inae best thesis award

INAE invites nominations for Innovative Student Projects Award 2020

The last date for the receipt of nominations is august 31, 2020, indian national academy of engineering (inae), an autonomous institute of the department of science & technology, govt. of india, has invited n ominations for the innovative student projects award 2020..

The nominations are invited for the Innovative Student Projects Award 2020. Projects of students from three categories are eligible for participation -- Final Year (4th year) B.E, B.Tech or B.Sc. (Engg) projects completed up to July 31, 2020, for the academic year 2019-2020, M.E. or M.Tech, M.Sc. (Engg) thesis examined from July 1, 2019, up to July 31, 2020, during the academic year 2019-2020 and Ph.D. thesis examined and accepted/recommended for Award from June 1, 2019, up to May 31, 2020.

INAE instituted the Innovative Student Projects award in 1998 to identify innovative and creative research projects undertaken by the students at any of the three stages of tertiary engineering education, namely undergraduate, post-graduate and doctoral levels in engineering institutions. The award particularly encourages joint projects among industry, research laboratories, and academic institutions. The endeavour is meant to encourage young talent and accord recognition and incentives to them. Though the response to the award during the last twenty-two years has been quite encouraging, the Academy earnestly wishes to reach out to a wider cross-section of the community and profession.

The nominations are required to be sent by Principal, Deans, Heads, Registrar or Director of Engineering College or Institution where the candidate has carried out his project/thesis for the award of degree and not through the organization where the candidate is presently working. The nominations are invited for project/thesis pertaining to the Bachelors's, Masters or Doctoral level from the engineering College/Institutions. The last date for the receipt of nominations is August 31, 2020.

(For further details, interested candidates can visit INAE website www.inae.in and can download nomination forms from the link  https://www.inae.in/innovative-student-projects-award/ )

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Congratulations to Dr. Asha Das

Posted 3 years ago       Comments

Congratulations to Dr. Asha Das for winning National Innovative Student Projects Award 2020 for Best PhD Thesis instituted by Indian National Academy of Engineering( INAE)

Dr. Asha Das has been awarded the Innovative Student Projects Award 2020 for the Best Ph.D. Thesis instituted by the Indian National Academy of Engineering (INAE), New Delhi, for her research in Computer Science. This award was in recognition of her pioneering contributions in the field of cancer diagnosis. The research work is carried out at the Artificial Intelligence & Computer Vision Lab, Department of Computer Science, Cochin University of Science and Technology under the guidance of Prof. Dr. David Peter S and Prof. Dr. Madhu S. Nair.

The Indian National Academy of Engineering (INAE) was founded in 1987 for the promotion of engineering and technological research & development activities of national importance. The academy consists of India’s most eminent and esteemed scientists, engineers, and technologists of various engineering disciplines from different reputable institutions like IISc, IITs, NITs, IIST(Indian Institute of Space Science & Technology), ISRO, DRDO, DAE (Department of Atomic Energy), Department of Space, etc. Innovative Student Projects Award was instituted by INAE in 1998 for recognizing creative and innovative research projects in the field of engineering. It’s competing with many other outstanding research works from mainly IITs, that Dr. Asha Das has secured this award. The award was received for developing an automated breast cancer grading technology harnessing advanced techniques in artificial intelligence and machine learning. Breast cancer, the most commonly diagnosed cancer among women can be detected using mammography and ultrasound scanning techniques. But only through breast tissue biopsy and analysis under high power microscopes by experienced pathologists, we can confirm the presence, type, grade, and malignancy of cancer. Such visual diagnosis, however, is very tedious, time-consuming, and expensive. The technology developed as part of the research work using advanced forms of artificial intelligence (AI) and computer vision can automate the tedious and time-consuming pre-diagnostic steps that pathologists perform manually and can help make diagnosis accurate, reliable, efficient, and cost-effective.

Dr. Asha Das is currently working as Assistant Professor at the Department of Computer Science, Union Christian College, Aluva. She completed her B.Tech graduation from the College of Engineering Adoor and M.Tech in Computer Science from the Department of Computer Science, University of Kerala. She has passed her SSLC matriculation with honors.

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Dr pramitha vayalamkuzhi, inspire faculty.

Indian Institute of Technology Madras

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Co-author - 271, dr. v. pramitha is a dst-inspire faculty in the department of electrical engineering at the indian institute of technology madras, chennai. she teaches electromagnetics and conducts research in the areas of diffractive optics and singular optics. prior to joining as an inspire fellow, she was an institute post doctoral researcher at the department of electrical engineering, iit madras. she was also a visiting scientist at the max planck institute for intelligent systems, stuttgart, germany..

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Cochin University of Science and Technology (CUSAT), Cochin

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Kannur University, India

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Research projects, fabrication of spiral-phase diffractive optical elements by focused ion beam milling, funding agency : department of science and technology (dst), govt. of india.

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Direct patterning of vortex generating diffractive optical elements on fibre tip using a focused ion beam

Funding agency : max planck society, germany, indo-german science & technology centre (igstc/dst), govt. of india.

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Mechanical behaviour of materials, electromigration: fundamentals and constructive applications, in popular media, dipali's videos showcasing some of the works from her thesis., sumit's videos showing electric current induced material flow., a blog article on our research group activities by science writer ms. rajashree noori., santanu's work on electrolithography appeared as showcase article,amongst 74 published on 4th dec 2015, on scientific reports website. (link to paper), santanu's videos showing electromigration induced material flow., santanu's work on "electromigration induced pattern formation of standalone structures at multiple length scales" has appeared as cover page of current science (vol. 108, no. 12) (link to paper), piyush's paper on effect of crystallographic texture on tin whiskering has been selected as editor's choice and made freely available. (link to paper), new mtech (project) students, new phd students, new post-doctoral fellow, best oral presentation, new mtech students, phd thesis defense, mtech (research) thesis defense, new phd student, inae best thesis award, best paper award, new students, student award, new phd student, new mtech student, best presentation award, m.tech. (research) thesis defense, phd thesis submission, new me students, new me student, m.sc. (research) thesis defense, new students, james clerk maxwell prize.

Baheti et al., "Effect of Ni on growth kinetics, microstructural evolution and crystal structure in the Cu(Ni)–Sn system", Phil. Mag. 97 (2017) 1782.

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Arpita Biswas

Arpita Biswas is a CRCS Postdoctoral Fellow at the John A. Paulson School of Engineering and Applied Sciences, Harvard University. Her research focuses on Algorithmic Decision Making and Societal Impact, tackling fairness concerns, resource limitations, and robustness issues. Her broad areas of interest include Algorithmic Game Theory, Optimization, and Machine Learning. Her algorithmic contributions span across a wide range of problems, including fair resource allocation, fairness in machine learning, sequential planning with limited resources, robust intervention planning, and multi-agent learning.

She earned her Ph.D. degree from the Department of Computer Science and Automation (CSA), Indian Institute of Science (IISc). She has been awarded the Best Thesis Prize by the Indian Academy of Engineering (INAE) 2021, Best Thesis Award by the Department of CSA, IISc (2020-2021), and a Google Ph.D. Fellowship (2016-2020).

More details about her can be obtained at https://sites.google.com/view/arpitabiswas/

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