Sankarshan Damle

I am a Postdoctoral Researcher with the FoSSE group at Microsoft Research India, working under the supervision of Dr. Arun Iyer.

Previously, I have worked and studied across academia and research labs:

• Postdoctoral Researcher, Artificial Intelligence Laboratory (LIA), EPFL — with Prof. Boi Faltings (Oct ’24 – Jul ’25)
• Ph.D. in Computer Science, IIIT Hyderabad — advised by Dr. Sujit Gujar (Ripple–IIITH Fellow)
• B.Tech (Honors) in Computer Science, IIIT Hyderabad

My research focuses on fair, private, and strategy-proof mechanism design for multi-agent systems, drawing from machine learning, game theory, and privacy.

Google Scholar · OpenReview · CV

Other Roles

• Microsoft Research India, Intern with Dr. Navin Goyal (Mar–Aug 2024)
• Microsoft Research India, Intern with Dr. Satya Lokam (Apr–Nov 2023)
• TalentSprint, Chief Mentor (Apr 2022–Mar 2023)
• Samsung Research India, Student Trainee (May–Jul 2021)
• EPFL LIA, Visiting Researcher (Mar–Jul 2020)
• HKUST Cybersecurity Lab, Visiting Researcher (Jul–Oct 2019)

News

• [Aug '25] Started Postdoc at MSR India
• [July '25] LLMs for Resource Allocation accepted at ECAI
• [June '25] Adversarial FL work accepted at CFAgentic @ ICML
• [Dec '24] Guest lecture at EPFL on transaction fee mechanisms
• [Oct '24] NeurIPS Workshop papers with MSR India!
• [Oct '24] Started Postdoc at EPFL LIA
• [July '24] Fair Transaction Fees to appear at ECAI
• [Apr '24] AVeCQ accepted at IEEE TDSC
• [Mar '24] Joined MSR India, Bangalore
• [Jan '24] Private Multi-agent Optimization accepted at JAAMAS
• [Dec '23] Three papers accepted at AAMAS'24

Publications

*: Equal contribution

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Talks

• Invited Talk: LLMs for Resource Allocation
  MILA University, (Aug 2025)
  Slides
• Tutorial on Fair and Private Deep Learning
  With Manisha Padala and Sujit Gujar, at ACM CODS-COMAD 2024
  Tutorial Material
• Guest Lecture: Transaction Fee Mechanism Design
  Part of "Intelligent Systems" course @ EPFL (Fall 2024)
  Slides
• Guest Lecture: Intro to Differential Privacy
  Part of "Ethics & Fairness in AI" course @ IIIT-H (2022 & 2023)
  Slides

Ph.D. Dissertation

Title: Designing Game-theoretically Sound, Fair, and Private Multi-agent Systems [PDF]

🏅 Nominated for:
• ACM India Doctoral Dissertation Award 2024
• IKDD Doctoral Dissertation Award 2024

Professional Services

PC Member: WI-IAT, ECAI, IJCAI, IJCAI (AI4G), AAAI, AAMAS, BLOCKCHAIN, GAIW@AAMAS, PPAI@AAAI

Reviewer: ICONIP, IEEE TMC, IJPR, JAIR, NeuroAI@NeurIPS, ContinualFoMo@NeurIPS, LLMReasoning@ICLR

Volunteer: IJCAI 2019, CODS-COMAD 2020, ACML 2022, OAML 2022

Contact

Email: sankarshandamle [at] gmail.com

LinkedIn: linkedin.com/in/sankarshandamle