[Apr 2024] Paper led by PhD student Faisal Hamman accepted at Journal on Selected Areas in Information Theory 2024.
[Apr 2024] Paper led by PhD student Faisal Hamman accepted at ISIT 2024.
[Apr 2024] Talk at Values-Centered AI (VCAI) seminar series at UMD!
[Feb 2024] Talk at ITA 2024!
[Feb 2024] Paper accepted at TMLR.
[Jan 2024] Paper led by PhD student Faisal Hamman accepted at ICLR 2024.
[Jan 2024] Area Chair at FACCT'2024!
[Jan 2024] Received the NSF CAREER Award.
[Sep 2023] Our work is featured in Montreal AI Ethics Brief.
[July 2023] Invited talk at Math Machine Learning Seminar MPI MIS + UCLA.
[July 2023] PhD student Faisal Hamman presents at ICML 2023.
[June 2023] PhD student Faisal Hamman presents at FACCT 2023.
[June 2023] Thanks to Northrop Grumman for supporting our research.
[May 2023] Invited talk at Simons Institute Workshop on Information-Theoretic Methods in Trustworthy Machine Learning.
[April 2023] Six paper acceptances this month respectively at ICML 2023, FACCT 2023, AIES 2023, UAI 2023, TMLR, and Entropy!
[April 2023] Invited talk at Penn State.
[March 2023] Invited talk at CISS Conference.
[Dec 2022] PhD student Faisal Hamman presents a paper at the Algorithmic Fairness through the Lens of Causality and Privacy Workshop at NeurIPS 2022.
[Oct 2022] Invited talk at INFORMS!
[Aug 2022] Paper at ACM Multimedia 2022.
[Aug 2022] Started as an assistant professor at UMD. Thanks to UMD for the warm welcome!
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[Jul 2022] Paper on Robust Counterfactuals at ICML 2022.
[Mar 2022] Talk at Simons Institute.
[Mar 2022] Paper at AAAI-22 Workshop on Information-Theoretic Methods for Causal Inference and Discovery.
[Jan 2022] Attending Simons Institute Program on Causality.
[Dec 2021] Paper on Information Flows at NeurIPS 2021.
[Oct 2021] Survey paper on Robustness of Explanations in XAI Workshop on AI in Finance (ICAIF 2021).
[July 2021] Paper on Slow and Stale Gradients accepted at IEEE Journal on Selected Areas in Information Theory.
[July 2021] Paper on Fairness Under Feature Exemptions accepted at IEEE Transactions on Information Theory. [Arxiv]
[May 2021] Grateful to receive the A G Milnes Outstanding Thesis Award.
[Apr 2021] Talk at JP Morgan Chase AI Research.
[Mar 2021] Talk at University of Maryland.
[Mar 2021] Talk at University of Michigan.
[Mar 2021] Talk at University of Southern California.
[Feb 2021] Microsoft Rising Stars Talk.
[Feb 2021] Talk at Harvard University.
[Feb 2021] Fair February, Brown University.
[Jan 2021] Talk at Data Science Seminar, University of Utah.
[Jan 2021] Talk at Microsoft Research.
[Aug 2020] Received the CMU Cylab Presidential Fellowship.
[July 2020] My recent work on accuracy-fairness trade-off featured in New Scientist.
[June 2020] Paper on accuracy-fairness trade-offs accepted at ICML 2020.
[June 2020] Talk at Women in Data Science mini-symposium in SIAM Conference on Mathematics of Data Science 2020.
[Apr 2020] My recent work on fairness with feature exemptions featured in CMU Engineering News.
[Apr 2020] Invited talk at Google Research.
[Mar 2020] Invited talk at Experian Labs.
[Nov 2019] Paper titled "An Information-Theoretic Quantification of Discrimination with Exempt Features" accepted for ORAL PRESENTATION at AAAI 2020.
[Aug 2019] Talk at IBM Research: "Is there a trade-off between Accuracy and Fairness?"
[July 2019] Received the K&L Gates Presidential Fellowship in Ethics and Computational Technologies.
[June 2019] Presented my work on Coded Neural Networks at the ICML CodML Workshop 2019 (Spotlight).
[May 2019] Two journals accepted for publication at the IEEE Transactions on Information Theory.
[Apr 2019] Received the Axel Berny Graduate Fellowship.
[Aug 2018] Talk at the Modeling and Optimization: Theory and Applications (MOPTA) conference at Lehigh University, Bethlehem, USA: "Reliable Machine Learning Using Unreliable Components: Error-Runtime Trade-offs in Distributed SGD"
[June 2018] Presented my paper on Generalized PolyDot Codes at ISIT 2018.
[Apr 2018] Talk at the University of Helsinki, Finland: "Reliable Machine Learning Using Unreliable Components"
[Apr 2018] Presented my paper on Error-Runtime Trade-offs in Distributed SGD at AISTATS 2018.
[Oct 2017] Our work on "MatDot and PolyDot codes" was presented at Allerton 2017.
[June 2017] Talk at IBM Research: "Reliable Machine Learning Using Unreliable Components"
[June 2017] Presented my paper on Coded Convolutions at ISIT 2017.
[Mar 2017] Received the Tan Endowed Graduate Fellowship.
[Dec 2016] Second trip to Barcelona this year! Presented my paper on Short-Dot codes at NeurIPS 2016.
[July 2016] My first ISIT (at Barcelona)! Presented my paper titled "Adaptivity provably helps: information-theoretic limits on L-0 cost of non-adaptive sensing" at ISIT 2016.
[Mar 2016] Received the Prabhu and Poonam Goel Graduate Fellowship.
[Aug 2015] Excited to be a part of Prof. Pulkit Grover's research group at CMU!
Undergraduate:
[Aug 2015] Best Project Award and Nilanjan Ganguly Memorial Award for Best Undergraduate Thesis at IIT Kharagpur.
[Jan 2015] First Prize in ANADIGIX 2015, a circuit designing contest in KSHITIJ, Tech Fest, IIT Kharagpur.
[Jan 2014] HONDA Young Engineer and Scientist Award (YES Award).
[Jan 2014] MITACS Globalink Research Award.
[Jan 2014] Was offered DAAD WISE Scholarship.
[June 2011] Special Mentions in the nation-wide engineering entrance examinations (IITJEE, AIEEE, WBJEE).
[June 2011] Qualified the entrance examination of Indian Statistical Institute (ISI), 2011.
[May 2011] Kishore Vaigyanik Protsahan Yojana (KVPY) Fellowship from the Government of India.
[Dec 2010] Qualified the Regional Mathematical Olympiad (RMO).