I am a fourth-year PhD student at
UMass Amherst, working under the guidance of
Professor Shlomo Zilberstein. My research focuses on developing methods for effective communication among decision-making agents, with applications in Planning, Reinforcement Learning, and Multi-Agent Systems.
Currently, I am exploring the use of LLM agents for understanding human intent and generating explainable plans. My broader interests include enhancing collaboration between AI and humans in complex decision-making environments.
You can find my complete CV
here.
News:
- December 2024: A full paper accepted in AAAI 2025.
- December 2023: A full paper accepted in AAMAS 2024.
- December 2023: Passed PhD portfolio with distinction and became a PhD candidate.
Notable Publications:
- Saaduddin Mahmud, Dorian Benhamou Goldfajn, and Shlomo Zilberstein.
Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models (Under Review).
- Saaduddin Mahmud, Mason Nakamura, and Shlomo Zilberstein.
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models (AAAI 2025).
- Saaduddin Mahmud, Sandhya Saisubramanian, and Shlomo Zilberstein.
Verification and Validation of AI Systems Using Explanations.(AAAI Fall Symposium 2024).
- Saaduddin Mahmud, Marcell VazquezChanlatte, Stefan Witwicki and Shlomo Zilberstein.
Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information. (AAMAS 2024).
- Connor Basich*,Saaduddin Mahmud*, and Shlomo Zilberstein.
Learning Constraints on Autonomous Behavior from Proactive Feedback (IROS 2023).
- Saaduddin Mahmud, Sandhya Saisubramanian, and Shlomo Zilberstein.
Explanation-Guided Reward Alignment.(IJCAI 2023). [IJCAI]
- Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, and Shlomo Zilberstein.
Estimating Causal Responsibility for Explaining Autonomous Behavior(EXTRAAMAS-2023 @ AAMAS-2023). [SPRINGER]
- Saaduddin Mahmud*, Connor Basich*, and Shlomo Zilberstein.
Semi-Autonomous Systems with Contextual Competence Awareness(AAMAS 2023). [ACM]
- Saaduddin Mahmud, Sandhya Saisubramanian, and Shlomo Zilberstein.
REVEALE: A Framework for Reward Verification and Learning.(SafeAI @ AAAI-23, Best Paper Award Nomination (Top 4)). [CEUR-WS]
- Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, and Shlomo Zilberstein.
Causal Explanations for Sequential Decision Making Under Uncertainty(AAMAS 2023 (Ext. Abs.) and Under Review for JAIR).
[ARXIV]