Winner
IKDD congratulates Sravanti Addepalli (IISc Bangalore) for enhancing the robustness of Deep Neural Networks against adversarial attacks and distribution shifts while addressing practical deployment challenges.
Runner-Up
IKDD congratulates Yatin Nandwani (IIT Delhi) for significant theoretical and empirical advancements in the space of deep learning with structured output constraints.
Runner-Up
IKDD congratulates Abhijeet Awasthi (IIT Bombay) for contributions to data-efficient NLP, including methods for efficient supervision, synthetic data generation and learning with limited labeled data.
This annual award launched by IKDD in 2022, recognizes the best doctoral dissertation(s) in the broad areas of Data Science, Artificial Intelligence, Machine Learning, Data Mining, Knowledge Discovery and applications of Data-driven techniques. The IKDD Doctoral Dissertation Award winner and (at most two) runners-up will be recognized at the annual CODS-COMAD conference, and their dissertations will be published on the IKDD Web site (https://ikdd.acm.org/). The award winner will receive a plaque and a cheque for INR 1,00,000. The runners-up will receive a plaque and a cheque of INR 50,000. The winner and runners-up will also receive a free registration to attend the CODS-COMAD conference and will be invited to receive the award in a special session at the conference.
Nominated candidates must be from a PhD granting institute in India. Further, the nominated candidate should have successfully defended his/her thesis between August 31, 2023 and August 31, 2024 (i.e., in the period between last year’s deadline and this year’s deadline for application).
Important: Every PhD granting institute in India will be allowed to nominate 1 candidate from across all disciplines working in relevant areas. Institutes that produce more than 10 dissertations in relevant areas during the one year period under consideration can nominate 2 students. Institutes should self-declare in case they are nominating 2 students and furnish supporting evidence.
Nominations must be made by the doctoral advisor. All nomination materials must be in English and in PDF format. Late submissions will not be accepted. A nomination must include:
The dissertation can be nominated in parallel for other national and global awards, such as the ACM, the ACM India and the SIGKDD Doctoral Dissertation awards.
All nomination materials must be submitted using this Easy Chair link. All required documents must be uploaded as a zip file.