best thesis award 2023 india

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Results of the National Research Competition for Best Thesis

INYAS is glad to announce the results of the National Research Competition for Best Thesis 2023. After an overwhelming response and tough competition through 2 rounds, the winners have finally emerged in 4 categories.

Congratulations to all the Winners. 

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Pranjal Dutta Chosen as the Recipient of the ACM India 2023 Doctoral Dissertation Award

December 30, 2023.

The ACM India 2023 Doctoral Dissertation Award goes to Pranjal Dutta for his dissertation titled “A Tale of Hardness, De-randomization and De-bordering in Complexity Theory.” Dutta’s dissertation makes breakthrough contributions in the study of hardness, approximation and derandomization of algebraic circuits, and develops new mathematical tools, laying the foundation for future developments in algebraic complexity theory. Dutta's dissertation work was done at Chennai Mathematical Institute under the supervision of Prof. Nitin Saxena.

Dutta’s dissertation makes multiple contributions to algebraic complexity theory. In an early result, he shows that the existence of a polynomial with a slightly largish special representation would resolve the long-standing VP vs VNP problem, and also provide non-trivial algorithms for polynomial identity testing (PIT) – effectively attacking two flagship problems in algebraic complexity theory. In the context of PIT, his dissertation provides a nearly polynomial time algorithm for derandomization of a special class of depth 4 algebraic circuits, where the top fanin is bounded and the bottom gates compute low degree polynomials. This is among the strongest results in PIT known so far. Dutta also provides a deep understanding of the power of closure of algebraic circuits -- an important problem in the Geometric Complexity Theory approach to the P vs NP problem. Specifically, he shows that the closure (or border) of (bounded fanin) depth 3 circuits can be captured by algebraic branching programs, making it one of the first such "de-bordering" results in this area. Additionally, his work also establishes an efficient algorithm for PIT for this class, and shows a surprising exponential-gap hierarchy-theorem for depth-3 constant-top-fanin circuits.

The Honorable Mention for 2023 goes to Jogendra Nath Kundu for his dissertation titled “Self-supervised Domain Adaptation Framework for Computer Vision Tasks.” Kundu's dissertation makes significant and timely contributions to unsupervised domain adaptation and self-supervised learning techniques for structured prediction based vision tasks, advancing the practical deployment of intelligent machines in real-world scenarios. His dissertation work was done at Indian Institute of Science, Bangalore under the supervision of Prof. Venkatesh Babu Radhakrishnan.

Kundu’s doctoral dissertation makes three important contributions. First, he considers image-like dense-prediction tasks, where he addresses shortcomings in existing classification-based domain adaptation algorithms. The content-preserving mechanisms introduced by him via cyclic consistency objectives have been shown to yield state-of-the-art performance. Next, he introduces source-side procurement stage learning, a novel approach to source-free adaptation, which significantly enhances adaptability in scenarios with restricted data-sharing. Finally, Kundus thesis applies domain adaptation concepts to the complex task of 3D human pose estimation. He shows how this can be achieved by incorporation of effective prior-enforcing mechanisms alongside development of novel self-supervised techniques leveraging inter-entity relations. The insights in Kundu's dissertation have the potential to revolutionize the deployment of intelligent vision systems across diverse industries, from healthcare to virtual and augmented reality.

The ACM India Doctoral Dissertation Award was established in 2011. This award recognizes the best doctoral dissertation in Computer Science and related disciplines from a degree-awarding institution based in India for each academic year, running from July 1 of one year to June 30 of the following year. The ACM India Doctoral Dissertation Award is accompanied by a prize of ₹2,00,000. An Honorable Mention award, given to nomination(s), if any, that missed the award by a narrow margin, is accompanied by a prize of ₹1,00,000, that is shared among the recipient(s). The winning dissertation(s) will be published in the ACM Digital Library. Tata Consultancy Services Limited (TCS)    is the founding sponsor of these awards. Please see the ACM India Doctoral Dissertation Award page  for additional information on current and past winners.

Please join us in congratulating Pranjal Dutta and Jogendra Nath Kundu for their significant achievements.

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• ACM India Doctoral Dissertation Award

Call for Nominations: ACM India Doctoral Dissertation Award 2024

How to Nominate

Call for Nominations ACM India Doctoral Dissertation Award 2024   (For dissertations defended between July 1, 2023 and June 30, 2024) To Be Awarded During the ACM India Annual Event in February/March 2025

The ACM India Doctoral Dissertation Award was established in 2011 by ACM India Council. This award recognizes the best doctoral dissertation(s) in Computer Science and Engineering from degree-awarding institutions based in India for each academic year. The ACM India Doctoral Dissertation Award is accompanied by a prize of ₹2,00,000. An honourable mention award, if any, is accompanied by a prize of ₹1,00,000, shared equally by recipients (if more than one). The winning dissertation(s) will be published by ACM, including distribution through the ACM Digital Library. Tata Consultancy Services is the founding sponsor for this award.

Eligibility

Each PhD granting institution based in India can normally nominate one student for the award. Institutions that produce more than 10 dissertations in relevant areas per year can nominate two students. Each dissertation nominated for the 2024 award must have been defended successfully between July 1, 2023 and June 30, 2024 .

Nominations must be received by 11 pm August 31, 2024 Indian Standard Time to qualify for consideration of the 2024 award.

Publication and Copyrights

Winning dissertations will be published in the ACM Digital Library. Each nomination must be accompanied by an assignment to ACM by the author of exclusive publication rights, as per ACM's copyright policies. Copyright will automatically revert to an author if her/his dissertation is not selected.

Nomination Procedure

The following instructions must be strictly adhered to, failing which, a nomination is likely to be desk-rejected.

• Candidates with a PhD degree completed from CS/CSE or allied disciplines are eligible to be nominated, subject to the clause of maximum number of nominations coming from any institute.
• The nominator must be the primary dissertation advisor of the nominee.
• The nominator must indicate whether they are aware of any action committed by the nominee that violates the ACM Code of Ethics  and ACM’s Core Values before confirming. Please see the Policy for Honors Conferred by ACM .
• Each nomination must include a single zip file named NomineeName.zip , where NomineeName is the nominee’s full name, including first name, middle initial (if any) and last name (if any). For example, if the nominee’s name is Akbar K. Sharma, the zip file should be named AkbarKSharma.zip.

In order to create the zip file, first create a folder/directory named NomineeName (e.g. AkbarKSharma in the above example), then place all of the following files in it , and finally zip the folder/directory to create NomineeName.zip.

i. A PDF file named nomination.pdf containing a nomination letter by the primary dissertation advisor. This letter must include:

• The name, address, phone number and email address of the primary thesis advisor and co-advisors (if any)
• The name, mailing address and email address of the candidate
• A one-page (200-300 words) nomination statement addressing why the nominee deserves to receive the award. This should address the significance of the dissertation, not simply replicate the information in the abstract.
• Suggested citation if the nominee is selected. This should be a concise statement ( maximum of 25 words ) describing the key technical or professional accomplishment for which the nominee merits this award. Note that the final wording for awardees will be at the discretion of the Awards Committee.

ii. A PDF file named endorsement.pdf containing an endorsement letter by the department head or a suitable substitute (in case the department head is an advisor/co-advisor of the nominee or has a conflict of interest with the nominee).

iii. At least three, and not more than five, PDF files named supporting_letter_1.pdf, supporting_letter_2.pdf etc., each containing a supporting letter from an expert in the field who can provide additional insights or evidence of the dissertation’s impact.

The following must be strictly adhered to for supporting letters.

• The primary advisor or co-advisors (if any) of the nominee may not write a supporting letter
• Dissertation review/evaluation forms or referee reports for dissertations do not qualify as supporting letters
• A supporting letter must explicitly mention that it is supporting the nomination for ACM India Doctoral Dissertation Award 2024
• Each letter must include the name, address, email address and telephone number of the supporter

iv. A PDF file named dissertation.pdf containing one copy of the dissertation in electronic format.

v. A PDF file named publications.pdf containing a record of publications in conferences and journals of the work reported in the dissertation, along with their citations, if any.

vi. A PDF file named copyright.pdf containing a copyright licensing form available at (https://www.acm.org/binaries/content/assets/india/acm-publishing-license-agreement.pdf) filled out by the candidate and assigning licensing rights to ACM. Copyright will revert to the author if the nomination is not selected for publication.

Mode of Submission

Nomination material must be submitted electronically by the primary dissertation advisor (not the nominee). Supporting letters must not come directly from the supporters, but must be included in the zip file as indicated above. All necessary material listed in points (i) through (vi) above must be collected and submitted by the primary dissertation advisor, bundled as a zip file. The zip file must be uploaded at: https://cmt3.research.microsoft.com/ACMIndiaAwards2024. Please choose “ACM India Doctoral Dissertation Award” track, fill in all required information in the online nomination form, and upload the zip file named NomineeName.zip at the above CMT site.

Selection Procedure

Dissertations will be reviewed for technical depth and significance of the research contribution, potential impact on theory and practice, and quality of presentation. An independent committee of eminent Computer Science researchers from across the world will perform an initial screening to generate a short list, followed by an in-depth evaluation to determine the winning dissertation. The decision of the committee will be final and binding.

For further queries on the ACM India Doctoral Dissertation Award, contact: [email protected] .

Awards Registration link:

Prof. Kusum Deep, Department of Mathematics, Indian Institute of Technology Roorkee is pleased to announce an annual award called “ KUSUM DEEP BEST PhD THESIS AWARD ” on the occasion of her lifetime contributions towards research.  The Award consists of a plaque, a certificate, and cash prize. The award will be announced during the International Conference on Soft Computing for Problem Solving (SocProS), which is an annual event since 2011. OBJECTIVE

This Award is initiated in 2023 to encourage and motivate researchers to pursue a career in Soft Computing / Optimization / Operations Research / Artificial Intelligence / Data Science and other allied areas. 

This year’s award will be announced during 12 th International Conference on Soft Computing for Problem Solving (SocProS 2023) to be held at IIT Roorkee during August 11-13, 2023.

ELIGIBILITY FOR KUSUM DEEP BEST PhD THESIS AWARD 2023

PhD Degree must have been awarded during: January 1 st , 2022 till date

The applicant must be a full-time registered candidate in any University in India or abroad.

REGISTRATION FEE

INR 2,000/- Degree recipients from Indian Universities/Institutes

USD 30/- Degree recipients from Foreign Universities/Institutes

HOW TO APPLY

The following documents should be emailed to: [email protected]

• Proof of award of PhD Degree
• Proof of Registration and payment of fees
• Complete Thesis (in pdf)
• List of publications, patent related to Thesis
• NOC from the Supervisor

The last date for submitting the documents for this year’s award is June 30th, 2023.

• There will be a best paper award for every parallel session
• “ Best Application Paper Award” in line with the Theme of the Conference, i.e. “Moving Towards Society 5.0”.
• “ Best Student Paper Award” for papers in which first author is a research scholar / UG / PG student from any University within India or abroad.
• “The awarded papers will be get a Springer voucher worth 200 Euro (award letter) for purchasing e-books from Springer's website."

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Best PhD Thesis Award

Dear Colleagues,

As the Editor-in-Chief of Processes , it is my great pleasure to announce the winner of the 2023 Best PhD Thesis Award. This award is for a PhD student or recently qualified PhD who has produced a highly anticipated thesis with great academic potential.

The award has been granted to:

“Harnessing Bioelectrochemical Systems for Sustainable Agriculture” by Shuyao Wang, McGill University, Canada The winner will receive CHF 500, a certificate and a chance to publish a paper free of charge after peer review in Processes in 2024.

On behalf of the evaluation committee, I congratulate the winner on their accomplishments. We would like to take this opportunity to thank all the applicants for submitting their exceptional theses and thank the Award Committee for voting and helping with this award.

Prof. Dr. Giancarlo Cravotto Editor-in-Chief, Processes

Award Committee

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