Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. - Dezhi Fang; Matthew Keezer; Jacob Williams; Kshitij Kulkarni; Robert S. Pienta; Duen Horng Chau (WWW (Companion Volume), 2017)

Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies. - Kshitij Kulkarni; Sven Neth (CoRR, 2020)

Dynamic Tolling for Inducing Socially Optimal Traffic Loads. - Chinmay Maheshwari; Kshitij Kulkarni; Manxi Wu; S. Shankar Sastry (ACC, 2022)

Improving Proof of Stake Economic Security via MEV Redistribution. - Tarun Chitra; Kshitij Kulkarni (DeFi@CCS, 2022)

Inducing Social Optimality in Games via Adaptive Incentive Design. - Chinmay Maheshwari; Kshitij Kulkarni; Manxi Wu; S. Shankar Sastry (CDC, 2022)

Modeling and Influencing Human Attentiveness in Autonomy-to-Human Perception Hand-offs. - Yash Vardhan Pant; Balasaravanan Thoravi Kumaravel; Ameesh Shah; Erin Kraemer; Marcell Vazquez-Chanlatte; Kshitij Kulkarni; Bjoern Hartmann; Sanjit A. Seshia (ITSC, 2022)

Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers. - Kshitij Kulkarni; Theo Diamandis; Tarun Chitra (CoRR, 2022)

Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. - Chih-Yuan Chiu; Kshitij Kulkarni; Shankar Sastry 001 (CDC, 2023)

Routing MEV in Constant Function Market Makers. - Kshitij Kulkarni; Theo Diamandis; Tarun Chitra (WINE, 2023)

Attacks on Dynamic DeFi Interest Rate Curves. - Tarun Chitra; Peteris Erins; Kshitij Kulkarni (CoRR, 2023)

The Specter (and Spectra) of Miner Extractable Value. - Guillermo Angeris; Tarun Chitra; Theo Diamandis; Kshitij Kulkarni (CoRR, 2023)

Credible, Optimal Auctions via Blockchains. - Tarun Chitra; Matheus V. X. Ferreira; Kshitij Kulkarni (IACR Cryptol. ePrint Arch., 2023)

Credible, Optimal Auctions via Public Broadcast. - Tarun Chitra; Matheus V. X. Ferreira; Kshitij Kulkarni (AFT, 2024)

Understanding the Impact of Coalitions between EV Charging Stations. - Sukanya Kudva; Kshitij Kulkarni; Chinmay Maheshwari; Anil Aswani; Shankar Sastry 001 (CDC, 2024)

The Geometry of Constant Function Market Makers. - Guillermo Angeris; Tarun Chitra; Theo Diamandis; Kshitij Kulkarni; Alex Evans (EC, 2024)

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. - Chinmay Maheshwari; Kshitij Kulkarni; Druv Pai; Jiarui Yang; Manxi Wu; Shankar Sastry 001 (CoRR, 2024)

An Analysis of Intent-Based Markets. - Tarun Chitra; Kshitij Kulkarni; Mallesh Pai; Theo Diamandis (CoRR, 2024)

Adaptive Incentive Design with Learning Agents. - Chinmay Maheshwari; Kshitij Kulkarni; Manxi Wu; S. Shankar Sastry (CoRR, 2024)

Optimal Routing in the Presence of Hooks: Three Case Studies. - Tarun Chitra; Kshitij Kulkarni; Karthik Srinivasan (CoRR, 2025)

vApps: Verifiable Applications at Internet Scale. - Isaac Zhang; Kshitij Kulkarni; Tan Li; Daniel Wong; Thomas Kim; John Guibas; Uma Roy; Bryan Pellegrino; Ryan Zarick (CoRR, 2025)