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I am a Tenure-Track Assistant Professor of Computer Science at the City College of New York and the Graduate Center at the City University of New York, where I pursue research on 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. I received my PhD from the University of Maryland, College Park, where I was advised by Professor John Dickerson and Professor Tom Goldstein.
Until graduating from my PhD, I was also a Student Researcher at Google AI AR, where I advanced state-of-the-art research on Personalizable Proactive Multimodal AI Agents in Augmented Reality (AR) scenarios to improve autonomous planning and reasoning. I was also the lead PhD student RA in a DoD project for Multi-Agent Explainable AI to improve AI trustworthiness.
More about me:
Google X AI Resident, Mountain View, CA, USA HQ, 2023 pursuing research on interpretably learning anomalies for agentic supply chain orchestration
DoGood Fellow in 2022
UMD Dean's Summer Fellow in 2021
Some of my Past Research internships: AI Resident at Google X; CNRS LORIA; INRIA Nancy, France advised by Dr. Claire Gardent, Research Director at CNRS and ACL 2024 Chair and Dr. Laura Perez Beltrachini currently at the University of Edinburgh; German Center of AI (DFKI) Saarbrucken; University of Saarland, Saarbrucken, Germany advised by Prof Josef Van Genabith, Scientific Director and Head of Multilingual Technologies at DFKI and the University of Saarland
Graduated from Penn State in 2020 with my Thesis on Multimodal Computer Vision in Medical Domain advised by Prof. William Evan Higgins, Distinguished Professor of EECS, Pennsylvania State University, University Park
Worked on research projects funded by NSF, NIH, DoD, and ARL
Research focus: Multi-Agent Autonomous Decision-Making in AI
Key research areas in AI Agents: MARL, Imitation learning, Meta learning, Other autonomous decision-making paradigms
Application domains of AI Agents: Climate conservation, Economic applications (e.g., supply chains, stock portfolio optimization), AI model safety and privacy
Current work: Improving explainable AI, Multimodal LLM/VLM/Robotic Agents, Developing libraries to speed up Multi-Agent evolutionary training with JAXMARL, Recommender Systems
Multimodal Deep Learning Focus
Semantic Scene Understanding with Interpretability across text, image, video, audio modes
Human-AI collaboration and Alignment to correct mistakes of humans/other AI Agents
Collaborations with researchers from: Google DeepMind, Carnegie Mellon University, Oxford University, University of Sheffield, Waymo, Meta AI, MIT, prominently with Dr. Jakob Foerster's and Dr. Robert Loftin's groups
Major Publications
AAAI, NeurIPS (ML); AAMAS (AI Agents); EMNLP, ACL (NLP); SPIE (Medical Computer Vision)
I created the AI Agents Seminar Series at UMD in 2022 with 1000+ participants from six continents and prominent speakers from industry and academia, including Turing Award Laureates.
Publications
"Jaxmarl: Multi-agent rl environments in jax" Authors: A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ..., S Bandyopadhyay, et al.
"Interactive visualizations of word embeddings for k-12 students" Authors: S Bandyopadhyay, J Xu, N Pawar, D Touretzky
"Factored neural machine translation on low resource languages in the covid-19 crisis" Author: S Bandyopadhyay
"JaxMARL: Multi-Agent RL Environments and Algorithms in JAX" Authors: A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ..., S Bandyopadhyay, et al.
"UdS-DFKI@ WMT20: Unsupervised MT and very low resource supervised MT for German-Upper Sorbian" Authors: S Dutta, J Alabi, S Bandyopadhyay, D Ruiter, J van Genabith
"Blood vessel segmentation in narrow band imaging bronchoscopic video" Authors: S Bandyopadhyay, V Daneshpajooh, D Ahmad, J Toth, R Bascom, et al.
"Factored neural machine translation at loresmt 2019" Author: S Bandyopadhyay
"Super-resolution and deblurring enhancement for narrow band imaging bronchoscopy" Authors: V Daneshpajooh, S Bandyopadhyay, D Ahmad, J Toth, R Bascom, et al.
"The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021" Authors: S Bandyopadhyay, T Kabir, Z Lian, M Carpuat
"SEMRSA: spectrum efficient modulation-aware dynamic routing & spectrum allocation in elastic optical network" Authors: S Bandyopadhyay, V Dey, M Chatterjee, U Bhattacharya
"Improving question answering with generation of nq-like questions" Authors: S Bandyopadhyay, S Pal, H Zou, A Chandra, J Boyd-Graber
"An online cost-efficient protection scheme for quick recovery in all-optical WDM mesh networks" Authors: V Dey, M Chatterjee, S Bandyopadhyay, U Bhattacharya
"Targets in Reinforcement Learning to solve Stackelberg Security Games" Authors: S Bandyopadhyay, C Zhu, P Daniel, J Morrison, E Shay, J Dickerson
"Natural language response generation from SQL with generalization and back-translation" Authors: S Bandyopadhyay, T Zhao
"Vessel analysis in narrow band imaging bronchoscopic video" Author: S Bandyopadhyay
"Correlation Distance based Information Extraction System at FIRE 2016 Microblog Track" Author: S Bandyopadhyay
"Preventing Deforestation: Modeling and Prediction of Vulnerabilities in Forest Conservation" Authors: S Bandyopadhyay, D Raghunandan, D Sahrawat, J Dickerson
"Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach" Authors: RB Ambati, S Bandyopadhyay, P Mitra
"Thresholding of Histopathological Images of Oral Mucosa for Identification of Precancerous Oral Submucous Fibrosis (OSF) Cells: A Novel Entropy based Approach" Authors: S Bandyopadhyay, S Basu, RR Paul, AK Ray
"Content selection as semantic-based ontology exploration" Authors: L Perez-Beltrachini, C Gardent, A Revuz, S Bandyopadhyay
"Goal-Conditioned Recommendations of AI Explanations" Authors: S Bandyopadhyay, V Agrawal, S Savidge, E Krokos, JP Dickerson
Teaching Service
. Department of Computer Science, University of Maryland, College Park
(a) Graduate Teaching Assistant for CMSC 724 Database Management Systems Spring 2022
(b) Graduate Teaching Assistant for CMSC 470 Natural Language Processing Spring 2021
(c, d) Graduate Teaching Assistant for CMSC 424 Database Design Fall 2020; Fall 2021
Department of Computer Science & Engineering, Pennsylvania State University
(a) Graduate Teaching Assistant for CMPSC 431W, Database Management Systems Spring 2020
(b) Graduate Teaching Assistant for CMPEN 455, Digital Image Processing course Fall 2019
Recent Invited Research Talks
Invited Talk at Google DeepMind A3 Group on Multimodal Multi-Agent Autonomous Decision Making in August 2024
Invited Talks at Google AR Group on Multimodal AI Agents for AR in July and August 2024
Invited Talk at DoD/IC LTS on Multi-Agent Decision Making in AI for Real-World Interdiction on March, 2024
Invited Talk at University of Edinburgh Autonomous Agent Group on Multi-Agent Reinforcement Learning, Speedup and UseCases in April, 2024
Upcoming Invited Talk at Google DeepMind Games Group in October 2024
Invited Talk at Google DeepMind Climate Change Group on AI Agents for Climate Conservation in 2023
Invited Talk at Google Cool Papers Reading Group on Deep Multi-Agent Reinforcement Learning in 2023
Invited Speaker to an open problem session at Microsoft Research-TTIC workshop on “New Models in Online Decision Making for Real-World Applications” at Toyota Technological Institute, Chicago. 2022
Service to AI Research
Member (and Reviewer) of IJCAI 2024, KDD 2024, ACL 2024 Conference Program Committees 2024
Member (and Reviewer) of AAMAS 2023 and AAMAS 2024 Conference Program Committees 2023
Member (and Reviewer) at ICLR 2023 Workshop on AI for Agent-Based Modeling 2023
Member (and Reviewer) at NeurIPS 2022 Workshop on Human-Centered AI Workshop 2023
Reviewer of NLP COVID-19 Workshop (Part 2) @ EMNLP 2020 "
DEI Outreach in AI Research
Mentor of a AI QA research project with students from underrepresented genders at the University of Maryland, College Park, Technica 2021 Research Outreach Hackathon
Mentor of a AI QA research project with BIPOC students at the University of Maryland, College Park Bitcamp 2021 Research Outreach Hackathon
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