Engineering held a research expo to highlight the work of PhD students. Participants presented their research to a panel of judges and gained critical presentation and communication skills. They also displayed their research during the poster showcase and students were recognized with awards.

Using Ultra-Efficient Ising Machines for Complex Problem Solving

Research on “parametric frequency divider based Ising machines” conducted by Nicolas Casilli, E’21, MS’21, PhD’26, electrical engineering, in Associate Professor Cristian Cassella’s lab, was accepted for publication in Physical Review Letters.

ECE PhD Student Guide - Elmore Family School of Electrical and Computer Engineering - Purdue University

ECE PhD Student Guide

This webpage is designed for current PhD students and contains links to important information you will refer to during your time as a Purdue student. Bookmark this page so you can easily find it later.

Course Registration

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PhD Curriculum Information

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Course Information

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PhD Exams and Thesis Information

• Preliminary examination
• PhD thesis and final examination
• Avoiding plagiarism
• Examination postings
• Graduate School Thesis and Dissertation Office 

Funding: TA & RA Positions

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Contact Elisheba Van Winkle , Graduate Programs Assistant, in the ECE Graduate Office with questions about course registration, courses, drops, CPT, OPT, and research registration.

• Email:  [email protected]
• Phone: (765) 496-6162

Contact Matt Golden , ECE Graduate Program Director, with other questions about the PhD program. 

• Email:  [email protected]
• Phone: (765) 494-3374

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PhD Thesis Proposal

Each student who successfully completes the PhD qualifying examination is required to write a PhD thesis proposal, and present and defend the proposal orally before a committee.

As indicated on the Schedule for Timely PhD Completion , ECE doctoral students are expected to achieve candidacy before the end of their fifteenth month of studies.

• May starters must complete the PhD thesis proposal by July of the following year.
• September starters must complete the PhD thesis proposal by November of the following year.
• January starts must complete the PhD thesis proposal by March of the following year.

Format and Content of the Proposal

Please review the following guidelines and suggestions for the format and content of the PhD thesis proposal. The PhD thesis proposal should contain two fundamental components:

• review of the “state of the art” in a reasonably focused contemporary area of electrical and computer engineering research;
• outline of known problems to be solved or original developments that might be anticipated, accompanied by a line of approach to these problems or developments.

The “state of the art” review must refer explicitly to the relevant literature, with all references listed at the end of the proposal. The list of references need not be long, but it should be carefully considered. The list and review should show clear evidence that the student has sufficient knowledge to continue immediately into doctoral level research that will potentially lead to new results, without needing to do further background preparation in the area.

The outline of problems or developments must show that the student can formulate a line of research, including initial methodologies to be used, which should lead to significant contributions and new knowledge.

It is neither necessary nor expected that the PhD thesis proposal contain new research results, though such would be welcome. It is only necessary to be convincing that the chosen proposed area and topic of research has a very good chance of leading to new results.

PhD Thesis Proposal Committee

The supervisor will select professors to serve on the PhD thesis proposal committee according to the following regulations:

• The committee must consist of at least three professors, including the supervisor.
• Ideally, all committee members will hold a graduate faculty membership in ECE.
• One of the committee members may hold a graduate faculty membership in a unit other than ECE, where appropriate for the thesis topic.

PhD Thesis Proposal Presentation

• The supervisor will schedule the presentation. All members of the PhD thesis proposal committee must attend the presentation.
• The written proposal must be submitted to the committee at least two weeks prior to the presentation.
• The student will make a presentation at the meeting and orally defend the PhD thesis proposal.
• If the committee does not consider the proposal to be satisfactory, the student must present and defend a new PhD thesis proposal within four months. If the new proposal is also unsatisfactory, the student’s registration in the PhD program will be terminated.
• The supervisor must submit the PhD Thesis Proposal Report to the ECE Graduate Office within one week of the presentation.
• Upon the successful completion of the PhD thesis proposal, the student will have achieved “PhD candidacy.” The date of PhD candidacy will be recorded on the student’s U of T transcript.

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Doctoral Program (PhD)

The PhD program provides an advanced level of study and training for the development of research-level scholars with expertise in human factors, operations research, or production systems.

Degree Specializations

Students graduate from the program having demonstrated, by means of their dissertations, their ability to make original and significant contributions to the fields of:

• Networking & Communications
• Power & Energy Systems
• Electronics & Photonics

Entrance Requirements

Students may be admitted to the PhD program if they hold a bachelor's or master's degree in engineering or any of the mathematical, physical, behavioral, or health sciences. Admission to the PhD program requires a demonstration of a high level of performance in previous academic studies and unique promise for making significant research contributions. Those students who are admitted directly to the PhD with a bachelor's degree will have the option to earn an MS degree during their course of study.

If you are currently enrolled as an MS student , you may apply to the PhD program after your second semester of full-time work.

The application to the PhD program by students currently enrolled in the MS program should be in the form of a letter, addressed to either the Director of Graduate Studies or the Department Chair, that requests consideration for admission to the PhD program. The letter should be submitted to the Departmental Graduate Secretary. A letter must also be submitted to the Department by an EE faculty member stating willingness to serve as your major advisor.

Credit Hour Requirements

Beyond the basic requirements, the courses taken in a PhD program are determined by the student's objectives, interests, background, and experience.

The equivalent of at least three years of full-time graduate study beyond the baccalaureate degree is required for completion of the PhD program. At least one year must be in full-time residence. In general, formal coursework (including that taken for the MSdegree) takes two or three years, while the dissertation effort demands, in general, at least one year of full-time concentration in residence. The PhD program requires a minimum of 72 credit hours of work.

The School of Engineering and Applied Sciences (SEAS) and the Department of Electrical Engineering impose limits on dissertation credits which are applicable toward graduate degree requirements. Additionally, a maximum of 30 credit hours from a Master's degree may be applied toward the 72 credit hour requirement for the PhD degree. Of these, no more than six credit hours may be derived from a master's thesis.

A minimum of 12 credit hours of dissertation research is required.  At most 30 hours of dissertation credit may be applied toward this minimum. The variable credit dissertation exists to allow students flexibility to take additional content courses. It does not impact the expectations for the scope and effort of the dissertation. Hours earned from supervised teaching and research, and the Departmental Seminar do not count toward the 72 hours needed.

Important milestones of the PhD program include : formation of the PhD committee, successful completion of the Written Qualifier and Dissertation Defense Examinations, research proposal defense, and dissertation defense.

The PhD is not a degree conferred on the basis of credit hours accumulated, tests passed, or time elapsed. Students in the program commit themselves to excellence in their fields, and to whatever amount of study and effort the attainment of excellence may require.

PhD Written Qualifier Examination

Admission to formal candidacy for the Ph.D. degree requires successful completion of the EE Ph.D. qualifying examination. The purpose of this examination is to determine whether the student has sufficient knowledge of the EE principles which are essential for conducting advanced research toward a PhD degree. 

The student presents a research topic selected by the Advisor   in front of their committee  . The committee is comprised of four (4) EE-faculty members, with the Advisor being one of them.  The student will orally demonstrate capabilities of conducting a literature review on the chosen topic, in-depth analysis of state-of-the-art research articles, reproduction of results from the chosen literature, and potential directions of innovation (if any).  During the presentation, committee members will ask questions regarding the research topic and fundamental knowledge.  A written report should be also provided to demonstrate the student’s writing skills.

The PhD Committee

Soon after a student passes the PhD qualifier exam s/he will form a committee of faculty members who will work with the student closely on dissertation research. By the time the student is ready for the PhD Advanced Examination (Prelim) s/he should have determined, at least in approximate terms, a research area, and should have identified a faculty advisor who is willing to supervise the work. This faculty advisor, sometimes called the "major professor" or "committee chair," will ordinarily head the committee that administers the advanced examination, defense of dissertation research proposal, and dissertation defense. The  major professor  must be a member of the Graduate Faculty. This committee must include at least three other members of the university faculty who hold the rank of Assistant Professor or higher in the University Faculty.  The major professor can help identify faculty members who share an interest in the topic, and who would be willing to review the dissertation and serve on the examining committee. 

A student can always elect to have more faculty members on their committee than specified. These additional committee members do not have to be members of the graduate faculty or even faculty at UB. The PhD committee will play a major role in setting requirements for the successful completion of your program. Be sure to follow their advice carefully. 

In addition, departmental policy allows the committee chair to elect to have an outside reader evaluate the PhD dissertation. The outside reader is not part of the committee.

Defense of Dissertation Proposal

When you have identified a research topic, thoroughly acquainted yourself with previous work in that area, and explored the topic well enough to have developed a credible research plan, write it all down in a clear and concise way, and you will have a dissertation proposal.

A copy of the proposal must be submitted to each member of your PhD committee, and defended two weeks later in an oral examination of approximately two hour duration. Failing the defense of proposal twice constitutes grounds for dismissal from the program. The research proposal defense must take place within one year of passing the PhD qualifier exam.

Schedule your research proposal defense after your major professor is satisfied that your topic is significant, your research plan is sound, and your qualifications are adequate to tackle the problem. Do not hesitate to discuss your proposal with the members of your committee in advance. Above all, do not postpone the defense until after you believe the work is substantially complete—if the committee discovers, for example, that your methodology is flawed, you may have wasted a great deal of time and effort.

You should not view the defense of research proposal as an adversarial process. While the committee must necessarily ask probing questions to determine the extent of your preparedness, the soundness of your plans, and the significance of your proposed work, the committee is also likely to provide insights and guidance that could greatly improve your dissertation.

Defense of Dissertation

Before the PhD is conferred, the student must successfully defend the dissertation in an oral examination administered by the committee.  Immediately following the dissertation defense, the M-Form should be completed by all members of the committee and the student.

Time Limit for Degree

The time limit for finishing all PhD degree requirements is seven years from the first registration date in the graduate program, excluding approved leaves of absence.

Petition for an extension of time limit requires departmental approval. The student must be currently making active progress toward the degree. The SEAS Divisional Committee will consider each petition and, in certain cases, it may set a deadline for completion of the program. The extension of time limit is normally granted for a period of one year or less. The Graduate School has the ultimate authority to grant a time limit extension.

Ph.D. Degrees

The Doctoral Degrees offered in the electrical and computer engineering department can enhance and strengthen a career in industry. The degree is designed for the recent graduate or professional who wishes to expand their engineering knowledge, with or without a thesis, depending on the degree. The degrees emphasize practical aspects of engineering, along with management and communication coursework, allowing graduates to rapidly advance in their career.

The degrees are a bridge to industry, designed to provide advanced learning and specialized training in the applied aspects of ECE technology.

Your success is at the forefront, with a variety of programs in-place to help you succeed as a researcher. These include panels and workshops covering research skills, Ph.D. careers in academia or industry, technical communication, and job hunting.

Purposeful Academics

Programs at NC State provide a variety of excellent education and research opportunities for outstanding students from around the world. With constant feedback from employers and alumni, our courses are carefully designed—including complex projects, demonstrable knowledge and real-world skills. Employers know our graduates are ready to be productive from their first day at work.

4-Year Funding Guarantee

Central to the mission of NC State ECE is the preparation of graduates to meet the country’s need for advanced technical knowledge, equipped with the skills and ingenuity to advance society. Our Ph.D. students are vital to this mission, and we are proud to guarantee a funded academic appointment for all Ph.D. students for their first four years.

Ph.D. in Electrical Engineering

With a robust Ph.D. program, our students are a critical part of a nationally recognized research program in power electronics, power systems, nanoelectronics, photonics, communications, controls and robotics, signal processing, and machine learning.

Students develop the analytical, technical and engineering design skills necessary to innovate and create electronic components, sensors and systems which are the foundation for mobile and deep space communications, optical networks, robotics, biomedical devices, renewable energy sources, power generation and distribution, vehicle electronics, imaging systems, and all consumer electronics.

Research Areas

• Bioelectronics Engineering
• Communications and Signal Processing
• Control, Robotics and Mechatronics
• Electronic Circuits and Systems
• Nanoelectronics and Photonics
• Power Electronics and Power Systems

Financial Aid/Funding

Students are funded through Fellowships, Teaching Assistant appointments and Research Assistant appointments. For more information visit the ECE Department Fellowships and Graduate School Financial Support webpages.

Requirements

Plan of Work: EE and CPE Requirements Minimum Overall and Major (ECE courses) GPA to Graduate: 3.0 Credit Hours Required to Graduate: 72 Maximum hours transferred from another institution: 0 Residency Requirement: 1 year

Ph.D. in Computer Engineering

Our Computer Engineering Ph.D. programs prepare students to succeed in a world where computers are now embedded in nearly everything ranging from smartphones and household appliances to autonomous vehicle systems and medical diagnostic systems. They now involve not only computation, but multi-modal sensing, signal processing, machine learning, communications and cyber-physical systems. Functions that were previously considered to be strictly software or strictly hardware can no longer be distinguished in that way.

Providing hands-on experience through projects within their coursework, and through collaborations with leading researchers, we provide an in-depth understanding of the concepts of digital and mixed-signal integrated circuit design; of computer architecture, networks, and system software; and of cutting-edge machine learning techniques.

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Graduate Plans of Work

The Plan of Work is a formal list of the courses a graduate student plans to enroll in to complete the academic requirements for a desired degree. The Plan of Work must be completed online in consultation with the Advisor and Advisory Committee. Doctoral students must submit their Plan of Work and their Advisory Committee prior to taking the Preliminary Oral Examination. Details of ECE degree requirements are given in the ECE Graduate Student Handbook .

Consult the Ph.D. Plan of Work Worksheet for more information.

Graduate Catalog

The Graduate Catalog contains Graduate School requirements and pertinent information for individual graduate programs, a current list of graduate faculty, and a selection of other resources for new students.

Course Details & Specialty Areas

Find out more about the various specialty areas of research and instruction and the relevant courses offered by the Department of Electrical and Computer Engineering.

Still have questions?

The staff of the Department of Electrical and Computer Engineering Graduate Office is available to answer any questions you may have.

Electrical Engineering Theses/Dissertations

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Mitchell School of Engineering

Doctor of Philosophy (Ph.D) in Computer and Electrical Systems Engineering with pass-through (en passant) Master of Science (M.S.) in Computer and Electrical Systems Engineering

Program description.

Many of the world’s grand engineering challenges can only be addressed through fundamental research that employs the design, analysis, and application of electrical and computer-based systems that spur discovery, invention and innovation. Grand challenges such as advancing the future of work through artificial intelligence and automation, designing intelligent and responsive urban infrastructure, advancing health informatics, securing cyberspace and harnessing the data revolution will require the tight integration of computer, data, network, electrical, and systems engineering. To address this need, Morgan has established the Ph.D. program in Computer and Electrical Systems Engineering, which emphasizes fundamental knowledge and research of solutions to complex software and electrical hardware application problems. Students engage in the design of integrated hardware, microelectronics and software solutions for computing, communications, cyber security, power, sensing and control applications. Furthermore, Morgan State University and its Clarence M. Mitchell, Jr. School of Engineering (SOE) aspires to be the first Historically Black College and University (HBCU), and one of only a few universities nationwide, to address the workforce development needs attributed to the Fourth Industrial Revolution, or Industry 4.0. Industry 4.0 incorporates Big Data and AI Analytics, Cloud Computing, Augmented Reality, Industry Internet of Things, Autonomous Robots, Electronic Systems, Control Electronics, Microelectronics and Cybersecurity.

The Ph.D. program in Computer and Electrical Systems Engineering targets highly motivated students who have already obtained a Bachelor’s or Master’s degree and desire to pursue career opportunities in academia, commercial industry, defense, government laboratories, federal agencies, consulting, military, or research.

Program Objectives

The Program mainly targets highly motivated students who have already obtained the Bachelor’s or Master’s degree and who also wish to pursue careers in research, university teaching, consulting or management positions to name a few.

General Requirements

Students enrolled in the Program will be required to satisfy the following requirements: 

• Form a doctoral advisory committee by the end of the first year after admission, comprising of four members, among whom at least three of them should be tenured or tenure-track faculty members. The chair of the committee must be a member of the graduate faculty and the Electrical & Computer Engineering (ECE) department. A minimum of two ECE faculty must serve on the committee. A minimum of one committee member outside the home department can serve on the doctoral advisory committee. The students form advisory committees no later than the end of the first year. The committee approves the student's program of study and guides the student's research activities.
• Complete a minimum of 36 graduate credit hours (including 9 hours of dissertation-related research) of study beyond the Master's degree or complete a minimum of 60 graduate credit hours of study beyond the bachelor's degree (with a maximum of 33 hours of dissertation-related research).
• Pass a written qualifying exam within the first two years of study (one attempt within the first year), doctoral candidacy examinations (no sooner than a year after passing the qualifying exam), administered by the dissertation committee, on the Foundational course subjects.
• Develop and defend a dissertation proposal within the first four years of admission for students starting with Bachelor’s degree, and the first two years of admission for students entering with Master’s degree.
• Complete and successfully defend a dissertation based on timely and original research in a relevant area of Electrical Engineering within the seven years of enrollment.
• The dissertation committee chair must determine the original contribution of the dissertation work.

The qualifying exam is at the level of advanced undergraduate courses and introductory graduate-level courses. To maintain good academic standing and remain in the Program, the student must maintain a cumulative GPA of 3.0. Failure to meet these requirements will lead to academic probation for one academic year.

The Program welcomes exceptional students with at least a 3.0 cumulative GPA (on a scale of 4.0) for all undergraduate and graduate work completed. Other requirements include a resume or curriculum vitae documenting current and previous professional activities, achievements, planned career goals, a statement of research interest, and three letters of recommendation from professors or supervisors familiar with the applicant's academic background. All application materials must be sent directly to the School of Graduate Studies through the application system for preliminary screening, it is then reviewed by the department committee Eligibility to be a student within the School of Graduate Studies is a prerequisite for admission into the Program.

NOTE: Meeting the minimum eligibility requirements and submitting all the required documents does not guarantee that an offer of admission will be made to the applicant.  The decision of the Program Admissions Committee involves a review and analysis of all the elements of the application as well as the availability of positions in the program.  The committee then recommends to the Dean of the School of Graduate Studies that an offer admission should be made based on that review.

Students achieve candidacy by successfully passing the Qualifying examination. Prior to achieving Candidacy, the student will enroll in EEGR 993 (Pre-Candidacy) if all required coursework has been completed. Once a student achieves candidacy, the student will be allowed to enroll in the Dissertation Research 1 – V courses (EEGR 905 – 925). After these required courses are completed, the student will continuously register in Fall and Spring semesters for EEGR 997 (Dissertation Guidance) until the Dissertation is completed and submitted to the School of Graduate Studies for review. The EEGR 997 course registration maintains the student status as a matriculated, full-time student (student is registered for 3 credit hours and the system reports a full-time 9 credit hour load). After the Intent to Defend the Dissertation form has been received by the School of Graduate Studies, this course registration will be changed to EEGR 998 (Dissertation Defense) for the given semester and count for 3 credit hours of curricular coursework (EEGR 998 will also count as 9 credits of load). The only eligible grade for EEGR 997 (Dissertation Guidance) is the grade of “S” and the only acceptable grade for EEGR 998 (Dissertation Defense) is “P/F” (Pass/Fail).

Program Course Requirements

The required minimum coursework for the Ph.D. in Electrical Engineering is 60 graduate credits beyond the Bachelor's degree and 36 graduate credits beyond the Master's degree. Up to four courses (not to exceed 12 credits) from other accredited institutions may be accepted for transfer towards the Ph.D. degree, assuming that students do not use transfer courses to satisfy the academic requirements of the former program. Transfer courses at a grade of B or above are reviewed and approved by the corresponding department as well as the School of Graduate Studies. Students can take up two foundation courses from outside of the department.

Pursuing a Ph.D. from the Bachelor’s Degree (60 Credits):

Foundational elective courses (24 credit hours).

                EEGR XXX:  Foundation Elective Course                  3

                EEGR XXX:  Foundation Elective Course                  3

  EEGR XXX:  Foundation Elective Course                  3

Research Courses (15 credit hours)

EEGR 805: Pre-Candidacy Research I                        3

EEGR 810: Pre-Candidacy Research II                       3

EEGR 815: Pre-Candidacy Research III                      3

EEGR 820: Pre-Candidacy Research IV                      3

EEGR 825: Pre-Candidacy Research V                       3

Dissertation Research (15 credit hours)

EEGR 905: Dissertation Research I                             3

EEGR 910: Dissertation Research II                            3

EEGR 915: Dissertation Research III                           3

EEGR 920: Dissertation Research IV                           3

EEGR 925: Dissertation Research V                            3

Thesis/Dissertation Seminar (3 credit hours)

                EEGR 787:  Graduate Seminar                                     3

Dissertation Defense EEGR 997/998 (3 credit hours)

                EEGR 997/998:  Dissertation Guidance/Defense 3*

*Note: Upon achieving Doctoral Candidacy, the student will continuously register in Fall and Spring terms for EEGR 997 (Dissertation Guidance) until the Dissertation is completed and submitted to the School of Graduate Studies for review.  The course is used only when the curriculum has been completed, candidacy has been achieved, and the student is completing the research and writing of the Dissertation.  The EEGR 997 course registration maintains the student status as a matriculated, full-time student (student is registered for 3 credit hours and the system reports a full-time 9 credit hour load). 

 After the Intent to Defend the Dissertation form has been received by the School of Graduate Studies, this course registration will be changed to EEGR 998 (Dissertation Defense) for the given semester and count for 3 credit hours of curricular coursework (EEGR 998 will also count as 9 credits of load).  EEGR 997 will not count toward curricular credits.  Other courses cannot be substituted for EEGR 997 (Dissertation Guidance).  The only eligible grade for EEGR 997 (Dissertation Guidance) is the grade of “S” and the only acceptable grade for EEGR 998 (Dissertation Defense) is “P/F” (Pass/Fail).

  Pursuing a Ph.D. from the Master’s Degree (36 Credits):

Foundational elective or research courses (15 credit hours).

CHOOSE FROM:

Foundational Elective Courses

                EEGR XXX:  Foundation Elective Course                  3

Research Courses

EEGR 815: Pre-Candidacy Research III                      3

EEGR 820: Pre-Candidacy Research IV                     3

EEGR 825: Pre-Candidacy Research V                       3 

EEGR 905: Dissertation Research I                             3

EEGR 910: Dissertation Research II                            3

EEGR 920: Dissertation Research IV                            3

EEGR 925: Dissertation Research V                             3 

                EEGR 787:  Graduate Seminar                                   3

*Note: Upon achieving Doctoral Candidacy, the student will continuously register in Fall and Spring terms for EEGR 997 (Dissertation Guidance) until the Dissertation is completed and submitted to the School of Graduate Studies for review.  The course is used only when the curriculum has been completed, candidacy has been achieved, and the student is completing the research and writing of the Dissertation.  The EEGR 997 course registration maintains the student status as a matriculated, full-time student (student is registered for 3 credit hours and the system reports a full-time 9 credit hour load).  After the Intent to Defend the Dissertation form has been received by the School of Graduate Studies, this course registration will be changed to EEGR 998 (Dissertation Defense) for the given semester and count for 3 credit hours of curricular coursework (EEGR 998 will also count as 9 credits of load).  EEGR 997 will not count toward curricular credits.  Other courses cannot be substituted for EEGR 997 (Dissertation Guidance).  The only eligible grade for EEGR 997 (Dissertation Guidance) is the grade of “S” and the only acceptable grade for EEGR 998 (Dissertation Defense) is “P/F” (Pass/Fail).

Contact Information

Mitchell School of Engineering 5200 Perring Parkway Baltimore, MD 21251 P: 443-885-3231

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Doctoral Program Overview

The ECE Department offers the following degree options:

• Ph.D. in Engineering with concentration in Electrical Engineering
• Ph.D. in Engineering with concentration in Computer Engineering
• Ph.D. in Optical Science and Engineering

The Ph.D. program requires a minimum of 48 credit hours of coursework (excluding the 18 hours of dissertation credit hours and 2 hours of ECE 590) beyond the bachelor’s degree, which may include a maximum of 6 hours of master’s thesis. A minimum of 24 credit hours must be completed at the University of New Mexico, of which 18 hours must be at the 500 level or above.

The PhD degree requires at least 12 hours of ECE core courses , among which 9 hours are required by the selected emphasis area as 3 major core courses, and the other 3 hours are required as a minor core course to be chosen from any ECE emphasis outside the major emphasis. Note that in addition to the three major core courses some emphases may require another course. The remaining courses are free electives.

As a potential candidate for the Ph.D. program, each student must pass the Ph.D. qualifying examination to demonstrate satisfactory academic preparation and scholastic capabilities.

International applicants are automatically considered for the  International Amigo Scholarship . Those selected are awarded a non-resident tuition waiver (valued at more than $11,000 per year). Amigo Scholarships are limited in number, so early applicants have a greater chance of receiving this scholarship.

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Mailing Address: Department of Electrical & Computer Engineering MSC01 1100 1 University of New Mexico Albuquerque, NM 87131-0001

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• 2024 Dean's Awards Dinner

College of Engineering Recognizes Top Students at 2024 Dean’s Awards Dinner

The College of Engineering recognized outstanding seniors and graduate students from the Class of 2024 at the 49th annual Dean’s Awards Dinner. Held Thursday, April 11, at Overbrook Golf Club in Villanova, Pa., the event capped off an academic year in which about 260 Engineering students will receive their bachelor’s degrees, 133 will receive their master’s degrees and 15 will receive their doctoral degrees.

Learn more about each of the award winners in the  digital Dean’s Awards Dinner supplemental program .

Grand Challenges Scholars The National Academy of Engineering Grand Challenges Scholars Program (GCSP) is an engineering education supplement that broadens the reach of undergraduate study by preparing students to think in international terms; by developing the perspectives and skills needed to find solutions to real and urgent problems; and by offering a clear view to future jobs that matter and the opportunities in engineering. The Grand Challenges Scholar for the Class of 2024 was  Emma Olson ’24 CE .

Engineering Midshipman Award New for 2024, this recognition is awarded to a Midshipman 1st Class enrolled in the College of Engineering. The awardee is recognized for exemplary achievement in three specific areas: outstanding academic achievement indicated by a GPA of 3.75 or higher; leadership as demonstrated by participation in leadership and/or management positions in Villanova’s NROTC unit; and service to the College of Engineering. The inaugural recipient of the Engineering Midshipman Award was Jonathan Forbes ’24 ChE .

Engineering Entrepreneurship Student Achievement Award The Engineering Entrepreneurship Student Achievement Award is presented to a graduating Engineering student with a minor in Engineering Entrepreneurship who has achieved distinction through demonstration of exceptional entrepreneurial pursuit both inside and outside the classroom. The recipient of the 2024 Engineering Entrepreneurship Student Achievement Award was  James McCullough ’24 ME .

Humanitarian Engineering Student Award This award is presented to a graduating engineering student who exemplifies a commitment to serving communities in need through applied engineering, technical support on sustainable development, and ethical engagement in a global context. The recipient of the 2024 Humanitarian Engineering Student Award was  Jonathan Auman ’24 MSSE .

Academic Achievement The Dean’s Award for Academic Achievement was established to recognize outstanding academic performance by a graduating senior. The Dean presents this award to students in the top 10% of their major at the end of the fall term. The recipients for 2024 were:

Michael Blandino ’24 ME Joshua Busch ’24 CpE Andrea Cabot Sorrentini ’24 ME Joseph Carillo ’24 ME Michael Castelli ’24 EE Ciara Coulter ’24 ChE Jonathon Cowger ’24 CpE Joseph DeMarco ’24 CpE Matthew Devitt ’24 ChE Ryan Forte ’24 ChE Stepan Gorelenkov ’24 EE Jacob Janavel ’24 EE Luke Lagalante ’24 ChE

Broderick Lane ’24 ChE Andrew Lin ’24 ME Ethan Maharas ’24 CE Emma Olson ’24 CE Emily Orr ’24 ME Ryan Pecharo ’24 ChE Kendra Power ’24 CE Jake Prochniak ’24 ME Emma Robert ’24 CE Griffin Schenker ’24 CpE Sara Walsh ’24 CE Eric Yablonski ’24 ME Lucas Yannul ’24 CpE

Meritorious Service The Dean’s Award for Meritorious Service was established to recognize exceptional service to the College of Engineering as reflected in sustained extracurricular or service activities. Selected students demonstrated noteworthy leadership in one or more activities. This year’s recipients were:

Andrea Cabot Sorrentini ’24 ME Mary Dam ’24 ChE Brianna Davis ’24 CE Jenna Fazio ’24 CpE Ryan Forte ’24 ChE Karl David Fotso ’24 ChE Ryan Hodnett ’24 ME Andrew Kline ’24 CE

Belen Labarta Galan ’24 CE Emma Olson ’24 CE Emma Robert ’24 CE Kaya Robinson ’24 ME Justin Siegel ’24 ME Will Stoval ’24 ME Jordin Thomas-Lamothe ’24 CE

Department Medallions The criteria used in determining the winners of the department medallions include academic achievement as indicated by the cumulative and technical grade point averages, as well as the quality and consistency of the co-curricular contributions that the student has made to the College and the department. This year’s recipients were:

Robert E. White Chemical Engineering Award:  Ryan Forte ’24 ChE Civil and Environmental Engineering Outstanding Student Award:  Emma Robert ’24 CE Computer Engineering Outstanding Student Award:  Joshua Busch ’24 CpE Electrical Engineering Outstanding Student Award:  Stepan Gorelenkov ’24 EE Mechanical Engineering Outstanding Student Award:  Michael Blandino ’24 ME

Departmental Master of Science Student Awards These department-level awards are presented in recognition of outstanding graduate research, leadership, and service to the College. The honorees for 2024 were:

Simon Brooks ’21 ChE, ’24 MSSE Luke Molnar ’24 MSCE Catherine Sharo ’23 ChE, ’24 MSBChE Grace Sutoris ’22 ME, ’24 MSME

College of Engineering Outstanding Master of Science Student Award The College of Engineering Outstanding Master of Science Student Award is presented to a graduating master’s degree student who has achieved distinction through outstanding graduate academics and research, and through exemplary leadership and service to Villanova and the College of Engineering. The 2024 recipient was  Nayeon Kwak ’22 CE, ’24 MSCE , whose master’s thesis was titled “Greening the Gray: Assessing Green Stormwater Infrastructure for Hydrologic Impact.” She was advised by Dr. Kelly Good and Dr. Virginia Smith.

College of Engineering Outstanding Doctoral Student Award The College of Engineering Outstanding Doctoral Student Award is presented to a graduating PhD student who has achieved distinction through outstanding scholarship in the doctoral program and through exemplary leadership and service to Villanova University and the College of Engineering. The recipient of this year’s Outstanding Doctoral Student Award was  Bchara Sidnawi ’23 PhD , whose dissertation was titled “Physics-Based Mathematical Modeling in the Cardiovascular System: From Arterial Flow Characterization to a Novel Theory for Flow-Mediated Dilation.” He was advised by Dr. Qianhong Wu.

Robert D. Lynch Award The Robert D. Lynch Award was instituted in 2003 in honor of the Dean of the College of Engineering from 1975 to 2000. Sponsored by the Villanova University Engineering Alumni Society, this prestigious award acknowledges a graduating senior for their outstanding academic achievements and exemplary dedication to serving the community, thus representing the highest values of Villanova University and the College of Engineering. The Robert D. Lynch Award recipient for the Class of 2024 was  Kaya Robinson ’24 ME .

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