Srijita Das, Ph.D.

Assistant Professor, Computer and Information Science
Srijita Das
College of Engineering and Computer Science
Computer and Information Science
313-436-9145
228 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
Wednesday 10-12 pm

Teaching Areas:

Computer and Information Science, Data Science, Software Engineering

Research Areas:

Artificial Intelligence, Computational Intelligence, Data Mining, Machine Learning, Optimization, and Intelligent Systems

Biography and Education

Education

Ph.D., The University of Texas at Dallas

M.S., Indiana University, Bloomington

B.Tech., West Bengal University of Technology, Kolkata, India

Teaching and Research

Courses Taught

Selected Publications

  1. Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan, “Active Feature Elicitation: An unified framework”, In Frontiers in Artificial Intelligence, 2023.
  2. Chaitanya Kharyal, Tanmay Sinha, Sai Krishna Gottipati, Fatemah Abdollahi, Srijita Das and Matthew E. Taylor, “Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning”, In Proceedings of Autonomous Agents and Multiagent Systems, AAMAS 2023, in London, UK, May 29 – June 2, 2023.
  3. Su Zhang, Srijita Das, Sriram Ganapathi and Matthew E. Taylor, “Two Level Actor-Critic Using Multiple Teachers”, In Proceedings of Autonomous Agents and Multiagent Systems, AAMAS 2023, in London, UK, May 29 – June 2, 2023.
  4. Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor and Alan Tay, “Augmenting Flight Training with AI to Efficiently Train Pilots”, In Proceedings of AAAI Conference on Artificial Intelligence (demonstration track), AAAI 2023, in Washington DC, USA, February 7 – February 14, 2023.
  5. Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clod´eric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial and Matthew E. Taylor, “WIP: Human-AI Interactions in real-world complex environments using a comprehensive reinforcement learning framework”, In Adaptive & Learning Agents (ALA) Workshop at AAMAS 2023.
  6. Sahir, Ercument Ilhan, Srijita Das, Matthew E. Taylor, “Methodical Advice Collection and Reuse in Deep Reinforcement Learning”, Adaptive & Learning Agents (ALA) Workshop at AAMAS 2022.
  7. Srijita Das, Rishabh Iyer, Sriraam Natarajan, “A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation”, In Proceedings of ACM India Joint International Conference on Data Science & Management of Data, CODS-COMAD 2021, Virtual, January 2 – 4, 2021. (Best Paper Honorable Mention, Research Track).
  8. Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting, “Fitted Q-Learning for Relational Domains”, In International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, Virtual, September 12 – 18, 2020. (accepted as poster paper).
  9. Srijita Das, Rishabh Iyer, Sriraam Natarajan, “Cost Aware Feature Elicitation”, In Knowledge infused mining and learning for Social Impact (KiML) Workshop at KDD, 2020
  10. Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, “On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach”, In Proceedings of International Joint Conference on Artificial Intelligence, IJCAI 2018 in Stockholm, Sweden, July 13 – 19, 2018.
  11. Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea, “Was my message read?: Privacy and Signaling on Facebook Messenger”, In Proceedings of Conference on Human Factors in Computing Systems, CHI 2017 in Denver, USA, May 6 – 11, 2017.
  12. Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea, “Viewing the Viewers: Publishers’ Desires and Viewers’ Privacy Concerns in Social Networks”, In Proceedings of Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2017 in Portland, USA, February 25 – March 1, 2017.
  13. Shirin Nilizadeh, Anne Groggel, Peter Lista, Srijita Das, Yong-Yeol Ahn, Apu Kapadia, Fabio Rojas: Twitter’s Glass Ceiling, “The Effect of Perceived Gender on Online Visibility”, in Proceedings of InternationalL AAAI Conference On Web and Social Media, ICWSM 2016 in Cologne, Germany, May 17 – May 20, 2016.

Awards and Recognition

2021  Best Paper Honorable Mention at CODS-COMAD

2021  Co-organizer of NeurIPS Deep RL Workshop

2019  Women in Machine Learning (WiML) Travel Award