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Computer Science Is for Everyone (PowerPoint)

Published on 10/24/2018

This customizable PowerPoint presentation is an excellent resource for schools who wish to educate their community about computer science, to teach about the importance of diversity in CS education and to offer concrete strategies for making curricula and classrooms more inclusive to help close the gender gap in STEM and CS.

Download the PowerPoint slides below.

Computing Science Is for Everyone >>  | .pptx (8.7 MB)

Click  here  to view the accompanying Computing Science Is for Everyone toolkit PDF.

Microsoft and Microsoft Philanthropies TEALS (Technology Education and Literacy in Schools) partnered with the National Center for Women & Information Technology (NCWIT) to develop these tools to help educators convey the importance of computer science, and ensure that recruitment and retention strategies, curricula, and the classroom environment are welcoming for all students.

Computer Science Presentation

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Presentation template for computer science classes. Suitable for students to create reports. It will also be useful for teachers when preparing lecture classes. The template for computer science presentations can also be used at events not related to the school. For example, in the system of additional education in areas related to computer science.

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Computer science is an important subject due to its influencing powers. In today’s world, computer science has made businesses and communication easier. This subject offers many problem-solving techniques for everyday problems. Moreover, it automates hectic tasks to enhance efficiency. Thus, you should prepare computer science presentations highlighting its impacts.

Through this article, you can discover many computer science topics for presentation . With such topics, you can raise awareness about the powerful abilities of CS. Hence, read this article carefully to choose the best computer science PPT topic .

In this article

• Various Computer Science Topics for Presentation 2023
• How to Make Your Computer Science Presentation Engaging
• Getting Started a Good Computer Science Presentation with Presentory

Part 1. Various Computer Science Topics for Presentation 2023

If you are searching for computer science topics for presentations , this section can help you. You can select interesting topics on a computer science subject through this part.

1. Fundamentals of Computer Science

If the audience is new to computer science, this presentation topic can help. It’s a vast topic as it will cover all the major elements of computer science. You can discuss the role of algorithms in solving particular tasks. Afterward, you can explain how data structures organize the datasets in a computer. In this way, you can tell the audience about the core principles and building blocks of CS.

Comprehending programming languages is also essential for a CS student. You can discuss the basics of decoding bugs through any famous language. Furthermore, sheds light on the role of operating systems in a computer. By doing so, you can cover all the essential elements of computer science.

2. Data and Information Handling

Data and information handling is one of the critical PPT presentation topics for computer science . In this topic, inform the audience about how formed decisions are made from data processing. You can provide a step-by-step guide to data handling in detail. It starts with data collection from sources and proceeds with data storage. Afterward, the data gets transformed into another format for analysis.

Furthermore, you can also talk about data ethics while handling sensitive information. Here, highlight consent and the importance of transparency. You can also discuss the role of data handling in many fields of professions and businesses.

3. Software Development Methodologies

The creation of software apps is also an intriguing computer science topic. In this topic, you can discuss the framework and methodologies used to produce software apps. You can talk about the waterfall model in which the development stages of a software app are recorded. Afterward, you can briefly explain some common software methodologies.

For instance, discuss the Agile, Kanban, Scrum, and XP methodologies to offer valuable information. You can give examples of hybrid models in this computer science PPT topic. Such models use hybrid technologies to meet the particular needs of an organization. You can also guide your viewers on choosing an effective software methodology easily.

4. Artificial Intelligence and Machine Learning

AI and machine learning technologies are shaping our digital worlds. For this topic, you can discuss the main types of AI technologies. Moreover, highlights the different approaches to machine learning. Collectively, these two technologies use human intelligence for proper reasoning and problem-solving. Also, they are creating powerful impacts on innovation, creativity, and businesses.

Furthermore, you can also explain how AI and ML are transforming our current industries. You can emphasize the usage of AI and ML in healthcare, education, training, and institutes. Also, you can come up with some well-researched predictions of AI to intrigue the audience.

5. Cybersecurity and Networking

Cybersecurity and networking technologies have a great scope in computer science. In this particular topic, discuss the importance of cybersecurity in organizations, companies, and government institutes. You can also highlight the key cybersecurity threats, such as malware. You can also include case studies of breached cybersecurity in tech giant companies.

For networking, you can explain the network components and protocols briefly. Moreover, highlight the connection between strong networking and cybersecurity. You can also guide the audience about reliable measures to ensure cybersecurity.

6. Operating Systems and Computer Architecture

Operating systems are the backbone of processing information in a computer. In this PPT presentation topic for computer science , you can explain the operating systems in detail. You can explain the basic functions of OS, such as process management, user interface, device management, etc. Afterward, you can discuss the major types of OS in a computer. Here, you can also talk about real-time OS and its significance.

Furthermore, you can guide the audience about the basics of computer architecture. First, you need to explain about software and hardware in a clear way. Afterward, you can discuss the roles of the CPU, main memory, registers, cache memory, etc. Moreover, you can also explain how operating systems interact with hardware to process the data.

7. Human-Computer Interaction (HCI)

HCI is a multidisciplinary field and holds great importance. This topic combines the role of computer science, cognitive psychology, and social sciences. Here, you can discuss how human-computer interaction can affect usability for people. You can enlist some of the main benefits of HCI in our modern world. For example, its influence on crafting a user interface that matches people's interests.

Furthermore, you can discuss HCI technologies and current trends—for instance, the usage of HCI in voice interaction, AR, VR, and NLP. To balance your presentation, you can also point out the challenges in HCI, like ethical concerns and data security.

8. Cloud Computing and Distributed Systems

Cloud computing has several advantages in accessing stored information. In your presentation, you can highlight its key features like rapid elasticity and easy network access. Make sure to discuss the major cloud computing models in detail. For example, infrastructure as a service (IaaS), software as a service (SaaS), and platform as a service (PaaS).

Similarly, you can talk about distributed systems and their goals in achieving scalability. Distributed systems also help in data consistency and replication. Moreover, you can also draw comparisons between cloud computing and distributed systems. This will help the audience to differentiate between these two concepts.

9. The Future of Computer Science

The future of computer science will emerge with new trends and innovations. In the future, we can expect AI and ML technologies will get more advanced. Moreover, the use of blockchain technology will be surged. With more advancements, the security threats in decentralization will be reduced. Furthermore, cybersecurity will get more secure and evolve. Hence, data privacy will be prioritized in the future.

Also, the advancements in CS will help in tackling climate change. The role of data analytics and simulations would be able to address global challenges easily. You can also offer more well-researched predictions regarding CS to intrigue the audience.

Part 2. How to Make Your Computer Science Presentation Engaging

Do you want to make your technical topics for presentation in computer science captivating? Here are some valuable tips that can help you in this regard:

• Compelling Hook: To capture the interest of your audience, you should begin with an engaging start. You can ask an intriguing question to the audience to gain their attention. Also, you can use a quotation or real-life incident to seek their attention. Moreover, use interactive quizzes to hook your audience thoroughly.
• Clear Structure and Flow: Your presentation should have a well-structured flow. Along with a proper introduction, you should explain the main body parts effectively. Ensure not to add overwhelming text on PPT slides. To conclude, provide a sensible call to action to motivate the viewers.
• Audience engagement: Engaging the audience is very important in a presentation. To do so, you can add animated characters and content to excite the viewers. Furthermore, add metaphors and analogies to make the content understandable. You can also share your personal experiences and incidents to engage the viewers.
• Data Visualization: Adding visuals is another trick to make a presentation attractive. Thus, ensure the addition of high-quality images and videos in the presentation. They should be relevant and incorporate the main message. Furthermore, you can draw graphs, charts, and tables to display numerical data. It will make your presentation less textual and tedious.
• Effective Delivery: Your communication style during the presentation is extremely significant. To impose a good impression, make eye contact with all your viewers. Moreover, include hand gestures to make the speaking style natural. Make sure to opt for a moderate speaking speed for the audience. Furthermore, try to pronounce words correctly to add a professional touch.

Part 3. Getting Started a Good Computer Science Presentation with Presentory

Are you ready to make flawless computer science presentations? Wondershare Presentory is the most recommended AI tool to craft presentations in the desired manner. It contains basic and advanced tools to tailor to the users’ needs. You can upload PPT slides and custom media files in its clean interface. Moreover, you can replace backgrounds in your presentations without affecting their original quality.

Presentory also helps in adding scenes and text graphics. You can manage the placement of text in your presentation through this tool. Moreover, you can insert the presentation notes on a teleprompter for further assistance. With its “Property” feature, you can manage font, opacity, size, and text color. Thus, you must explore the Presentory to make astonishing computer science presentations.

Main Features

• AI Generation: With the AI feature, you can generate automated presentations on this tool. It only requires the topic for your presentation. Afterward, the tool will prepare slides with relevant content automatically.
• Built-in Templates: Are you a beginner in creating presentations? No worries, as this tool includes many vibrant templates. You don’t need to create your presentation from scratch using the templates. All templates are available for different use cases.
• High-Quality Live Streaming: Live streaming of presentations is now possible with Presentory. This tool lets you live-stream your presentations on all platforms. Moreover, record the presentations in your preferred settings easily.
• Efficient Cloud Services: Presentory provides many cloud services for its users. With this tool, you can get enough file size sharing and storage limits. Moreover, it offers a password authentication feature for data protection.

How to Craft Computer Science Presentations with Presentory

This section will provide complete instructions to generate the best topics for presentation in computer science with Presentory. Thus, continue reading this section:

step1 Select the AI Presentation Option

Begin by launching Presentory on your PC and selecting the “Create with AI” feature. Now, enter the desired computer science presentation topic in the given box. The tool will quickly begin generating the relevant content for you.

step2 Specify the Presentation Content and Themen

If you find the presentation content desirable, click the “Continue” button. Afterward, select a theme style from the given options and press “Continue” to proceed.

step3 Add Multiple Customizations

After some seconds, the tool will evenly distribute the content on all slides. Now, you can add custom changes of your choice. You can change the font, style, and size of text. Moreover, you can add backgrounds, images, videos, and web stickers. Once done with all the edits, record or livestream the presentation with the customized options.

Computer science has a great scope in this digital age. Thus, you should create computer science presentations to educate the audience. By reading this guide, you came across many computer science topics for presentation . For more help, you can use Presentory to create AI-powered presentations in your preferred way. It’s an advanced tool with all the powerful features to generate a compelling presentation.

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Teach GCSE Computer Science – PowerPoint Presentations

PowerPoint Presentations are a fantastic lesson resource. Their dynamic nature makes it easy to create immersive teaching materials for GCSE Computer Science students. Here are some of the reasons why they are useful and how best to make them your go-to tool.

Although innovative, today PowerPoint Presentations are a fairly common way of teaching. Pedagogical experts have determined that PowerPoint Presentations are more likely to engage students than typical lessons without them and surveys have found that students feel like lessons with PowerPoints are more interesting than those without. Often this is because well-structured PowerPoints allow for small breaks in teaching by throwing in fun facts and even jokes in between large chunks of important information. Thus the learning continues without the students feeling bored or even overwhelmed by the volume of information. This makes it significantly more likely that the students will retain the information.

By far one of the biggest advantages of PowerPoint Presentations is that they help capture the students’ attention in class, and not only capture, but keep that attention. By making complex and even dry chunks of information interesting, interactive and attention-grabbing, presentations make revision and learning into a fun activity instead of a chore. Good interactive presentations also help foster positive relationships between teachers and students.

PowerPoint Presentations transform the learning process from just reading or listening to not only both of those activities but also seeing. Much like other methods they can be a powerful visualization tool for learning. Elements that can exist in PowerPoint Presentation include not only just text blocks but charts, tables, graphs, images, video and audio files. This gives the teacher an incredibly powerful toolbox for relaying important learning materials to the students. Truly memorable imagery and/or charts and graphs will make it easier for students to take in information as well as to recall it come exam time. Therefore PowerPoint Presentations are greatly useful for not only lessons with new content but also revision classes.

They can help involve students in the learning process as interactive tools. For example, they might pose a student with a problem to solve alone or together with the entire class. On the other hand, they can also help teach practical components of the GCSE Computer Science course as students can see what is happening on the screen and learn to employ the necessary tools on their own devices.

Another way in which PowerPoint Presentations are helpful is in condensing large chunks of information into the essentials. If the teacher is giving a long speech full of important facts and figures, students can listen along but also have a summary on the board to fall back on for their notes.

Moreover, PowerPoint Presentations are also useful because they are easily customisable to the needs of the subject. Slides can very easily be designed to match the requirements of revision and teaching material. Pictures can be easily attached to PowerPoint Presentations or linked to them. These pictures can be proprietary or be taken off the internet. Many teaching guidelines suggest that pictures be carefully chosen and placed in presentations to capture maximum attention and have the best effect as a learning aid. Meanwhile, videos can be embedded into PowerPoint Presentations or added to them as links. Usually, students report that informative videos feel to them like a ‘break’ in the teaching lesson. This is especially true if the video is interesting and engaging like tutorial videos can be in GCSE Computer Science.

Thanks to how advanced PowerPoint Presentation creating tools are, you can now both insert images of charts, tables, and graphs and actually create them in the presentation itself. Many software tools, including Microsoft, allow for this which means that if you are familiar with the software you can create the most original and interesting content efficiently.

When using PowerPoint Presentations, teachers can limit themselves in terms of time, ensuring to balance out the presentation between all the different topics that need to be covered. When there are large chunks of content to teach it is often difficult to organise that information and break it down into smaller clusters. PowerPoint Presentations not only help break down larger chunks of information into smaller ones, but they also help with organizing that information and relaying it in the right sequence. Balancing between lines of text and visual aids will help greatly with maintaining the students’ attention and making the presentation easily digestible.

However, creating PowerPoint Presentations is not always a walk in the park – if you are not familiar with the software or the content, it can take a long time to create and integrate visuals and information into lesson plans. These cumbersome tasks often put teachers off this tool. Not to mention that there are certainly ‘dos’ and ‘don’ts’ of PowerPoints! Oversaturated presentations can have the very opposite of the intended effect on students – confusing as opposed to enlightening them. After all, it’s much easier to memorise a chart with five of the keywords than one with 20 very specific terms.

This is where we come in. At GCSE Computer Science we offer detailed lesson plans in PowerPoint format in order to help you teach the key concepts of computer science to your class. Take a peek to see what’s in store for you!

Computer Science Student Presentations

2023-2024 graduate student presentations.

Zhifan Lu: PhD Qualifying Exam Presentation Monday, April 29, 2024 at 3:30 PM via Zoom Title: I Can Still See You: Layer 2 Correlation Attack in the LTE Tor Network

Tanmoy Sen: PhD Proposal Presentation   Monday, April 22, 2024 at 10:00 AM in Rice 103 & Zoom  Title: Enhancing Performance of Deep Learning Training and Inference on Resource-constrained Edge Devices 

Md Aashikur Rahman Azim: PhD Defense Presentation   Thursday, April 18, 2024 at 11:00 AM in Rice 108 & Zoom  Title: Toward Designing Usable Body-Based Gesture Interactions

Zhendong Chu: PhD Defense Presentation   Wednesday, April 17, 2024 at 11:00 AM in Rice 109 & Zoom  Title: Developing Adaptive Information Systems: Learning and Evolving Human Feedback 

Nabeel Nasir: PhD Defense Presentation   Wednesday, April 17, 2024 at 10:00 AM in The Rotunda Dome Room & Zoom  Title: Untangling the Cloud from Edge Computing for the Internet of Things

Aidan San: PhD Qualifying Exam Presentation   Friday, April 12, 2024 at 11:00 AM in Rice 108 & Zoom  Title: Evaluating Large Language Model Consistency Under Language Style Variation 

Jiayi Chen: PhD Defense Presentation   Wednesday, April 10, 2024 at 8:00 AM via Zoom  Title: A Journey of Personalization-aware Collaborative Multimodal Machine Learning 

Wanyu Du: PhD Defense Presentation   Wednesday, April 3, 2024 at 3:00 PM in Rice 103 & Zoom  Title: Towards Controllable and Data-Efficient Natural Language Generation  

Zhe Wang: PhD Defense Presentation   Tuesday, April 2, 2024 at 12:00 PM in Rice 108 & Zoom  Title: Toward Out-of-Distribution Generalization of Deep Learning Models 

Ingy El Sayed-Aly: PhD Defense Presentation   Tuesday, April 2, 2024 at 9:00 AM via Zoom  Title: Safe Sequential Decision Making in Uncertain Environments 

Dong Xu: PhD Defense Presentation   Friday, March 29, 2024 at 11:00 AM in Rice 108 & Zoom  Title: Understanding and Enhancing Neural Network Verification Performance 

Galen Harrison: PhD Qualifying Exam Presentation   Monday, March 25, 2024 at 4:00 PM via Zoom  Title: Private Privacy Evaluations: Synthetic Data for PETs Red-teaming 

Fateme Nikseresht: PhD Proposal Presentation   Friday, March 22, 2024 at 3:00 PM in Rice 128  Title: Advancing Sensing Capabilities by Employing Ubiquitous Radio Frequency Signals 

Matthew Landers: PhD Qualifying Exam Presentation   Friday, March 22, 2024 at 9:30AM in Rice 108  Title:  Parameter Transfer forSingle-Task Deep Reinforcement Learning 

Josephine Lamp: PhD Defense Presentation   Monday, March 18, 2024 at 10:00 AM in Rice 108 & Zoom  Title: Trustworthy Clinical Decision Support Systems for Medical Trajectories 

Guangtao Zheng: PhD Proposal Presentation   Monday, March 4, 2024 at 1:00 PM in Rice 414 & Zoom  Title: Building Robust Machine Learning Models Against Spurious Bias 

Previous years' presentation listings

2022-2023 student presentations.

JING MA: PHD DEFENSE PRESENTATION Thursday, May 18, 2023 at 11:30AM in Rice 504 & Zoom Title: When Causal Inference Meets Graph Machine Learning: Unleashing the Potential of Mutual Benefit

NUSRAT MOZUMDER: PHD QUALIFYING EXAM PRESENTATION Thursday, May 11, 2023 at 11:00 AM in Rice 109 & Zoom Title: Identification of Relevant Latent Subspace for Efficient Neural Network Validation

ALI AHAD: PHD QUALIFYING EXAM PRESENTATION Monday, May 8, 2023 at 1:00 PM via Zoom Title: Hardening Data Processing Software via Framework-based Partitioning and Isolation

INGY ELSAYED-ALY: PHD PROPOSAL PRESENTATION Thursday, May 4, 2023 at 9:00 AM via Zoom Title: Safe Sequential Decision Making in Uncertain Environments

SANCHIT SINHA: PHD QUALIFYING EXAM PRESENTATION Thursday, April 20, 2023 at 3:45 PM in Rice 504 & Zoom Title: Improving Global Interpretability of DNNs using Generalizable Concept Learning

JOSEPHINE LAMP: PHD PROPOSAL PRESENTATION Thursday, April 20, 2023 at 11:00 AM in Rice 109 & Zoom Title: Trustworthy Clinical Decision Support Systems for Medical Trajectories

JOSEPH SPAETH: MS THESIS DEFENSE PRESENTATION Wednesday, April 19, 2023 at 2:30 PM in Rice 109 & Zoom Title: Improving Digital Object Alignment and Real-Time Visualization Via Real-Life Object Tracking

ASHLEY GAO: PHD DEFENSE PRESENTATION Wednesday, April 19, 2023 at 9:00 AM in Link Lab (Olsson) 217 Title: Addressing Realisms Faced by Deep Learning Models in Cyber Physical Systems

BORA LEE: MS THESIS DEFENSE PRESENTATION Friday, April 14, 2023 at 3:00 PM in Link Lab (Olsson) 211 Title: Towards Program Transformation Assisted Static Analysis

CHRISTOPHER MORSE: MS THESIS DEFENSE PRESENTATION Friday, April 14, 2023 at 11:00 AM in Rice 108 & Zoom Title: SpRInG: A Spatial Relation Inference for Robot Systems

RYAN PHILPPE LENFANT: MS THESIS DEFENSE PRESENTATION Friday, April 14, 2023 at 8:30 AM in Olsson 211 TItle: Understanding Plant Communication with Commercial Sensors

SPENCER KEEFER: MS THESIS DEFENSE PRESENTATION Tuesday, April 11, 2023 at 12:30 PM in Rice 107 & Zoom Title: A Toolkit for Creating Tangible Interfaces with Dynamic States using Compliance Illusion

NAN WANG: PHD DEFENSE PRESENTATION Tuesday, April 11, 2023 at 9:00 AM in Rice 504 & Zoom Title: Towards Transparent and Fair Personalization Systems

JIAYI CHEN: PHD PROPOSAL PRESENTATION Friday, April 7, 2023 at 4:30 PM in Rice 108 & Zoom Title: Collaborative Multimodal Learning with Partial Observations and Spatio-temporal Task Heterogeneity

JIAN WANG: PHD DEFENSE PRESENTATION Friday, April 7, 2023 at 10:30 AM in Rice 540 & Zoom Title: Deep Image Analysis Based on Deformable Shapes and Its Applications to Neuroimaging

DUNG NGUYEN: PHD QUALIFYING EXAM PRESENTATION Thursday, March 2, 2023 at 2:00 PM via Zoom Title: Differently Private Community Detection for Stochastic Block Models

KAYLA BOGGESS: PHD QUALIFYING EXAM PRESENTATION Tuesday, February 28, 2023 at 3:15 PM in Link Lab (Olsson) 211 Title: Explainable Multi-Agent Reinforcement Learning for Temporal Queries

JIANHUI SUN: PHD PROPOSAL PRESENTATION   Thursday, February 23, 2023 at 11:00 AM in Rice 504 & Zoom Title: Efficient Federated Optimization Algorithms with Extreme Client Heterogeneity and Complex Objective Functions

MARSHALL CLYBURN: PHD QUALIFYING EXAM PRESENTATION Wednesday, February 22, 2023 at 3:30 PM in Rice 504 Title: Accounting Simultaneous Peripheral Usage in Multi-tenant Embedded Systems

ABTIN AFSHAR: PHD QUALIFYING EXAM PRESENTATION Wednesday, February 22, 2023 at 1:00 PM in Rice 414 & Zoom Title: On the Complexity of Multi-Party Non-Interactive Key-Exchange

VANAMALA VENKATASWAMY: PHD DEFENSE PRESENTATION Monday, February 6, 2023 at 3:00 PM in Rice 107 & Zoom Title: Scheduling to Ensure Performance and Cost Effectiveness in Power-Modulated Datacenters

MD FAZLAY RABBI MASUM BILLAH: PHD DEFENSE PRESENTATION Thursday, February 2, 2023 at 10:15 AM in Rice 108 & Zoom Title: Enhancing the Human-IoT Interaction Experience through Deep Multimodal Sensor Fusion

JING MA: PHD PROPOSAL PRESENTATION Wednesday, January 11, 2023 at 11:00 AM via Zoom Title: Bridging the Gap Between Causal Inference and Graph Machine Learning

YINZHU JIN: PHD QUALIFYING EXAM PRESENTATION Wednesday, December 21, 2022 at 10:00 AM in Rice 514 Title: Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold

ALIF AHMED: PHD PROPOSAL PRESENTATION Friday, December 16, 2022 at 12:00 PM via Zoom Title: Understanding and Optimizing Memory Access Behaviors via Hardware/Software Co-design

TU LE: PHD PROPOSAL PRESENTATION Thursday, December 15, 2022 at 11:00 AM via Zoom Title: Ensuring User Privacy in the World of Internet-of-Things

FATEME NIKSERESHT: PHD QUALIFYING EXAM PRESENTATION Wednesday, December 14, 2022 at 11:30 AM in Link Lab (Olsson) 211 Title: Adaptable Sensor-free Occupancy Detection Using WiFi Fine Time Measurement

FELIPE TOLEDO: PHD QUALIFYING EXAM PRESENTATION Wednesday, December 14, 2022 at 10:00 AM in Rice 109 & Zoom Title: Towards Verification of Natural Language Processing Models

LAHIRU NUWAN SENARATHNA WIJAYASINGHA Monday, December 12, 2022 at 3:00 PM in Link Lab (Olsson) 211 Title: Smart Glasses as Support for Training First Responders

CHUANHAO LI: PHD PROPOSAL PRESENTATION Monday, December 12, 2022 at 3:00 PM in Rice 204 & Zoom Title: Decision Making in Multi-agent Systems: from Cooperation to Competition

LINGXI WU: PHD PROPOSAL PRESENTATION Thursday, December 8, 2022 at 4:00 PM via Zoom Title: Designing Near-data-processing Solutions for Data-intensive Applications

ANSHUMAN SURI: PHD PROPOSAL PRESENTATION Thursday, December 8, 2022 at 12:00 PM in Rice 504 & Zoom Title: Distribution Inference

SIKUN GUO: MS THESIS DEFENSE PRESENTATION Friday, December 2, 2022 at 4:00 PM in Rice 504 & Zoom Title: Robust Graph Neural Networks via Adaptive Aggregator Selection and Long-range Dependency Modeling

BARGAV JAYARAMAN: PHD DISSERTATION DEFENSE PRESENTATION Friday, December 2, 2022 at 3:00 PM in Rice 107 and Teams Title: Analyzing the Leaky Cauldron: Inference Attacks on Machine Learning

ELIZABETH PALMIERI: MS THESIS DEFENSE PRESENTATION Friday, December 2, 2022 at 9:00 AM via Zoom Title: An Empirical Study on Readers' Intuition of the Political Stances in News Headlines

CONNER WARD: MS THESIS DEFENSE PRESENTATION Thursday, December 1, 2022 at 10:00 AM in Rice 109 & Zoom Title: Speculative Super-optimization: Dynamic Binary Vector Widening

SWAPNA THORVE: PHD DISSERTATION DEFENSE PRESENTATION Monday, November 28, 2022 at 11:00 AM via Zoom Title: Data-Driven Scalable AI for Addressing Problems in the Study of Smart Grids

RITWICK MISHRA: MS THESIS DEFENSE PRESENTATION Tuesday, November 22, 2022 at 12:00 PM via Zoom Title: Reconstructing an Epidemic Outbreak using Steiner Connectivity

DAVID SHRIVER: PHD DISSERTATION DEFENSE PRESENTATION Friday, November 18, 2022 at 11:00 AM in Rice 032 & Zoom Title: Increasing the Applicability of Verification Tools for Neural Networks

NAN WANG: PHD PROPOSAL PRESENTATION Thursday, November 17, 2022 a 3:00 PM in Rice 204 & Zoom Title: Building Transparent and Fair Personalization Systems

WEN YING: PHD QUALIFYING EXAM PRESENTATION Wednesday, November 16, 2022 at 1:00 PM in Rice 504 & Zoom Title: VRScroll: A Shape-Changing Device for Precise Sketching in Virtual Reality

JIECHAO GAO: PHD PROPOSAL PRESENTATION Wednesday, November 16, 2022 at 10:00 AM in Rice 109 Zoom Title: Towards Private and Accurate IoT Applications

ZIROU QIU: PHD QUALIFYING EXAM PRESENTATION Monday, November 14, 2022 at 1:00 PM via Zoom Title: Finiding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems

LIWEI GUO: PHD DISSERTATION DEFENSE PRESENTATION Friday, September 16, 2022 at 3:00 PM via Zoom and in Olsson 211 Title: Operating and Runtime Systems Toward an Efficient and Secure Edge

TU LE: PHD QUALIFICATION PROPOSAL PRESENTATION Wednesday, August 17, 2022 at 10:00 AM via Zoom Title: Exploring Smart Commercial Building Occupants' Perceptions and Notification Preferences of IoT Data Collection

ASHLEY YE GAO: PHD PROPOSAL PRESENTATION Thursday, August 4, 2022 at 1:00 PM via Zoom Title: Addressing Realisms Faced by Deep Learning Models in Cyber Physical Systems

KISHLAY JHA: PHD DEFENSE PRESENTATION Monday, July 25, 2022 at 3:00 PM via Zoom Title: A Continual Machine Learning Framework for Accelerating Scientific Discovery

XIAO ZHANG: PHD DEFENSE PRESENTATION Friday, July 22, 2022 at 12:00 PM via Zoom Title: From Characterizing Intrinsic Robustness to Adversarial Robust Machine Learning

MENGDI HUAI: PHD DEFENSE PRESENTATION Monday, July 18, 2022 at 1:00 PM via Zoom Title: Fostering Trustworthiness in Machine Learning Algorithms

SIHANG LIU: PHD DEFENSE PRESENTATION  Monday, July 18, 2022 at 10:00 AM via Zoom Title: A Holistic System Support for Persistent Memory

TAMJID AL RAHAT: PHD QUALIFYING EXAM PRESENTATION Wednesday, July 13, 2022 at 3:30 PM via Zoom Title: Efficient Security Checking for OAuth Service Provider Implementations

JIANFANG CHI: PHD DEFENSE PRESENTATION Monday, July 11, 2022 at 2:00 PM via Zoom Title: Towards Understanding and Practices of Ethical Artificial Intelligence

WENQIANG (WINSTON) CHEN: PHD DEFENSE PRESENTATION Wednesday, July 6, 2022 at 10:00 AM in Link Lab 211 Title: ViWatch: Harness Vibrations for Fine-grained On-body Interfaces with a Commodity IMU Sensor

LU LIN: PHD DEFENSE PRESENTATION Wednesday, June 29, 2022 at 3:00 PM via Zoom Title: Graph Structure as a Double-Edge Sword in Machine Learning

ARSHDEEP SEKHON: PHD DEFENSE PRESENTATION Wednesday, June 29, 2022 at 2:00 PM via Zoom Title: Relational Structure Discovery for Deep Learning

HANJIE CHEN: PHD PROPOSAL PRESENTATION Tuesday, June 21, 2022 at 2:00 PM via Zoom TItle: Neural Model Interpretability for Natural Language Processing

SWAPNA THORVE: PHD PROPOSAL PRESENTATION Tuesday, June 21, 2022 at 10:30 AM via Zoom Title: Data-Driven Scalable AI Techniques for Addressing Problems in the Study of Smart Grids

INGY ELSAYED-ALY: PHD QUALIFYING EXAM PRESENTATION Friday, June 10, 2022 at 10:00 AM via Zoom Title: Logic-based Reward Shaping for Multi-Agent Reinforced Learning

ADIL RAHMAN: PHD QUALIFYING EXAM PRESENTATION Wednesday, June 8, 2022 at 10:00 AM via Zoom Title: Frappe: An Ultra Lightweight Mobile Application Framework for Rapid API-based Prototyping and Environmental Deployment

MD FAZLAY RABBI MASUM BILLAH: PHD PROPOSAL PRESENTATION Friday, June 3, 2022 at 10:00 AM via Zoom Title: Towards Multimodal Sensor Fusion for Deep Learning Models

YASUNARI KATO: MS THESIS DEFENSE PRESENTATION Friday, June 3, 2022 at 3:00 PM in Olsson Hall 211 & Zoom Title: Crash Consistency for Parallel Persistent Memory Programs

2021-2022 Student Presentations

ABDOLRASOUL SHARIFI: PHD QUALIFYING EXAM PRESENTATION Thursday, May 19, 2022 at 11:30 AM via Zoom Title: A Capability-Based Type Checking Engine for Enforcing Memory Safety and Type Safety

FARZANA AHMED SIDDIQUE: QUALIFYING EXAM PRESENTATION Friday, May 6, 2022 at 2:00 PM via Zoom Evaluating Deterministic vs. Non Deterministic Finite Automata Model for Automata Processing

CHIJUNG JUNG: PHD QUALIFYING EXAM PRESENTATION Thursday, May 5, 2022 at 9:30 AM via Zoom Title: Swarm Mission Slicing for Effective and Focused Testing

JIANHUI SUN: PHD QUALIFYING EXAM PRESENTATION Tuesday, May 3, 2022 at 11:00 AM via Zoom Title: Close the Robust Generalization Gap via Manipulating Diffusion

AMAN SHRIVASTAVA: PHD QUALIFYING EXAM PRESENTATION Monday, April 25, 2022 at 1:00 PM via Zoom Title: Estimating and Maximizing Mutual Information for Knowledge Distillation

NICHOLAS MOHAMMAD: MS THESIS DEFENSE PRESENTATION Wednesday, April 20, 2022 at 5:00 PM via Zoom Title: Occlusion-aware Motion Planning of Autonomous Robots in Cluttered and Unknown Environments

G. MICHAEL FITZGERALD II: MS THESIS DEFENSE PRESENTATION Wednesday, April 20, 2022 at 1:00 PM In Olsson Hall 211 Title: A New Approach For Designing Time Series Data Storage Systems

FAN YAO: PHD QUALIFYING EXAM PRESENTATION Wednesday, April 20, 2022 at 10:45 AM via Zoom Title: Recommendation Algorithm Design for Learning Users

JOSIE LAMP: PHD QUALIFYING EXAM PRESENTATION Tuesday, April 19, 2022 at 9:30AM via Zoom Title: Differentially Private Learning for Logic-Based Clinical Decision Support Systems

YILING JAI: PHD DEFENSE PRESENTATION Friday, April 15, 2022 at 11:00 AM via Zoom Title: Toward Reliable Decision-Making in Information Systems

LIWEI GUO: PHD PROPOSAL PRESENTATION Tuesday, April 12, 2022 at 8:30 AM in Olsson 211 (Link Lab) Title: Turbocharging NLP Cold Start Inference at the Edge

MARZIEH LENJANI: PHD DEFENSE PRESENTATION Monday, April 11, 2022 at 9:00 AM via Zoom Title: Rethinking Control, Access, and Communication Mechanisms for Data-Intensive Applications

A S M AHSAN-UL HAQUE: MS THESIS DEFENSE PRESENTATION Thursday, April 7, 2022 at 11:00 AM via Zoom Title: Rethinking Conversational Recommendations: Is Decision Tree All You Need

JIAN WANG: PHD PROPOSAL PRESENTATION Friday, April 1, 2022 at 9:00 AM in Thornton D115 & Zoom Title: Deep Image Analysis Based on Deformable Shapes and Its Applications to Neuroimaging

TREY WOODLIEF: PHD QUALIFYING EXAM PRESENTATION Friday, March 25, 2022 at 8:30 AM via Zoom Title: Foundations for Fault Analysis for Robotic Systems

JI GAO: PHD DEFENSE PRESENTATION Friday, March 11, 2022 at 1:00 PM via Zoom Title: On Security and Privacy Implications of Modifying Machine Learning Datasets

LU LIN: PHD PROPOSAL PRESENTATION Monday, February 14, 2022 at 9:00 AM via Zoom Title: Graph Structure as a Double-Edged Sword in Machine Learning

JIANFENG CHI: PHD DISSERTATION PROPOSAL PRESENTATION Thursday, February 2, 2022 at 11:00 AM via Zoom Title: Towards Understanding and Practices of Ethical Artificial Intelligence

HANNAH CHEN: PHD QUALIFYING EXAM PRESENTATION Friday, January 28, 2022 at 10:00 AM via Zoom Title: Balanced Adversarial Training: Balancing Tradeoffs Between Oversensitivity and Undersensitivity in NLP Models

PRATHYUSH SAMBATURU: PHD DISSERTATION DEFENSE PRESENTATION Tuesday, January 11, 2022 at 10:00 AM via Zoom Title: Controlling Epidemicson Networks Using Stochastic Optimization Techniques

PENG WANG: MS THESIS DEFENSE PRESENTATION Tuesday, December 7, 2021 at 10:00 AM via Zoom Title: Graph-based Extractive Explainer for Recommendations

JASPREET RANJIT: MS THESIS DEFENSE PRESENTATION Monday, December 6, 2021 at 10:00 AM via Zoom Title: Analyzing Biases in Visual Recognition Models 

DAVID SHRIVER: PHD PROPOSAL PRESENTATION Friday, November 19, 2021 at 10:00 AM via Zoom Title: Increasing the Applicability of Verification Tools for Neural Networks

ARSHDEEP SEKHON: PHD PROPOSAL PRESENTATION Friday, November 5, 2021 at 11:30 AM via Zoom Title: Relational Structure Discovery for Deep Learning

ZHE WANG: PHD QUALIFYING EXAM PRESENTATION Friday, November 5, 2021 at 10:00 AM via Zoom Title: ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning

WANYU DU: PHD QUALIFYING EXAM PRESENTATION Monday, November 1, 2021 at 10:00 AM via Zoom Title: Controlled Open-domain Dialogue Generation via Additive Side Networks

JIBANG WU: PHD QUALIFYING EXAM PRESENTATION Monday, October 11, 2021 at 9:00 AM via Zoom Title: Auctioning with Strategically Reticent Bidders

SONEYA BIOTA HOSSAIN: PHD QUALIFYING EXAM PRESENTATION Tuesday, September 28, 2021 at 9:00 AM via Zoom Title: Measuring Structural Code Coverage Based on Test Assertions

ASHLEY GAO: PHD QUALIFYING EXAM PRESENTATION Tuesday, September 21, 2021 at 10:00 AM via Zoom Title: The Enforced Transfer: A Novel Transfer Learning Solution Applied to Interpersonal Conflict Detection and More

ANSHUMAN SURI: PHD QUALIFYING EXAM PRESENTATION Wednesday, September 1, 2021 at 1:00 PM via Zoom Title: Formalizing and Estimating Distribution Inference Risks

JI GAO: PHD PROPOSAL PRESENTATION Tuesday, August 3, 2021 at 10:00 AM via Zoom Title: On Security and Privacy Implications of Modifying Machine Learning Datasets

YILING JIA: PHD PROPOSAL PRESENTATION Monday, August 2, 2021 at 1:30 PM via Zoom Title: Toward Reliable Interactive Learning for Search and Recommendation Systems

RENQIN CAI: PHD DISSERTATION DEFENSE PRESENTATION Thursday, July 29, 2021 at 2:30 PM via Zoom Title: Exploit the Structure of User Feedback in Recommender Systems

SIRAT SAMYOUN: PHD PROPOSAL PRESENTATION Thursday, July 29, 2021 at 2:30 PM via Zoom Title: Toward Intelligent Monitoring and Assistive Technologies for Healthcare using Smartwatches

HUAZHENG WANG: PHD DISSERTATION DEFENSE PRESENTATION Tuesday, July 20, 2021 at 2:30 PM via Zoom Title: Learning by Exploration with Information Advantage

JACK LANCHANTIN: PHD DISSERTATION DEFENSE PRESENTATION Tuesday, July 20, 2021 at 2:00 PM via Zoom Title: Modeling interactions with Deep Learning

JIAYI CHEN: PHD QUALIFYING EXAM PRESENTATION Monday, July 19, 2021 at 10:00 AM via Zoom Title: Adaptive Topological Transduction for Imbalanced Multimodal Few-shot Learning

LIJING WANG: PHD DISSERTATION DEFENSE PRESENTATION Thursday, July 15, 2021 at 5:00 PM via Zoom Title: Artificial Intelligence Solutions for Reliable Epidemic Forecasting

MEIYI MA: PHD DISSERTATION DEFENSE PRESENTATION Wednesday, July 14, 2021 at 3:00 PM via Zoom Title: Formal Methods Enhanced Deep Learning for Integrated Cyber-Physical Systems

GUANGTAO ZHENG: PHD QUALIFYING EXAM PRESENTATION Monday, July 12, 2021 at 4:00 PM via Zoom Title: Meta-Learning Class Structures for Improved Few-Shot Classification

MITCH GERRARD: PHD DISSERTATION DEFENSE PRESENTATION Monday, July 12, 2021 at 10:00 AM via Zoom Title: Alternating Conditional Analysis

ARON HARDER: PHD QUALIFYING EXAM PRESENTATION Tuesday, June 29, 2021 at 1:00 PM via Zoom Title: Scenario2Vector - Scenario Description Language Based Embeddings for Traffic Situation

WILLIAM LEESON: PHD QUALIFYING EXAM PRESENTATION Tuesday, June 22, 2021 at 3:00 PM via Zoom Title: Algorithm Selection for Program Verification using Graph Neural Networks

LIUWANG KANG: PHD DISSERTATION DEFENSE PRESENTATION Monday, June 21, 2021 at 2:00 PM via Zoom  Title: Data-Driven Battery Attack Detection and Control Behavior Determination for Vehicle Driving Safety

TIANLU WANG: PHD DISSERTATION DEFENSE PRESENTATION Thursday, June 17, 2021 at 1:00 PM via Zoom Title: Measuring and Mitigating Biases in Vision and Language Models

JIECHAO GAO: PHD QUALIFYING EXAM PRESENTATION Thursday, June 3, 2021 at 2:30 PM via Zoom Title: Residential Energy Management System Using Personalized Federated Deep Reinforcement Learning

XIDA REN: PHD QUALIFYING EXAM PRESENTATION Monday, May 17, 2021 at 3:00 PM via Zoom Title: Exploring New Attacks on the Intel/AMD Micro-Op Cache

WENQIANG CHEN: PHD PROPOSAL PRESENTATION Monday, May 17, 2021 at 2:30 PM via Zoom Title: Vibration Intelligence: Bringing Machine Perception Beyond the Human-Like

2020-2021 Student Presentations

MENGDI HUAI: PHD PROPOSAL PRESENTATION Monday, May 10, 2021 at 1:00 PM via Zoom Title: Fostering Trustworthiness in Machine Learning and Algorithms

HAOYU WANG: PHD DISSERTATION DEFENSE PRESENTATION Friday, April 23, 2021 at 11:00 AM via Zoom Title: Reducing Network Latency for Web Applications in a Datacenter

WILL XIAO: MS THESIS DEFENSE PRESENTATION Thursday, April 22, 2021 at 4:30 PM via Zoom Title: Fashion Trend Detection

FUWEN TAN: PHD DISSERTATION DEFENSE PRESENTATION Wednesday, April 21, 2021 at 5:00 PM via Zoom Title: Learning Local Representations of Images and Text

KAI LIN: MS THESIS DEFENSE PRESENTATION Wednesday, April 21, 2021 at 12:00 PM via Zoom Title: SenseBody: A Multi-agent Human Activity Recognition System Using Wearable Devices

AKHIL SAI PEDDIREDDY: MS THESIS DEFENSE PRESENTATION Tuesday, April 20, 2021 at 4:30 PM via Zoom Title: Real-time Epidemiological Workflows: From Surveillance to Forecasting for COVID-19 response

MOHIT SUDHAKAR: MS THESIS DEFENSE PRESENTATION Tuesday, April 21, 2021 at 3:30 PM via Zoom Title: Detoxification of Pretrained Language Models through Subspace Transformation

MANISHA SUDHIR: MS THESIS DEFENSE PRESENTATION Tuesday, April 20, 2021 at 3:00 PM via Zoom Title: Controlling Diffusion on Multi-Pathway Spatial Networks: Application to Biological Invasions

JIN YONG YOO: MS THESIS DEFENSE PRESENTATION Monday, April 19, 2021 at 9:30 AM via Zoom Title: Towards Improving Adversarial Robustness of NLP Models

HANG SU: MS THESIS DEFENSE PRESENTATION Friday, April 16, 2021 at 5:00 PM via Zoom Title: Shorter and Faster Post-Quantum Designated-Verifier zkSNARK from Lattices

SANCHIT SINHA: MS THESIS DEFENSE PRESENTATION Friday, April 16, 2021 at 11:00 AM via Zoom Title: Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing

ANIRUDDHA DAVE: MS THESIS DEFENSE PRESENTATION Friday, April 16, 2021 at 10:00 AM via Zoom TItle: Disentangling Representations in Pre-Trained Language Models

CHUANHAO LI: PHD QUALIFYING EXAM PRESENTATION  Thursday, April 15, 2021 at 11:00 AM via Zoom Title: A Unified Approach to Clustered Non-stationary Linear Bandits

ANASTASIA LALAMENTIK: MS THESIS PRESENTATION Thursday, April 15, 2021 at 9:00 AM via Zoom Title: Tactile Glance: Encoding Notifications using Illusive Movement Constraints for Eyes- and Ears-free Interaction

RENQIN CAN: PHD PROPOSAL PRESENTATION Wednesday, April 14, 2021 at 3:30 PM via Zoom Title: Exploit the Structure of User Feedback in Recommender Systems

RISHAB BAMRAMRA: MS THESIS DEFENSE PRESENTATION Monday, April 12, 2021 at 4:00 PM via Zoom Title: Poisoning Attacks on Online Learning to Rank

ZHENDONG CHU: PHD QUALIFYING EXAM PRESENTATION Wednesday, April 7, 2021 at 10:30 AM via Zoom Title: Learning from Crowds by Modeling Common Confusions

SIHANG LIU: PHD PROPOSAL PRESENTATION Wednesday, March 31, 2021 at 4:00 PM via Zoom Title: A Holistic System Support for Persistent Memory

ALIF AHMED: PHD QUALIFYING EXAM PRESENTATION Tuesday, March 30, 2021 at 3:00 PM via Zoom Title: Fine Grained Shadow Workload Generation Preserving Memory Access Patterns

LIUWANG KANG: PHD PROPOSAL PRESENTATION Friday, March 19, 2021 at 12:00 PM via Zoom Title: Data-Driven Battery Attack Detection and Control Behavior Determination for Vehicle Driving Safety

ANSHUMAN SURI: PHD QUALIFYING EXAM PRESENTATION Friday, March 19, 2021 at 9:30 AM via Zoom Title: Property Inference Attacks on Deep Learning Models

HUAZHENG WANG: PHD PROPOSAL PRESENTATION Thursday, March 4, 2021 at 3:30 PM via Zoom Title: Learning by Exploration with Information Advantage

MD FAZLAY RABBI MASUM BILLAH: PHD QUALIFYING EXAM PRESENTATION Wednesday, January 27, 2021 at 10:00 AM via Zoom Title: Indoor Occupancy Detection with Heterogeneous Smart Devices: A Reinforcement Learning Approach

SUYA: PHD PROPOSAL PRESENTATION Tuesday, January 19, 2021 at 2:00 PM via Zoom Title: Designing Better Attacks with Information about Data Distributions and Realistic Attacker Goals

JACK LANCHANTIN: PHD PROPOSAL PRESENTATION Friday, January 15, 2021 at 3:00 PM via Zoom Title: Representation Learning for Biological Sequence Data

ANKUR SARKER: PHD DISSERTATION DEFENSE Friday, January 15, 2021 at 9:30 AM via Zoom Title: Data-Driven Misbehavior Generation and Detection Methodologies for Intelligent Transportation Systems

GUANGXU XUN: PHD DISSERTATION DEFENSE Monday, January 11, 2021 at 11:00 AM via Zoom Title: Contextual Representation Learning for Text Data

BARGAV JAYARAMAN: PHD PROPOSAL PRESENTATION Wednesday, December 23, 2020 at 11:00 AM via Zoom Title: Analyzing the Leaky Cauldron: Defending Machine Learning against Inference Attacks

TIANLU WANG: PHD PROPOSAL PRESENTATION Friday, December 18, 2020 at 3:00 PM via Zoom Title: Measuring and Mitigating Biases in Vision and Language Models

PRATHYUSH KUMAR KASYAP SAMBATURU: PHD PROPOSAL PRESENTATION Friday, December 18, 2020 at 8:30 AM via Zoom  Title: Controlling Epidemics on Networks and Explaining Spatio-Temporal Clusters of Epidemic Spread

ZIYAN YANG: PHD QUALIFYING EXAM   Thursday, December 17, 2020 at 12:00 PM via Zoom Title: Using Visual Feature Space as a Pivot Across Languages

FUWEN TAN: PHD PROPOSAL PRESENTATION Tuesday, December 15, 2020 at 4:00 PM via Zoom Title: Learning Local Representations of Images and Text

ZHENDONG CHU: PHD QUALIFYING EXAM PRESENTATION Tuesday, December 15, 2020 at 10:00 AM via Zoom Title: Learning from Crowds by Modeling Common Confusions

LIJING WANG: PHD PROPOSAL PRESENTATION Monday, December 14, 2020 at 5:00 PM via Zoom Title: Artificial Intelligence Solutions for Reliable Epidemic Forecasting

MARZIEH LENJANI: PHD PROPOSAL PRESENTATION Thursday, December 10, 2020 at 3:00 PM via Zoom Title: Breaking the Memory Wall: Light-weight Compression and Near-data Processing for Data-intensive Applications

FAYSAL HOSSAIN SHEZAN: PHD QUALIFYING EXAM Thursday, December 3, 2020 at 12:30 PM via Zoom Title: VerHealth: Vetting Medical Voice Applications through Policy Enforcement

ANASTASIA LALAMENTIK: MASTER'S THESIS DEFENSE PRESENTATION Tuesday, December 1, 2020 at 11:00 AM via Zoom Title: Tactile Glance: Encoding Notifications using Illusive Movement Constraints for Eyes- and Ears-free Interaction

GUANGXU XUN: PHD PROPOSAL PRESENTATION Tuesday, December 1, 2020 at 10:00 AM via Zoom TItle: Contextual Representation Learning for Text Data

SANXING CHEN: MASTER'S THESIS DEFENSE PRESENTATION Tuesday, November 24, 2020 at 12:00 PM via Zoom Title: Contextualizing Language Understanding wiht Graph-based Knowledge Representations

NABEEL NASIR: PHD QUALIFYING EXAM PRESENTATION Wednesday, September 9, 2020 at 1:00 PM via Zoom Title: An Architecture for Edge Computing over Underutilized Gateways

WENQIAN CHEN: PHD QUALIFYING EXAM PRESENTATION Friday, September 4, 2020 at 8:30 AM via Zoom Title: Continuous Micro Finger Writing for AR/VR Interaction Using Vibration on a Commodity Smartwatch

SARAH MASUD PREUM: PHD DISSERTATION DEFENSE Monday, August 31, 2020 at 10:00 AM via Zoom Title: Information Extraction and Fusion for Improving Health Safety

WEN YING: MASTER'S (MS) THESIS DEFENSE PRESENTATION Thursday, July 23, 2020 at 2:30 PM via Zoom Title: Evaluation of Touch Gesture Performance on Surfaces in Virtual Reality

RYAN MCCAMPBELL: MATER'S (MS) THESIS PRESENTATION Thursday, July 23, 2020 at 12:00 PM via Zoom Title: Towards Probabilistic Reasoning for Autonomous Vehicles

MAGGIE GATES: MASTER'S (MS) THESIS PRESENTATION Friday, July 17, 2020 at 1:00 PM via Zoom Title: Towards Trustworthy Swarming of Autonomous Vehicles

SAEED MAHLOUJIFAR: PHD DISSERTATION DEFENSE Thursday, July 9, 2020 at 10:30 AM via Zoom Title: A Formal Approach to Adversarial Machine Learning

KISHLAY JHA: PHD PROPOSAL PRESENTATION Thursday, July 9, 2020 at 10:30 AM via Zoom Title: LifelongTextMiner: A Continual Machine Learning Framework to Accelerate Scientific Discovery from Biomedical Corpus

MD AASHIKUR RAHMAN AZIM: PHD QUALIFYING EXAM PRESENTATION Tuesday, June 20, 2020 at 9:00 PM via Zoom Title: Handling Conflicts Between Foot Gestures and Daily Foot Activities

QINGYUN WU: PHD DISSERTATION DEFENSE Tuesday, June 23, 2020 at 1:00 PM via Zoom Title: Interactive Online Learning with Incomplete Knowledge

MINBIAO HAN: PHD QUALIFYING EXAM PRESENTATION Tuesday, June 23, 2020 at 9:00 AM via Zoom Title: Be Careful When Learning to Price: A Theory of Learning from Strategically Revealed Preferences

JIANFENG CHI: PHD QUALIFYING EXAM PRESENTATION Thursday, June 11, 2020 at 4:00 PM via Zoom Title: Trade-offs and Guarantees in Adversarial Representation Learning for Attribute Obfuscation and Inference

LAHIRU NUWAN WIJAYASINGHA: PHD QUALIFYING EXAM PRESENTATION Tuesday, June 9, 2020 at 2:00 PM via Zoom Title: Frequency Domain Features and Their Robustness for Spoken Emotion Classification with CNN

VANAMALA VENKATASWAMY: PHD PROPOSAL PRESENTATION Tuesday, June 9, 2020 at 10:00 AM via Zoom Title: Scheduling to ensure performance and cost effectiveness in data centers running on renewable energy

TANMOY SEN: PHD QUALIFYING EXAM PRESENTATION Friday, May 29, 2020 at 10:00 AM via Zoom Title: Hybrid and Compressed DNN Ensemble Models on Edge Devices for Handling Diverse Noises

JIAN WANG: PHD QUALIFYING EXAM PRESENTATION Friday, May 22, 2020 at 2:00 PM via Zoom Title: Predictive Modeling for Regularization Estimation in Image Registration

LINGXI WU: PHD QUALIFYING EXAM PRESENTATION Wednesday, May 20, 2020 at 1:00 PM via Zoom Title: Sieve: Scalable In-situ DRAM-based Accelerator Designsfor Massively Parallel k-mer Matching

2019-2020 Student Presentations

CARL HILDEBRANDT: PHD QUALIFYING EXAM PRESENTATION Monday, May 4, 2020 at 2:00 PM via Zoom Title: Automated Shielding using Kinematic and Dynamic Models for Feasible and Safe Reinforcement Learning

HANJIE CHEN: PHD QUALIFYING EXAM PRESENTATION Monday, April 27, 2020 at 11:00 AM via Zoom Title: Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection

XIAO ZHANG: PHD PROPOSAL PRESENTATION Thursday, April 16, 2020 at 1:00 PM via Zoom Title: Adversarial Defenses and Intrinsic Robustness: Bridging the Gap

HAOYU WANG: PHD PROPOSAL PRESENTATION Wednesday, March 18, 2020 at 12:00 PM in Rice 107 Title: Reducing Network Latency for Web Applications in a Datacenter

NAN WANG: PHD QUALIFYING EXAM PRESENTATION Thursday, March 5, 2020 at 11:00 AM in Rice 107 Title: Unbiased Learning to Rank via Propensity Ratio Scoring on Implicit Feedback

LU LIN: PHD QUALIFYING EXAM PRESENTATION Tuesday, March 3, 2020 at 10:30 AM in Rice 514 Title: Graph Attention Networks over Edge Content-Based Channels

ANKUR SARKER: PHD PROPOSAL PRESENTATION Tuesday, January 14, 2020 at 2:00 PM in Rice 504 Title: Data-Driven Misbehavior Generation and Detection Methodologies for Intelligent Transportation Systems

MD ABU SAYEED MONDOL: PHD DEFENSE PRESENTATION Friday, January 10, 2020 at 11:00 AM in Link Lab 211 Title: Movement Visualization and Activity Recognition using Smart Wearables

AVINASH KALYANARAMAN: PHD DEFENSE PRESENTATION Thursday, December 12, 2019 at 3:00 PM in Rice 242 Title: Radar Sensing Systems for Smarter Indoor Human Environments

HYUN JAE CHO: MASTER'S THESIS DEFENSE PRESENTATION Tuesday, December 3, 2019 at 9:00 AM in Olssen 104 Title: Toward Automated Safety Coverage and Testing for Autonomous Vehicles

ANKUR SARKER: PHD PROPOSAL PRESENTATION Tuesday, November 26, 2019 at 12:00 PM in Rice 24 Title: Data-Driven Misbehavior Generation and Detection Methodologies for Intelligent Transportation Systems

ARSHDEEP SEKHON: PHD QUALIFYING EXAM PRESENTATION Thursday, November 21, 2019 at 9:00 AM in Rice 504 Title: InteractChrome: Combining Graphical Models and Graph Neural Networks to Identify Expression Guided Epigenetic Interactions

MARZIEH LENJANI: PHD QUALIFCATION EXAM PRESENTATION Monday, November 18, 2019 at 9:30 AM in Rice 242 Title: Fulcrum: a Simplified Control and Access Mechanism toward Flexible and Practical in-situ Accelerators

M ARIF IMTIAZUR RAHMAN: PHD QUALIFICATION EXAM PRESENTATION Friday, November 15, 2019 at 12:30 PM in Rice 204 Title: GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response

CHUNKUN BO: PHD DEFENSE PRESENTATION Monday, November 4, 2019 at 3:00 PM in Rice 242 Title: Automata Processing: from Application Acceleration to Hardware Design

ELAHE SOLTANAGHAEI: PHD DEFENSE PRESENTATION Wednesday, September 18, 2019 at 2:00 PM in Link lab 211 Title: Sensing the Physical World Using Pervasive Wireless Infrastructure

MOHSIN YUSUF AHMED: PHD DEFENSE PRESENTATION Tuesday, July 23, 2019 at 12:00 PM in Rice 242 Title:  Real-Time Dynamic Physical Phenomenon Adapted Machine Learning Pipeline for Smart Acoutsics

ERIN GRIFFITHS: PHD DEFENSE PRESENTATION Monday, July 22, 2019 at 10:00 AM in Rice 504 Title:  Solving Human Centric Challenges in Ambient Intelligence Environments to Meet Societal Needs

ASIF SALEKIN: PHD DEFENSE PRESENTATION Wednesday, June 26, 2019 at 11:00 AM in Rice 504 Title:  Human Vocal Event Detection for Realistic Healthcare Applications

LIN GONG: PHD DEFENSE PRESENTATION Tuesday, June 4, 2019 at 2:00 PM in Rice 504 Title:  Insights: From Social Psychology to Computation User Modeling

2018-2019 Student Presentations

LI YAN: PHD DEFENSE PRESENTATION Monday, May 13, 2019 at 8:30 AM in Rice 504 Title:  Data Driven Modeling and Scheduling of Hybrid Wireless Power Transfer Charging Systems

AHMADREZA RAHIMI: PHD QUALIFYING EXAM PRESENTATION Tuesday, April 23, 2019 at 12:00 PM in Rice 504 Title:  Registration-Based Encription: Definitions, Constructions, and Lower Bounds

ASHLEY GAO: MS THESIS DEFENSE PRESENTATION Monday, April 22, 2019 at 1:30 PM in Rice 504 Title:  Acoustic Pipeline for Speech-Based Emotion Detection

FUWEN TAN: PHD QUALIFYING EXAM PRESENTATION Monday, April 22, 2019 at 12:00 PM in Rice 514 Title:  Text2Scene: Generating Compositional Scenes from Textual Descriptions

YILING JIA: PHD QUALIFYING EXAM PRESENTATION Monday, April 22, 2019 at 10:00 AM in Rice 504 Title:  Active Collaborative Sensing for Household Energy Breakdown

MASTER'S THESIS DEFENSE: HANNAH LEUNG Thursday, April 18, 2019 at 5:00 PM in Rice 504 The Physical Semantics of Code

ELAHEH SADREDINI: PHD DISSERTATION DEFENSE PRESENTATION Wednesday, April 17, 2019 at 4:00 PM in Olsson 104 Title:  Accelerating Pattern Recognition Processing with In-Memory Architectures

WEILIN XU: PHD DEFENSE PRESENTATION Monday, April 15, 2019 at 11:00 AM in Rice 504 Title:  Improving Robustness of Machine Learning Models Using Domain Knowledge

MEIYI MA: PHD PROPOSAL PRESENTATION Thursday, April 4, 2019 at 11:30 AM in Rice 504 Title:  Conflict Detection and Resolution among Smart Services in Smart Cities

LU LIN: PHD QUALIFYING EXAM PRESENTATION Tuesday, March 26, 2019 at 1:00 PM in Rice 536 Title:  Modeling User-generated Content with Item Response Theory

MD ANINDYA PRODHAN: PHD DISSERTATION DEFENSE PRESENTATION Tuesday, March 19, 2019 at 10:30 AM in Rice 504 Title:  Campus Compute Co-Operative (CCC): A Service Oriented Cloud Federation

MITCHELL GERRARD: PHD PROPOSAL PRESENTATION Friday, March 1, 2019 at 2:00 PM in Rice 314 Title:  Alternating Conditional Analysis

SHRIRAG KODOOR: MASTER'S PROJECT PRESENTATION Wednesday, December 12, 2018 at 3:00 PM in Rice 204 Title:  Fly-by-pixels: End-to-end Learning for Autonomous FPV Drone Flight

CHUNKUN BO: PHD PROPOSAL PRESENTATION Monday, December 10, 2018 at 1:00 PM in Rice 242 Title:  Automata Processing: from Application Acceleration to Hardware Design

VANAMALA VENKATASWAMY: PHD QUALIFYING EXAM PRESENTATION Friday, December 7, 2018 at 10:00 AM in Rice 504 Title:  Pratikriti - An Asynchronous Data Replication Service in the GFFS

LIUWANG KANG: PHD QUALIFYING EXAM PRESENTATION Friday, November 30, 2018 at 1:00 PM in Rice 108 Title:  Attack Detection and Mitigation for Sensor and CAN Bus Attacks in Vehicle Anti-lock Braking Systems

MD MASUDUR RAHMAN: MASTER'S PROJECT PRESENTATION Monday, November 19, 2018 at 9:30 AM in Rice 504 Title:  How do Developers Use General-Purpose Web-Search Engine for Code Retrieval?

ELAHEH SADREDINI: PHD PROPOSAL PRESENTATION Monday, November 19, 2018 at 3:00 PM in Rice 242 Title:  Accelerating Complex Pattern Recognition Processing with In-Memory Accelerator Architectures

JINGHUI CHEN: PHD PROPOSAL PRESENTATION Friday, November 9, 2018 at 12:00 PM in Rice 242 Title:  Adversarial Attacks and Defenses in Deep Learning: An Optimization Perspective

DEZHI HONG: PHD DISSERTATION DEFENSE Monday, October 15, 2018 at 3:00 PM in Rice 404 Title:  Towards Automatic Context Inference for Sensors in Commercial Buildings

FNU SUYA: PHD QUALYING EXAM PROPOSAL Friday, September 28, 2018 at 1:00pm in Rice 108 Title:  Adversaries Don't Care About Averages: Batch Attacks Against Deep Learning Models

CHONG TANG: PHD DISSERTATION DEFENSE Friday, August 31, 2018 at 2:00pm in Rice 504 Title:  Improving System Performance via Design and Configuration Space Exploration

2017-2018 Student Presentations

NING YU: MASTERS PROJECT PRESENTATION Thursday, July 26, 2018 at 1:00pm in Rice 404 Title:  User-Controlled Texture Synthesis and Interpolation via Deep Variational Autoencoder

QINGYUN WU: PHD PROPOSAL Wednesday, July 25, 2018 at 1:00pm in Rice 414 Title: Interactive Online Learning with Incomplete Knowledge

BEILUN WANG: PHD DEFENSE PRESENTATION Friday, July 20, 2018 at 9:00am in Rice 242 Title:  Fast and Scalable Joint Estimators for Learning Sparse Gaussian Graphical Models from Heterogeneous Data with Additional Knowledge

JOHN HOTT: PHD DEFENSE PRESENTATION Friday, July 13, 2018 at 10:00 am in Rice 242 Title:  Evolving Networks: Structure & Dynamics

LU TIAN: MASTER'S THESIS DEFENSE PRESENTATION Monday, June 4, 2018 at 10:00am in Rice 404 Title:  Distributed and Secure Sparse Machine Learning

JINGHUI CHEN: PHD QUALIFYING EXAM PRESENTATION Tuesday, May 29, 2018 at 9:30am in Rice 204 Title:  Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks

HUAZHENG WANG: PHD QUALIFYING EXAM PRESENTATION Tuesday, May 8, 2018 at 10:00am in Rice 514 Title:  Efficient Exploration of Gradient Space for Online Learning to Rank

LIN GONG: PHD PROPOSAL PRESENTATION Friday, April 27, 2018 at 10:00am in Rice 103 Title:  Insights: From Social Psychology to Computational User Modeling

ANUDEEP KONDA: MASTER'S THESIS Thursday, April 19, 2018 at 11:00am in Rice 108 Title:  Automatic Quantification of Cardiac MRI for Hypertrophic Cardiomyopathy

WEILIN XU: PHD PROPOSAL PRESENTATION Tuesday, April 17, 2018 at 8:00am in Rice 304 Title:  Improving Robustness of Machine Learning Models using Domain Knowledge

IN KEE KIM: PHD DEFENSE PRESENTATION Friday, April 13, 2018 at 1:00pm in Rice 204 Title:  Proactive Resource Management to Ensure Predictable End-to-End Performance for Cloud Applications

ZHUOZHAO LI: PHD DEFENSE PRESENTATION Monday, April 9, 2018 at 4:00pm in Rice 242 Title:  Scheduling Techniquess in Different Architectures of Data-parallel Clusters for High Performance

JACK WADDEN: PHD DEFENSE PRESENTATION Monday, April 9, 2018 at 2:00pm in Rice 128 Title:  Accelerated Automata Processing Using Hybrid Spatial/von Neumann Architectures

RITAMBHARA SINGH: PHD DISSERTATION DEFENSE PRESENTATION Monday, April 9, 2018 at 12:00pm in Rice 504 Title:  Fast and Interpretable Classification of Sequential Data in Biology

JI GAO: PHD QUALIFYING EXAM PRESENTATION Wednesday, April 4, 2018 at 10:00am in Rice 504 Title:  Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

ELAHE SOLTANAGHAEI: PHD PROPOSAL PRESENTATION Monday, April 2, 2018 at 10:00am in Link Lab 211 Title:  Wireless Mulitpath: From a Challenge to an Opportunity for Sensing and Localization

AVINASH KALYANARAMAN: PHD PROPOSAL PRESENTATION Tuesday, March 13, 2018 at 10:00am in Rice 504 Title:  Sherlock Homes : Towards Practical Person Tracking in Homes

AMEER MOHAMMED: PHD DEFENSE PRESENTATION Friday, March 2, 2018 at 12:15pm in Rice 504 Title:  The Computational Complexity of Program Obfuscation

BARGAV JAYARAMAN: PHD QUALIFYING EXAMINATION PRESENTATION Thursday, February 15, 2018 at 10:30am in Rice 109 Title:  Combining Differential Privacy and Multi-Party Computation for Distributed Machine Learning

WILLIAM HAWKINS: PHD DISSERTATION DEFENSE PRESENTATION Monday, January 15, 2018 at 9:00am in Rice 404 Title:  Static Binary Rewriting to Improve Software Security, Safety, and Reliability

ASIF SALEKIN: PHD DISSERTATION PROPOSAL PRESENTATION Wednesday, December 20, 2017 at 2:30pm in Rice 204 Title:  Human Vocal Event Detection for Realistic Applications

LI YAN: PHD PROPOSAL PRESENTATION Monday, December 4, 2017 at 10:00am in Rice 404 Title:  Leveraging Large-scale Urban Data Analysis in Designing Intelligent Urban Transportation Systems

BEILUN WANG: PHD PROPOSAL PRESENTATION Wednesday, November 29, 2017 at 11:00am in Rice 504 Title:  Fast and Scalable Joint Estimators for Learning Sparse Gaussian Graphical Models from Heterogeneous Data

WILLIAM YOUNG: MCS PROJECT PRESENTATION Tuesday, November 28, 2017 at 1:00pm in Rice 204 Title:  DAMON - Data Authenticity Monitoring Systems for Diabetes Management

ZEYA CHEN: PHD QUALIFYING EXAM PRESENTATION Monday, November 20, 2017 at 9:00am in Rice 204 Title:  An Indoor Distant Speaker Identification System

MEYI MA: PHD QUALIFYING EXAM PRESENTATION Thursday, November 16, 2017 at 10:00am in Rice 514 Title:  CityGuard - A Watchdog for Safety-Aware Conflict Detection in Smart Cities

ZHUOZHAO LI: PHD PROPOSAL PRESENTATION Monday, November 6, 2017 at 3:30pm in Rice 204 Title:  Improving the Performance of Applications in Cloud Environments

YUCHI TIAN: PHD QUALIFYING EXAM PRESENTATION Monday, September 18, 2017 at 10:00am in Rice 204 Title: Automatically Diagnosing and Repairing Error Handling Bugs in C

LILIYA MCLEAN BESALEVA: PHD DISSERTATION DEFENSE Friday, August 25, 2017 at 10:00am in Rice 242 Title:  Smart E-Commerce Personalization Using Customized Algorithms

2016-2017 Student Presentations

LILIYA MCLEAN BESALEVA: PHD DISSERTATION DEFENSE Friday, August 25th, 2017 at 10:00 am in Rice 242 Title:  Smart E-Commerce Personalization Using Customized Algorithms

NATHAN BRUNELLE: PHD DISSERTATION DEFENSE Monday, July 31, 2017 at 9:00 am in Rice 242 Title:  Superscalable Algorithms

JONATHAN DORN: PHD DISSERTATION DEFENSE Thursday, July 20, 2017 at 12:30 pm in Rice 536 Title:  Optimizing Tradeoffs of Non-Functional Properties in Software

AMEER MOHAMMED: PHD PROPOSAL Thursday, May 18, 2017 at 3:00 pm in Rice 536 Title:  The Computational Complexity of Program Obfuscation

RITAMBHARA SINGH: PHD PROPOSAL PRESENTATION Monday, May 1, 2017 at 11:00 am in Rice 504 Title:  Fast and Interpretable Classification of Sequential Data in Biology

NING YU: PHD QUALIFYING EXAM PRESENTATION Tuesday, May 2, 2017 at 10:00 am in Rice 404 Title:  Learning to Detect Multiple Photographic Defects

PHD PROPOSAL PRESENTATION: IFAT EMI Tuesday, April 11, 2017 at 10:00 am in Rice 404

ZACK VERHAM: MASTER’S PROJECT PRESENTATION Wednesday, April 12, 2017

JACK WADDEN: PHD PROPOSAL PRESENTATION Wednesday, April 19th, 2017 at 2:00 pm in Rice 128 (Young Board Room)

CHONG TANG: PHD PROPOSAL PRESENTATION Thursday, April 6, 2017 at 10:00 am in Rice 536

QIANG LI, PHD DISSERTATION DEFENSE Wednesday, April 12, 2017 at 7:30 am in Rice 536 Title:  Multi-Body, Multi-Function Body Sensor Networks

WILL HAWKINS, PHD PROPOSAL PRESENTATION Monday, March 20, 2017 at 10:00 AM in Rice 414

QINGYUN WU, QUALIFYING EXAM PRESENTATION Date: Monday, March 27, 2017 at 3:00 PM in Rice 404

HAINA LI, PHD QUALIFYING EXAM PRESENTATION Tuesday, March 7, 2017 at 12:00 PM in Rice 204

ERIN GRIFFITHS, PHD PROPOSAL PRESENTATION Date: Friday, March 10, 2017 at 11:00 am in Rice 536

ELAHEH SADREDINI, PHD QUALIFYING EXAM PRESENTATION Thursday, December 15, 2016 at 10:00 AM in Rice 242

SARAH PREUM, PHD PROPOSAL PRESENTATION Friday, December 9, 2016 at 10:00AM in Rice 204

MUHAMMAD YANHAONA, PHD DISSERTATION DEFENSE Friday, December 2, 2016 at 10:00 am in Rice 242 Title:  PCubeS Type Architecture and IT Programming Language

NATHAN BRUNELLE, PHD PROPOSAL PRESENTATION Tuesday, November 15, 2016 at 9:30 am in Rice 242 Title: Scalable Algorithms for the Post Moore’s Law Era

JUHI RANJAN, PHD DISSERTATION DEFENSE PRESENTATION Friday, October 21, 2016 at 8:30 am in Rice 204 Title: It Takes Two: Exploring Interactions between Smart Objects and Wearables to Implicitly Identify and Authenticate Object Users

JACK LANCHANTIN, PHD QUALIFYING EXAM PRESENTATION Monday, September 26, 2016 at 1:30 pm in Rice 504 Title: Deep Motif: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

ELAHE SOLTANAGHAEI, PHD QUALIFYING EXAM PRESENTATION Monday, September 19, 2016 at 3:00 pm in Rice 504 Title: Classifying Home Occupancy States Using Walkway Sensing

JIAN XIANG, DISSERTATION DEFENSE Tuesday, August 23, 2016 at 3:00 PM in Rice 242 Title: Interpreted Formalism: Towards System Assurance and the Real-World Semantics of Software

• Question Papers
• Scholarships

100+ Computer Science Presentation Topics (Updated)

This is a list of computer science Presentation Topics for students and professionals. These updated topics can be used for PowerPoint Paper presentation, Poster Presentation, classroom ppt presentation, seminars, seminars, webinars and conferences. etc. These presentation topics will be beneficial for students of Engineering and management courses such as BE Computer science, B Tech IT, MCA, BCA and MBA.

Below is the list of Best Computer Science Presentation Topics.

Artificial intelligence

Advanced Research Projects Agency Network (ARPANET)

AI & critical systems

Quantum Computing

Arithmetic logic unit (ALU)

Accelerated Graphics Port (often shortened to AGP)

ATX (Advanced Technology eXtended)

Sixth Sense Technology: Concept VS. Reality

BASIC – Beginner’s All-purpose Symbolic Instruction Code

Foldable Phones: Future of Mobiles

Basic computer skills

Blu-ray Disc

Cloud computing

CD-ROM (compact disc read-only memory)

Machine Learning

Cellular architecture

Central Processing Unit (CPU)

Cloud Print for Android

Chip (integrated circuit)

Computer multitasking

Cloud computing applications

Cloud computing basics

Cloud Printing for Windows

Computer architectures

Edge Computing

Computer Diagnostic Softwares

Computer form factor

Computer hardware troubleshooting

Cyber Security: New Challenges

Computer Networks

Computer software programs

Computer tracking software

The world of Blockchain

Conventional Binary Numbering System

Conventional PCI (PCI is an initialism formed from Peripheral Component Interconnect

DASD (Direct Access Storage Device)

Internet of Things (IoT)

Desktop Computers

Digital Visual Interface (DVI)

Transparent Display: Concept Vs Reality

DIMM – DIMM which means (dual in-line memory module)

DisplayPort

DNA computers

DVD (Digital Video Disc or Digital Versatile Disc)

Dynamic random-access memory (DRAM)

EEPROM (E2PROM) – Electrically Erasable Programmable Read-Only Memory

Electronic Delay Storage Automatic Calculator (EDSAC)

Embedded computers

Google cloud computing

EPROM – An EPROM (rarely EROM), or erasable programmable read-only Memory

Evolution of Computers

Expansion card (expansion board, adapter card or accessory card)

ExpressCard

FDDI – Fiber Distributed Data Interface

Intelligent Apps

Flash Memory

Graphics processors

Google Glass: Future of Computers!

Hard disk drive (HDD)

Harvard Architecture vs Von Neumann architecture

HDMI (High-Definition Multimedia Interface)

Standardization of web

Image scanner

Input and output devices (collectively termed I/O)

Type C port: The Gamechanger

IOPS (Input/Output Operations Per Second, pronounced eye-ops)

Latest Computer Technologies

Latest Trends in Computer Science

Mainframe computers

Manchester Small-Scale Experimental Machine (SSEM or “Baby”)

Mechanical Analog Computers

Mini-VGA connectors

Motherboard – the central printed circuit board (PCB)

Multiprocessing

Network Topologies

Neural computers

Non-Uniform Memory Access (NUMA) computers

Non-volatile memory

Neuralink: The brain’s magical future

Non-volatile random-access memory

Operating system (OS)

Optical computers

Optical disc drive

Optical disc drive (ODD)

Palmtop computer

Neuralink: Next Big Tech?

PCI Express (Peripheral Component Interconnect Express)

PCI-X, short for PCI-eXtended

Personal Computers (PC)

Personal Digital Assistant (PDA)

Photolithographed semiconductors

Programmable read-only memory (PROM)

Programming language

PSU (power supply unit)

Quantum computer vs Chemical computer

RAID (redundant array of independent disks)

Random-access memory or RAM

Read-only memory or ROM

Register machine vs Stack machine

Remote computer access

Scalar processor vs Vector processor

SIMM, or single in-line memory module

Solid State Drive (SSD)

Spintronics based computer

Static random-access memory (SRAM)

Super Computers

Synchronous dynamic random access memory (SDRAM)

Teleprinter

Ternary computers

Video Graphics Array (VGA) connector

Wearable computer

Virtual Reality

This is all about latest and best presentation topics for computer science and applications studies.

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700+ Seminar Topics for CSE (Computer Science) with ppt (2024)

Seminar Topics for Computer Science (CSE) with ppt and report (2024) : As technology is emerging day by day. new technologies are coming quickly. And Seminar topics for Computer Science are becoming must find for every student. There are lots of students in Computer Science and Engineering who need quick seminar topics for CSE with ppt and report.

Table of Contents

We understand the burden students are facing today. So we have made a huge collection of  Seminar Topics for CSE with ppt and report.

I hope you will save a lot of time with these  Seminar Topics for CSE with ppt.

 Seminar Topics for Computer Science with ppt and report (2024)

Technical seminar topics for cse with abstract.

3D Printing

3D Printing is the process to develop a 3D printed object with the help of additive processes. Here, there are three-dimensional objects created by a 3D printer using depositing materials as per the digital model available on the system.

4G Technology

4G Technology can be defined as the fourth generation communication system that let users use broadband type speed without any need for Wi-Fi. It is simply called an advanced level radio system that makes the system efficient and quicker. Over the years, it has become an important part of people’s lives globally.

5 Pen PC Technology

5 Pen PC Technology is simply a cluster of gadget that comes with a great sort of features. It includes a virtual keyboard, projector, personal ID key, a pen-shaped mobile phone, and a camera scanner. Using this technology, an crystal clear digital copy of handwritten details can be created.

Android is an operating system created mainly for smartphone and tablets. It is a brilliant technology that allows the users to perform a variety of functions like using GPS for checking traffic areas, etc. Android is the mastermind behind everything ranging from top tablets to 5G phones.

AppleTalk is a networking protocol used in Mac computer systems and devices for making communication. It was originally introduced in 1984 by Apple and get replaced by TCP/IP in 2009 with the release of macOS X v10.6.

Blackberry Technology

Blackberry Technology is an integrated e-mail system provided by the Blackberry company in their handheld devices. Here, there is a unique PIN provided to every phone for identifying the device. This technology can even get accessed in an offline area without any need for wireless service.

Bluejacking

Bluejacking is a technique used by hackers to send messages to a different user with the help of Bluetooth connection. The most common use of this technology is sending unwanted images, text messages or sounds to other Bluetooth equipment in the network range.

Blue-ray Disc

Blu-Ray is an high-definition disc format that let the users see images with extreme level depth, detail, and color. It was released in 2006 as a successor to DVD for improving the experience of the users. This type of discs streams data at 36 megabits per second that is much fast than a DVD.

Cloud Computing

Cloud computing is an advanced method for delivering resources by utilizing the internet. This technology has made it possible to access their resources by saving them to a remote database. It eliminates the burden to store files on an external device.

CAD/CAM is well-known software whose main motive is to simply the design and machining process. It is simply collaboration between computers and machines that make the job of the designers as well as manufacturers easier. It is created after decades of research and testing process.

Cryptography

Cryptography is simply a technique for transforming the basic text into unintelligible ones and vice-versa. This amazing process not only gives protection to the data from online theft but also utilized for the user authentication process. It is used commonly in banking and e-commerce industry in various countries globally.

CORBA (Common Object Request Broker Architecture) is a special architecture whose main job is explaining a unique mechanism for better distribution of objects over a certain network. It let them make communication with each other without any platform and language boundary. This specification created by Object Management Group.

Geographic Information System

GIS fully abbreviated as Geographic Information System is an approach that collects, operate, and analyze data in the framework. There are many types of data integrated by this system along with the spatial location. Apart from that, there is lots of information that further visualized with the help of maps and 3D scenes.

Cyber Crime

Cyber crime is a crime form where the computer is utilized as a weapon. It includes things like spamming, hacking, phishing, etc. On top of that, computers are used for stealing personal data of individuals in these types of crimes. Despite the advancement in technology, the frequency of cyber crimes is increasing every year.

Computer Forensics

Computer Forensics is a technique that involve investigation and analysis processes for collecting and saving important pieces of evidence from certain computing equipment. The main use of these data is to present a strong case in the court of law. This process is performed by Forensic Computer Analysts.

Data Warehousing

Data Warehousing is a technique for gathering and controlling data from a great sort of resources with a motive to give useful insights on the business. This technology is used for connecting and analyzing business data so that it gets available to the businesses within a short time.

Database Management System (DBMS)

Database Management System is a special application package whose main motive is defining, manipulating, and controlling data. Due to this process, the developers no longer need to frame programs to maintain data. There are many fourth-generation query languages available on the internet for better interaction in a database.

Direct Memory Access (DMA )

Direct Memory Access is a computing technique used for the transfer of data from RAM in a computer to a different area in the system without CPU processing. In simple words, its main duty is to transfer or get data to or from main memory so that memory operations become faster.

Digital Watermarking

Digital Watermarking is an extensive technique for embedding data into different types of digital forms. It includes audio, video, images, and other similar objects. The majority of digital devices can easily read and detect digital watermarks by validating the original content.

Domain Name System (DNS)

The Domain Name System (DNS) can simply be called phonebook that comes with the information of domain names location is stored for further translation into IP addresses. In simple words, it translates the domain names into IP addresses allowing browsers to load resources on the internet.

Distributed Systems

A distributed system can be called a cluster of computer systems that work in collaboration with each other to look like as a single entity to the end-user. All the computers in the system are connected through a distribution middleware. The main purpose of this system is sharing various resources to the users with a single network.

Nanoparticles

A nanoparticle is a material used for making computer hardware components with a motive to boost the density of solid-state memory. The complete process is performed by followed a process known with the name of nanotechnology. It let the memory consume low power along with reducing chances of failure.

SCADA is a computer technology used for collecting and checking real-time data. It is fully abbreviated as Supervisory Control and Data Acquisition. The main purpose of this application can be founded in the telecommunications, energy, gas refining, and transportation industry.

LAN WAN MAN

LAN (Local Area Network) is a cluster of network devices that are connected with each other in the same building. MAN (Metropolitan Area Network) performs the same job but covers a large area than LAN like a city or town. WAN (Wide Area Network) covers a bigger area than both LAN and MAN.

A black hole is a fascinating object that is located in outer space. They have a very dense nature and a pretty solid gravitational attraction that even light can’t grasp after coming closer to them. Its existence was predicted first by Albert Einstein in 1916.

Distributed denial-of-service attack (DDoS)

Distributed Denial of Service (DDoS) is a DOS attack that includes a variety of compromised systems. It is often related to the Trojan which is a common form of malware. It includes attackers who transmit data to enjoy vulnerabilities harming the business systems.

E-ball Technology

E-Ball is a sphere-shaped computer system that comes with all features of a traditional computer but has a very smaller size. It even comes with a large screen display along with mouse and keyboard. It is designed in such a way that portability gets a great boost.

Enterprise Resource Planning (ERP)

Enterprise Resource Planning is a business modular software that created for integration of major functional areas in the business processes of the company in a unified area. It comes with core software components that are known as modules targeting major areas in businesses that include production, finance, accounting, and many more.

Extreme Programming (EP)

Extreme Programming (XP) is a software development process whose main mission is creating top-quality software matching needs of clients. It is pretty useful where there are software requirements that change on a dynamic basis. Also, this methodology is used in areas where risks result from fixed time projects

Biometric Security System

Biometric Security is a well-known security system that mainly utilized for authenticating and giving access to the company for verification of a person’s characteristics instantly. It is one of the most powerful techniques used for identity verification in various countries globally.

Common Gateway Interface (CGI)

The Common Gateway Interface (CGI) is a detailed specification that shows the way a program interact with an HTTP server. It works as a middleware between external databases and WWW servers. There are particular information and formatting processes performed by CGI software for WWW servers.

Carbon Nano Technology

The carbon nanotechnology is a process to control atom assembly of molecules at certain dimensions. The main material used for this process is Carbon nanobeads.

Middleware Technologies

The middleware technologies are an application that used making a connection between network requests created by a client for back-end data requested by them. It is a very common software used in the software world in both complexes as well as existing programs.

Invisibility Cloaks

Invisibility Cloaks also known as a clocking device is a method for steering light waves near a material to make it look invisible. There is a great role played by the viewer’s eyes and the instrument used on the level of visibility.

Computer Peripheral

A computer peripheral is a device whose main job is adding information and instructions in the system for storing and then transferring the process data to the user or a device that comes under the system’s administration. Some common examples of a computer peripheral are a printer, scanner, mouse, and keyboard.

Mobile Number Portability (MNP)

Mobile Number Portability (MNP) is an advanced level technology using which the mobile phone subscribers can change their cellular operator without changing their number. It was launched in Singapore about two decades ago, but since then expanded to almost every country across the globe. The complete process to change operator is very customer-friendly and easier.

HTML fully abbreviated as Hypertext Markup Language is a computer language that is mainly used for creating paragraphs, headings, links, blockquotes, and sections in a web page or applications. However, it isn’t a programming language and doesn’t come with the desired features for developing dynamic functionality.

Technical Seminar Topics for  CSE

• IP Spoofing
• Mobile Phone Cloning
• Bluetooth Technology
• Mobile Computing
• Pill Camera
• Human Computer Interface
• Software Testing
• Data Mining
• Artificial Neural Network (ANN)
• Wireless Sensor Networks (WSN)
• Wireless Mesh Network
• Digital Light Processing
• Distributed Computing
• Night Vision Technology
• Wireless Application Protocol
• 4G Wireless System
• Artificial Eye
• Asynchronous Chips
• Graphics Processing Unit (GPU)
• Wireless Communication
• Agent Oriented Programming
• Autonomic Computing
• GSM (Global System for Mobile Communications)
• Interferometric Modulator (IMOD)
• Microsoft Surface
• Cryptography and Network Security
• 5G Technology
• FERROELECTRIC RAM (FRAM)
• Object Oriented Programming (OOP)
• Network Topology
• Project Loon
• Storage Area Network (SAN)
• Hybridoma Technology
• Ribonucleic Acid (RNA)
• Cryptocurrency
• Handheld Computers
• Specialized Structured Svms In Computer Vision
• Intel Centrino Mobile Technology
• Digital Audio Broadcasting
• Screenless Display
• Cloud Storage
• IP Telephony
• Microprocessor and Microcontrollers
• Strata Flash Memory
• Gaming Consoles
• The Qnx Real-Time Operating System
• High Performance DSP Architectures
• Tamper Resistance
• MiniDisc system
• XBOX 360 System
• Single Photo Emission Computerized Tomography (SPECT)
• Tactile Interfaces For Small Touch Screen
• Cooperative Linux
• Breaking the Memory Wall in MonetDB
• Synchronous Optical Networking
• Virtual Keyboard Typing
• Optical Networking and Dense Wavelength Division Multiplexing
• Driving Optical Network Evolution
• Low Energy Efficient Wireless Communication Network Design
• Hyper-Threading technology
• Money Pad The Future Wallet
• Remote Method Invocation (RMI)
• Goal-line technology
• Security And Privacy In Social Networks
• Yii Framework
• Digital Preservation
• Optical Storage Technology
• Nvidia Tesla Personal Supercomputer
• Dynamic Cache Management Technique
• Real-Time Task Scheduling
• Session Initiation Protocol (SIP)
• Conditional Access System
• Project Oxygen
• Big Data To Avoid Weather Related Flight Delays
• Operating Systems with Asynchronous Chips
• Predictive Analysis
• Sandbox (computer security)
• Network Address Translation
• Biometrics Based Authentication

Also See: 105+ Technical IEEE Seminar Topics for CSE

Best Seminar Topics for  CSE

• Google Chrome OS
• Google Glass
• Intrusion Detection Systems (IDS)
• Jini Technology
• LAMP Technology
• Mind Reading
• Meta Search Engine
• Nanotechnology
• Network Security
• Operating System
• Restful Web Services
• SDLC  (Software Development life cycle)
• Sixth Sense Technology
• Software Reuse
• Service Oriented Architecture (SOA)
• Steganography
• Search Engine Optimization(SEO)
• Tidal Energy
• UNIX Operating System
• Virtual Private Network (VP N)
• Voice over Internet Protocol (VoIP)
• Wearable Computing
• Holographic Memory
• Data Storage On Fingernail
• Green Computing
• Universal Serial Bus (USB)
• Computer Networks
• Agile Methodology
• Parts of a Computer
• Human Area Network Technology
• Smart Dustbins for Smart Cities
• Open Graphics Library (Open Gl)
• Elastic Quotas
• Java Server Pages Standard Tag Library (Jstl)
• Mobile Computing Framework
• Zenoss Core
• Smart Pixel Arrays
• Local Multipoint Distribution Service
• Nano Computing
• Quantum Cryptography
• Anonymous Communication
• NFC and Future
• Cluster Computing
• Fog Computing
• Intel Core I9 Processor
• Python Libraries for Data Science
• Google Project Loon
• 64-Bit Computing
• Holographic Versatile Disc (Hvd)
• Virtual Instrumentation
• 3G-vs-WiFi Interferometric Modulator (IMOD)
• Compositional Adaptation
• Wireless Networked Digital Devices
• Helium Drives
• Param 10000
• Palm Operating System
• Meteor Burst Communication
• Cyberterrorism
• Location-Aware Computing
• Programming Using Mono Software
• Utility Fog
• Terrestrial Trunked Radio
• Blockchain Technology
• Exterminator
• Internet Telephony Policy in INDIA
• Voice Portals
• The Callpaper Concept
• Google cloud computing (GCP)
• Web Scraping
• Edge Computing
• Compact peripheral component interconnect
• Health Technology
• Smart Card-Based Prepaid Electricity System
• Phase Change Memory – PCM
• Biometrics in SECURE e-transaction
• Wireless Chargers (Inductive charging)
• Bluetooth V2.1
• Virtual Surgery

Also See: 200+ Paper Presentation Topics For CSE

Seminar Topics for BCA, MSC (Computer Science) and M-Tech

• Genetic Engineering
• Grid Computing
• Optical Coherence Tomography
• Google Wave
• Wireless Fidelity(WiFi)
• Online Voting System
• Digital Jewellery
• Random Access Memory (RAM)
• Quantum Computing
• Digital Cinema
• Polymer Memory
• Rover Technology
• E-Paper Technology
• Image Processing
• Online/Internet Marketing
• Google App Engine
• Computer Virus
• Virus and Anti Viruses
• Artificial Intelligence (AI)
• Gi-Fi Technology
• Mobile Jammer
• X-MAX Technology
• Space Mouse
• Diamond Chip
• Linux Operating Systems
• Web Services on Mobile Platform
• Smart Memories
• Client Server Architecture
• Biometric Authentication Technology
• Smart Fabrics
• 3D Internet
• Bio-metrics
• Dual Core Processor
• Wireless Mark-up Language (WML)
• Transactional Memory
• Visible light communication
• MIND READING COMPUTER
• Eye Tracking Technology
• Confidential Data Storage and Deletion
• USB Microphone
• Pivothead video recording sunglasses
• Slammer Worm
• XML Encryption
• Compute Unified Device Architecture (CUDA)
• Integer Fast Fourier Transform
• Extensible Stylesheet Language
• Free Space Laser Communications
• AC Performance Of Nanoelectronics
• Graphical Password Authentication
• Infinite Dimensional Vector Space
• Near Field Communication(NFC)
• Holographic versetail disc
• Efficeon Processor
• Advanced Driver Assistance System (ADAS)
• Dynamic TCP Connection Elapsing
• Symbian Mobile Operating System
• Artificial Passenger
• RESTful Web Services
• Google Chrome Laptop or Chrome Book
• Focused Web Crawling for E-Learning Content
• Tango technology
• Distributed Interactive Virtual Environment
• Place Reminder
• Encrypted Hard Disks
• Bacterio-Rhodopsin Memory
• Zettabyte file System (ZFS)
• Generic Visual Perception Processor GVPP
• Teleportation
• Digital twin (DT)
• Apache Cassandra
• Microsoft Hololens
• Digital Currency
• Intrusion Tolerance
• Finger Reader
• DNA digital data storage
• Spatial computing
• Linux Kernel 2.6
• Packet Sniffers
• Personal Digital Assistant
• Dynamic TCP Connecting Elapsing
• Hyper Transport Technology
• Multi-Protocol Label Switching (MPLS)
• Natural Language Processing
• Self Defending Networks
• Optical Burst Switching
• Pervasive Computing

Top 10 Seminar topics for CSE

1. Embedded Systems

An embedded system can be called a combination of hardware and software that created for a particular function in a system. Some major locations of an embedded system are household appliances, medical devices, industrial machines, vending machines, mobile devices, and many more.

2. Digital Signature

A digital signature can be called an electronic signature used for guaranteeing the authenticity of a digital document. It is a very useful technique that mainly used for validating authenticity along with integrating certain software, a message or a document.

3. 3D Internet

3D Internet is a next level and advanced method where two powerful technologies- the Internet and 3D graphics are combined. The main purpose of this ultra-level technique is providing realistic 3D graphics with the help of internet. Also known as Virtual Worlds, this interactive and engaging system is used by top organizations like Microsoft, Cisco, IBM, etc.

4. Generations of Computer

The generations of computers are the advancement in technology that has resulted in creating lots of computer equipment over the years. There are five generations of computers that include vacuum tubes, transistors, microprocessors, artificial intelligence, and microprocessors.

5. Blue Eyes Technology

Blue Eyes is an advanced technology that created with a mission to develop computational machines with sensory powers. There is a non-obtrusive sensing technique used by this technology with the use of latest video cameras and microphones. In simple words, it is a machine that understands the requirements of users and what he/she needs to see.

6. History of Computers

Many people believe that computers arrived in the business world in the 19 th century, but the reality is the world computer first used in 1613. The earliest form of computers was the tally stick that was just an old memory used for writing numbers and messages. Since then, there are tons of revolutions that resulted in this business that results in the creation of present-day computers.

7. Nanomaterials

Nanomaterials are the chemical materials that are processed at a minimum dimension, i.e., 1-100nm. They are developed naturally and possess physical as well as chemical properties. These materials are used in a variety of industries are cosmetics, healthcare, and sports among others.

8. Search Engine

A search engine is an online software whose main purpose is searching a database having details regarding the query of the user. There is a complete list of results matching perfectly to the query provided by this software. Google is the best example of a search engine.

9. Firewall

Firewall is security equipment whose main aim is having an eye on the incoming and outgoing traffic in the network. Furthermore, it allows or block data packets according to rules set by the security. In a simple definition, we will say it is created for creating a bridge of internet network & incoming traffic with external sources like the internet.

10. DNA Computing

DNA Computing is a method of computations with the help of biological molecules. This technique doesn’t use basic silicon chips that are quite common in other computation processes. It was invented by American Computer scientist Leonard Adleman in 1994 and displayed the way molecules can be utilized for solving computational issues.

List of Latest Technologies in Computer Science

• Plan 9 Operating System
• FeTRAM: A New Idea to Replace Flash Memory
• Cloud drive
• PON Topologies
• Digital Scent Technology
• Integrated Services Digital Network (ISDN)
• Magnetoresistive Random Access Memory
• Cryptography Technology
• Sense-Response Applications
• Blade Servers
• Revolutions Per Minute, RPM
• Secure Shell
• Ovonic Unified Memory (OUM)
• Facebook Thrift
• Chameleon Chip
• Wiimote Whiteboard
• Scrum Methodology
• liquid cooling system
• Smart Client Application Development Using .Net
• Child Safety Wearable Device
• Tizen Operating System – One OS For Everything
• Surround Systems
• Trustworthy Computing
• Design and Analysis of Algoritms
• Digital Media Broadcasting
• Socks – Protocol (Proxy Server)
• Transient Stability Assessment Using Neural Networks
• Ubiquitous Computing
• Snapdragon Processors
• Datagram Congestion Control Protocol (Dccp)
• Graph Separators
• Facebook Digital Currency – Diem (Libra)
• Design And Implementation Of A Wireless Remote
• A Plan For No Spam
• Quantum machine learning
• Pivot Vector Space Approach in Audio-Video Mixing
• Image Guided Therapy (IGT)
• Distributed Operating Systems
• Orthogonal Frequency Division Multiplplexing
• Idma – The Future Of Wireless Technology
• Shingled Magnetic Recording
• Intel MMX Technology
• Data Scraping
• Itanium Processor
• Social Impacts Of Information Technology
• Digital Video Editing
• Wolfram Alpha
• Brain computer interface
• HelioSeal Technology
• JOOMLA and CMS
• Intelligent Cache System
• Structured Cabling
• Deep Learning
• Ethical Hacking on Hacktivism
• Data-Activated Replication Object Communications (DAROC)
• Strata flash Memory
• Controller Area Network (CAN bus)
• USB Type-C – USB 3.1

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It was all about Seminar Topics for CSE with ppt and report (2024). If you feel any problem regarding these seminar topics for computer science then feel free to ask us in the comment section below. Or if you liked it then please share it with your friends on facebook and other social media websites so that they can also take help from it.

108 Comments Already

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Thanks for the comment, I will upload your seminar soon here.

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All These are related to computer science,still there are three more pages on it. https://studymafia.org/technical-ieee-seminar-topics-for-cse-with-ppt-and-pdf-report/ https://studymafia.org/latest-seminar-topics-for-cse/ https://studymafia.org/paper-presentation-topics-for-cse/ Go to these links.

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It will be updated soon 🙂

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We are currently not working on projects.

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hello Final Report for Foreign Students

We invite submissions of high quality and origin reports describing fully developed results or on-going foundational and applied work on the following topics of advanced algorithms in Natural Language Processing: in this topic ( Literature survey of short text similarity.) Reporting requirements: (1) Reports must not less 5 pages and exceed 8 pages, using IEEE two-column template. All papers should be in Adobe portable document format (PDF) format. Authors should submit their paper via electronic submission system. All papers selected for this conference are peer-reviewed and will be published in the regular conference proceedings by the IEEE Computer Society Press. Submissions must not be published or submitted for another conference. The best quality papers presented in the conference will be selected for journal special issues by creating an extended version. (2) No copy of any sentences from published papers. You may get zero score for some detected copy sentence.

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Annual skilled trades competition builds technical and professional skills for Iowa students

• Wednesday, May 1, 2024
• Headline Story

Southeast Polk senior Simon Frohock (R) competed in the cabinet making contest for a second year.

High-quality career and professional skill development took center stage last week as over 600 high school and college students took part in the annual SkillsUSA State Leadership and Skills Conference . Held in Ankeny at the Des Moines Area Community College campus, this two-day competition featured over 50 different leadership and technical competitions for students to test their technical skills and knowledge, explore career pathways and make valuable connections with local industry leaders.

Southeast Polk High School seniors Delvis Kouete and Simon Frohock, both 17, were well-prepared for the competition, which featured timed activities related to industrial technology, carpentry, robotics, automotive repair and job interview techniques, among many others. For this year’s skills competition, Delvis competed in architectural drafting and was a member of the school’s quiz bowl team. Simon, the 2023 state champion in cabinet making, returned for a second year in the cabinet making contest. Both students competed well in their individual competitions, with Delvis placing fifth and Simon serving as this year’s runner-up.

“The skills competition can help you strive for excellence in your work and learning,” Simon said. “Even though it’s a competition and there is pressure to do well, it’s a good, low-risk way to see what an employee in this work has to do every day.”

Both Simon and Delvis noted that the competition not only helps to strengthen a student’s technical skills, but it also engages students in career pathway discovery and professional skill development.

“Being a part of SkillsUSA and competing in the skills competition has helped me learn new skills with my hands and work on teamwork, communication and leadership skills,” Delvis said. “You learn how to work with other people that aren’t like you and get your mind thinking about your future career.”

Along with the individual contests, all competitors at the SkillsUSA State Leadership and Skills Conference were required to submit a resume and take a professional development test that focused on workplace, professional and technical skills as well as overall knowledge of SkillsUSA.

“SkillsUSA helps provide real-world context to the content being taught by classroom educators,” said Kent Storm, state director for SkillsUSA Iowa. “Taking the learning beyond the classroom allows students to grow and learn next to industry partners and gain valuable experience."

As one of Iowa’s career and technical student organizations (CTSO) , SkillsUSA champions the skilled trades industry and provides opportunities for students to apply the skills they have developed in classrooms through conferences, competitions, community service events, worksite visits and other activities.

“Participation in a CTSO like SkillsUSA helps students gain hands-on experience and connect classroom curricula to careers,” said Cale Hutchings, education consultant at the Iowa Department of Education. “Through CTSOs, students can become leaders and strengthen their employability skills, which is valuable as they explore potential next steps in their college and career pathways.”

SkillsUSA boasts a roster of over 400,000 members nationwide. In Iowa, over 1,300 students and advisers in career and technical education programs participate in local SkillsUSA chapters.

At Southeast Polk, 21 student members are a part of their SkillsUSA chapter. Led by industrial technology teachers and chapter advisers Ryan Andersen and Brett Rickabaugh, the students have been involved with several community service projects, employer presentations and opportunities to work closely with instructors.

“Any time a student participates in SkillsUSA, it gives us more time with that student to elaborate on what we’ve learned in class,” Andersen said. “They can connect the idea to the planning, design and completion of a project and how that activity fits into a real career. That’s something we can’t replicate without a CTSO.”

Anderson also stated that students who participate in SkillsUSA and activities like the State Leadership and Skills Conference build confidence through their experiences.

“It really helps students to have the confidence to rely on their skills and what they know,” he said. “The skills competition requires them to use problem-solving skills and build off their knowledge to continue to learn and persevere.”

This year’s first-place winners at the SkillsUSA State Leadership and Skills Conference will move onward to compete with 6,000 other students at the national conference in Atlanta this June.

For Simon and Delvis, the skills competition was another step in building necessary skills and acumen for their futures. Simon, with his penchant for cabinet making, already has a full-time job lined up after graduation with a local cabinet shop. Additionally, Delvis would like to pursue something within the computer science field, perhaps in the coding or software engineering areas, and although he is changing fields, he believes SkillsUSA has helped him feel more prepared for the future.

“It has definitely helped me with skill-building and problem-solving,” he said. “What I’ve learned will be beneficial no matter what I decide to do next.”  

How ‘Computer Science for All’ initiatives affect students’ college and career outcomes

Subscribe to the brown center on education policy newsletter, jing liu , jing liu assistant professor of education policy - university of maryland-college park @drjingliu cameron conrad , and cameron conrad ph.d. candidate - university of maryland david blazar david blazar associate professor - university of maryland @david_blazar.

May 1, 2024

• Thirty states have adopted “CS for All” policies, which require all high schools to offer CS coursework, while eight states have gone a step further in requiring all students to take CS as a high school graduation requirement.
• Exposure to high school CS coursework raises CS BA receipt and improves early-career labor market outcomes.
• Although positive long-run impacts of CS course exposure are stronger for historically underrepresented groups, CS course take-up rates are lower among these students.

As the U.S. economy becomes more digitalized, employment in computer and information technology occupations is projected to grow by 10% in the next decade. In response to this increasing demand for technology skills, many states are working to expand CS learning opportunities across K-12 classrooms. Thirty states have adopted “CS for All” policies, which require all high schools to offer CS coursework, while eight states have gone a step further in requiring all students to take CS as a high school graduation requirement. Despite heightened policy interest in CS access, however, research is surprisingly sparse on how the expansion of CS coursework affects postsecondary and labor market outcomes.

In a recent working paper , we aim to fill this research gap by investigating the impact of the expansion of high school CS course offerings. The State of Maryland, which is the context of our study, has rapidly expanded CS course offerings over the last decade. A 2018 law further requires all Maryland high schools to offer at least one “high-quality” CS course aligned with rigorous K-12 CS standards. These “high-quality” courses include foundational courses such as Computer Science Essentials, AP courses such as AP Computer Science Principles, and more specialized programming courses. They are also closely aligned with Code.org’s definition of “foundational” CS courses.

Using rich longitudinal data from the Maryland Longitudinal Data System (MLDS) Center, our study is among the first that offers causal evidence on how access to these “high-quality” CS courses in high school affects college major choice and early-career earnings. Our research design exploits the fact that high schools adopted CS courses at different points in time. In a nutshell, we compare cohorts of students who were exposed to CS to prior cohorts of students from the same high school that were not exposed to CS. This design allows us to estimate causal impacts of both CS course offering and CS course-taking.

Finding #1: Exposure to high school CS coursework raises CS BA receipt and improves early-career labor market outcomes.

Taking a high school CS course leads to a large, five-percentage-point increase in students’ likelihood of earning a bachelor’s degree in CS. Figure 1 shows the estimated effects of taking a CS course in high school on the likelihood of completing a bachelor’s degree for a selection of subjects. Though only the point estimate on CS majors is statistically significant, the negative coefficients for other STEM fields, social sciences, and humanities suggest students may be switching from these fields into CS.

We also find positive impacts on employment and earnings at age 24: High schools offering high-quality CS courses raise students’ likelihood of being employed by 2.6 percentage points and annual earnings by about eight percent. Importantly, these estimates are based on all students, not just those who pursue CS in their later studies or careers.

These findings on degree receipt are similar in magnitude to prior research on STEM course-taking. For example, one study has found that taking advanced secondary science coursework raises STEM degree receipt for male students by six percentage points. In another study, taking advanced secondary mathematics coursework raises engineering degree receipt by nine percentage points for females. Along with these studies, our study suggests that policies that expand high school STEM offerings can increase degree receipt in related fields.

Finding #2: Effects on CS BA receipt and earnings are similar or larger for students who are historically underrepresented in the CS field.

CS, along with many other STEM fields, have historically been dominated by workers who are white or male, and recent policy efforts have been intended to make CS learning and career options more accessible for all . On receipt of bachelor’s degrees in CS, high school CS course-taking has similar and sometimes even larger effects for females, students from lower socioeconomic status (SES) backgrounds, and Black students relative to peer groups that have been better represented in CS fields historically. For example, taking a CS course raises receipt of CS bachelor’s degrees by seven percentage points for Black students, five percentage points for Hispanic students, and six percentages for white students, which are statistically indistinguishable from each other. The biggest difference comes from subgroup analysis by SES. The effect size is nearly eight percentage points for low SES students, while only two percentage points for their counterparts (though it is not statistically significant).

A striking difference across groups emerges when we look at earnings outcomes. In Figure 2, we plot the impact of CS course-taking in high school on earnings for different student demographic groups. The overall effect is also included for comparison. We find that high schools offering CS coursework increase earnings at age 24 by eight percentage points overall (see Figure 2 below). Even more, when we break these estimates out by different student subgroups, we find these earnings effects are driven by historically underrepresented subgroups, including females, those from low SES backgrounds, and Black students. Together, these findings suggest that exposing students to CS coursework in high school can be an effective approach for increasing the supply of CS degree recipients and professionals in the labor market, with enhanced earnings particularly for historically underrepresented groups.

Finding #3: Although positive long-run impacts of CS course exposure are stronger for historically underrepresented groups, CS course take-up rates are lower among these students.

Given the range of long-run benefits of taking a high school CS course, which student groups are most likely to take advantage of this opportunity? We find that high schools offering CS raises the chance of students taking a CS course by about six percentage points for all students, on average, as not all students end up enrolling in the class when offered. Specifically, CS course take-up increases by about 13 percentage points for Asian students, but only six percentage points for Black students and four percentage points for Hispanic students. The contrast is similarly stark for students at different achievement levels: Based on their prior math achievement, the top 25% of students have an increased CS course-taking rate almost three times higher than that of the bottom 25% of students. We also observe slightly lower CS course take-up rates for females and students from low SES backgrounds compared to their counterparts, but the differences are not statistically significant.

Overall, although underrepresented groups of students benefit from taking a CS course if they enroll, they may be less likely to take on this opportunity compared to their peers. Similar lower participation rates among under-represented groups are also observed in other states and nationally as well. For example, in California , female students are much less likely to take CS despite having similar access relative to male peers. National data also show that male students are more than twice as likely to take CS compared to females. Thus, it is critical to identify and remove the barriers underrepresented students face regarding CS course enrollment.

Rapid expansion of CS courses raises questions about the capacity of schools and teachers to fulfill new requirements.

The number of states requiring all high schools to offer CS coursework has increased from just four states in 2017 to 30 states in 2023. We can also expect more states to follow the existing eight states that have mandated CS courses as a requirement for high school graduation. As Maryland and many other states continue their efforts in expanding CS courses in K-12 schools, this fast growth also raises concerns about whether schools are prepared to implement new CS requirements. In particular, a major bottleneck is the shortages of qualified CS teachers, a challenge also faced by many other countries that try to expand CS education. This is not surprising, given that individuals with CS skills and qualifications often have other highly paid job alternatives.

The limited supply of CS teachers also has implications for the current CS teacher workforce. Our own analysis of Maryland data suggests that most high schools that offer CS courses only have one CS teacher, meaning that they do not have colleagues to do co-planning or to share the challenges they encounter in their CS classrooms. In addition, a large share of Maryland CS teachers teaches out of their certified fields without adequate preparation for the necessary skills needed to teach CS.

These staffing challenges require school systems to concentrate efforts to boost the supply of qualified CS teachers as well as provide support to existing CS teachers to ensure quality CS instruction. States may consider allocating funding to expand traditional and alternative pathways to CS teacher certification. Focusing on professional development that provides training on CS content and pedagogy for existing teachers who will be new to teaching CS may also offer the potential to promote impactful CS instruction.

Taken as a whole, our research offers reasons for optimism about the potential of “CS for All” policies, especially given the positive effects of CS course-taking on CS degree recipients and early-career earnings for underrepresented student groups. However, policymakers must also be mindful of the way course expansion policies are implemented and improve the supply of qualified CS teachers to ensure all students benefit from these opportunities.

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