Ayan Mukhopadhyay

Ayan Mukhopadhyay

Research Scientist,
Vanderbilt University

Professional Services and Teaching

Peer-reviewed Conferences and Workshops

  1. Conference on Neural Information Processing Systems, 2021 (NeurIPS) (Reviewer)
  2. Workshop on Data-Driven and Intelligent Cyber-Physical Systems at CPS-Week, 2021 (DI-CPS) (Chair and PC Member)
  3. Workshop on Autonomous Agents for Social Good Workshop at AAMAS, 2021 (PC Member)
  4. AAAI Conference on Artificial Intelligence, 2021 (AAAI) (PC Member)
  5. Conference on Autonomous Agents and Multi-Agent Systems, 2021 (AAMAS) (PC Member)
  6. AI for Social Good 2020 (PC Member)
  7. Bay Area Machine Learning Symposium, 2020 (BayLearn) (Reviewer)
  8. Conference on Autonomous Agents and Multi-Agent Systems, 2018 (AAMAS) (OC Member)
  9. Opt-Mas at AAMAS-20 (PC Member)
  10. Conference on Autonomous Agents and Multi-Agent Systems, 2019 (AAMAS) (Reviewer)
  11. Conference on Autonomous Agents and Multi-Agent Systems, 2017 (AAMAS) (Reviewer)
  12. International Joint Conference on Artificial Intelligence, 2018 (IJCAI) (Reviewer)
  13. AAAI Conference on Artificial Intelligence, 2021 (AAAI) (Reviewer)
  14. Conference on Decision and Game Theory, 2018 (GameSec) (Reviewer)
  15. Conference on Decision and Game Theory, 2017 (GameSec) (Reviewer)
  16. ACM Conference on Economics and Computation, 2018 (EC) (Reviewer)


Peer-reviewed Journals

  1. Journal of Disaster Risk Reduction (Reviewer)
  2. Artificial Intelligence Review (Reviewer)
  3. IEEE Access (Reviewer)
  4. IEEE Transactions on SMC: Systems (Reviewer)
  5. Journal of Machine Learning (Reviewer)


Invited Talks, Panels, and Tutorials

  1. "Multi-Agent Systems for Emergency Response." Los Alamos National Laboratory Seminar Series. Invited Talk. Slides.
  2. Stanford University CS+Social Good Impact Lab Panel 2021. Invited Panel.
  3. "Smart Emergency Response", NSF Doctoral Consortium on Computational Sustainability, 2020 (CompSust-DC). Tutorial Talk. Video.
  4. "Robust Incident Forecasting and Response", University of Utah Data Science Seminar 2020. Invited Talk. Video.
  5. "Robust Incident Forecasting for Conservation", University of Cambridge Environmental Data Science AI4ER Seminar Series 2020. Invited Talk. Video.
  6. "Transition to Research and Doctoral Programs", Stanford University CS+Social Good Impact Lab Panel 2020 (Invited Panel)
  7. "Intelligent Emergency Response", Center of Automotive Research at Stanford Annual Symposium 2019 (Invited Talk)


Others

  1. Member, Stanford Energy Systems Committee 2020
  2. Technical Mentor, Stanford CS+Social Good Impact Lab 2020


Teaching

  1. Guest Lecturer, AI and Society (Under-Graduate Level), Washington University in St.Louis, 2020.
  2. Teaching Assistant -- Machine Learning (Graduate Level), Vanderbilt University, Fall 2017)
  3. Teaching Assistant -- Artificial Intelligence (Under-Graduate/Graduate Level), Vanderbilt University, Fall 2016)