Published papers in top conferences such as AAAI, NeurIPS (ML), AAMAS (AI Agents), EMNLP, ACL (NLP), SPIE (Medical Computer Vision); Created the MARL and AI Agents Reading Group at UMD, which has grown to be one of the largest AI Agents Reading Groups in the world, attracting thousands of participants from six continents.
Research Experience
Currently a Tenure-Track Assistant Professor at the City College of New York and the Graduate Center at the City University of New York; Former Student Researcher at Google AI AR, advancing state-of-the-art research on Personalizable Proactive Multimodal AI Agents in Augmented Reality (AR) scenarios; Lead PhD student RA in a DoD project for Multi-Agent Explainable AI to improve AI trustworthiness; AI Resident at Google X, researching interpretable anomaly learning for agentic supply chain orchestration.
Education
Ph.D. from the University of Maryland, College Park, advised by Professor John Dickerson and Professor Tom Goldstein; Graduated from Penn State with a thesis on Multimodal Computer Vision in the Medical Domain, advised by Professor William Evan Higgins.
Background
Research Interests: Artificial Intelligence (AI) Agents and Autonomous Decision Making, with a special focus on Multi-Agent Reinforcement Learning (MARL), Multi-Agent Imitation Learning, Multi-Agent Meta Learning, and Multi-Agent Self-Supervised Learning. Professional Fields: Multimodal Deep Learning, Semantic Scene Understanding, Human-AI Collaboration, etc.
Miscellany
Interests include climate conservation, economic applications (e.g., supply chains, stock portfolio optimization), AI model safety and privacy; Collaborations with researchers from Google DeepMind, Carnegie Mellon University, Oxford University, University of Sheffield, Waymo, Meta AI, MIT, etc.