research
Optimization Theory
Game Theory & Mechanism Design
Privacy & Other Ethical Considerations
Optimization Theory
Game Theory & Mechanism Design
Privacy & Other Ethical Considerations
RECENT PAPERS
Note: All orders are alphabetical (unless otherwise specified), as is the case for theoretical CS venues. Student author(s) will be indicated with (*). [C] indicates peer-reviewed conference papers. [P] indicates preprints and are not peer-reviewed yet.
[P] Fixed Points and Stochastic Meritocracies: When and Why does Unfairness Persist?
(contribution order) Pokharel G*, Sen D*, Das S, Ziani J. (2025). Working paper.
[P] Centralization vs Decentralization in Hiring and Admissions
Fish B, Sen D*, Ziani J. (2025). Under submission. (Preprint)(Poster)
[P] Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality & Uncertainty
Efthymiou V*, Podimata C, Sen D*, Ziani J. (2025). Under submission. (Preprint)(Poster)(Blog Post)
[C] Differentially Private Graph Data Release: Inefficiencies & Unfairness
Fioretto F, Sen D*, Ziani J. AISTATS 2025. (Paper)(Poster)
[C] Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs.
Sen D*, Wang J, Ziani J. Extended abstract at ADT 2024. Full version at IEEE SaTML 2025. (Paper)(Poster)
For a complete list of my publications, please check out my Google Scholar page.
TALKS/POSTERS
[T6] The Price of Differential Privacy in Congestion Games
(Lightning talk) Colloquium of the Georgia Tech Algorithms & Randomness Center. (25 Aug, 2025)
[T5] Incentivizing Desirable Effort Profiles in Strategic Classification
(Poster) ACM Conference on Economics & Computation 2025, Stanford University. (7 Jul, 2025)
(Poster) Workshop on Human-AI Collaboration at ACM EC 2025. (10 Jul, 2025)
(Poster) Midwest Machine Learning Symposium at University of Chicago. (24 Jun 2025)
[T4] Centralization vs Decentralization in Hiring and Admissions
(Talk) INFORMS Annual Meeting 2025 in Atlanta, GA. (26 Oct 2025)
(Lightning Talk + Poster) Junior Rising Stars Workshop at Georgia Tech ISyE. (25 Apr 2025)
(Poster) Information Theory & Applications Workshop (ITA) in San Diego, CA. (12 Feb 2025)
[T3] Equilibria of data marketplaces with privacy-aware sellers under endogenous privacy costs
Talk (virtually recorded) IEEE SaTML 2025 at University of Copenhagen, Denmark. (10 Apr 2025)
(Talk) INFORMS Annual Meeting 2024 in Seattle, WA.
Track - Robust & Ethical Market Design. (22 Oct 2024) (Link)
(Talk + Poster) International Conference on Algorithmic Decision Theory @ DIMACS, Rutgers University. (15 Oct 2024)
[T2] The Cost of Differential Privacy on Graphs
(Poster) AISTATS 2025 at Phuket, Thailand. (04 May 2025)
(Talk) ISyE PhD student seminar. (5 April 2024)
[T1] Two-sided data markets with privacy-aware sellers under endogenous privacy costs
(Talk) INFORMS Annual Meeting 2023 in Phoenix, AZ.
Track - Revenue Management, Online Platforms & Perishability. (15 Oct 2023) (Link)
(Talk) ISyE PhD student seminar. (13 Oct 2023)
ACKNOWLEDGEMENTS
I am deeply grateful to the following people who have positively influenced my life/short academic career:
(In no particular order) Juba Ziani, Parinaz Naghizadeh, Arnob Ghosh, Varun Ramamohan.
Everyone I have worked with in alphabetical order (last name basis):
Srikanth Avasarala, Raef Bassily, Abhishek Bhatnagar, Nomesh Bolia, Sanmay Das, Soham Das, Kate Donahue, Valia Efthymiou, Ferdinando Fioretto, Benjamin Fish, Arnob Ghosh, Kushagra Goyal, Swati Gupta, Jay Mulay, Parinaz Naghizadeh, Chara Podimata, Gaurab Pokharel, Varun Ramamohan, Prasanna Ramamoorthy, Jingyan Wang, Jibang Wu, Haifeng Xu, Juba Ziani.