About Me
Work Experience :
AI Researcher
Sony, Japan (October 2023 - Present)
Conducting research and development primarily focusing on reinforcement learning for projects that apply the technologies to business activities such as marketing, promotion, and customer service.
Salesforce Developer
Persistent Systems Limited, Nagpur (17th June 2015 -1st June 2017)
Project –Optum One Care Coordination for United Health Group (Healthcare management system using salesforce service cloud.)
Internships :
Warwick Manufacturing Group, The University of Warwick
16th July - 15th Sept 2018 (2 months)
Project - Exploring AI-based techniques to create test scenarios by learning from the system's output to drive the vehicle under test to reach or breach it’s safe working boundaries.
IBM Extreme Blue Intern, IBM Indian Systems Development Lab, Pune
11th May -14th July 2018 (2 months)
Project – Cross Border Data Flow Governance in Spectrum Scale (Clustered File Systems) leveraging Deep Learning Techniques.
Publications
J1. Hierarchical Program-Triggered Reinforcement Learning Agents for Automated Driving, B Gangopadhyay, H Soora, P Dasgupta, July 2021 IEEE Transactions on Intelligent Transportation Systems PP(99):1-10
URL: https://ieeexplore.ieee.org/document/9497870/
J2. Briti Gangopadhyay, Somnath Hazra, Pallab Dasgupta, Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep-learning based computer vision, Pattern Recognition Letters, Volume 152, 2021, Pages 143-149,
J3. B. Gangopadhyay, P. Dasgupta and S. Dey, "Safe and Stable RL (S2RL) Driving Policies Using Control Barrier and Control Lyapunov Functions," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3160202.
C1. Identification of test cases for automated driving systems using Bayesian optimization B Gangopadhyay, S Khastgir, S Dey, P Dasgupta, G Montana, P Jennings 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1961-1967
URL: https://ieeexplore.ieee.org/document/8917103
C2. B. Gangopadhyay, V. Jetla, S. R. Patil, H. Pancha, K. Gildea and C. Zetie, "Cross Border Data Flow Governance in Storage Cloud Leveraging Deep Learning Techniques," 2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), Bangalore, India, 2018, pp. 17-22.
doi: 10.1109/CCEM.2018.00012
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8648641&isnumber=8648617
C3. Counterexample Guided RL Policy Refinement Using Bayesian Optimization, B Gangopadhyay, P Dasgupta
Advances in Neural Information Processing Systems 34 2021
C4. B. Gangopadhyay, S. Vishnoi and P. Dasgupta, "Refinement Of Reinforcement Learning Algorithms Guided By Counterexamples," 2022 IEEE Women in Technology Conference (WINTECHCON), 2022, pp. 1-6, doi: 10.1109/WINTECHCON55229.2022.9832063.
C5. Gangopadhyay, B., Dasgupta, P., & Dey, S. (2023). Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16212-16213. https://doi.org/10.1609/aaai.v37i13.26966
C6. Gangopadhyay, B., Dasgupta, P., & Dey, S. (2023, May). Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (pp. 1606-1614).
I1. Semi-Lexical Languages--A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision B Gangopadhyay, S Hazra, P Dasgupta arXiv preprint arXiv:2004.12152
Awards and Accolades
Winning Blog Maitreyee link
Confered TCS Research Scholarship Cycle 16 July 2020 (for 4 years)
Qualcomm Innovation Fellowship Finalist 2020
Recieved Institute Silver Medal (IIT Kharagpur) for being top in order of Merit in M.Tech 2019
Recieved MHRD scholarship as Joint Mtech PhD 2019
Award for being best in order of merit in B.Tech Computer Science Department Brainware University (2011-2015)
Teaching Assintatntship, Delivered Talks and Academic Activities
Course/ Talks Semester Organisation
CS6005 Artificial Intelligence Autumn 2021 IIT Kharagpur
Demystifying Artificial Intelligence(talk) June 2021 INS Dronacharya
Formal Systems (CS60030) Spring 2021 IIT Kharagpur
CS6005 Artificial Intelligence Autumn 2020 IIT Kharagpur
PDDL Demonstration(talk) Autumn 2020 IIT Kharagpur
Formal Methods for Safe RL(talk) Spring 2020 IIT Kharagpur
Formal Systems (CS60030) Spring 2020 IIT Kharagpur
Paper Presented Autumn 2019 ITSC Conference
Paper Prensented Autumn 2018 CCEM Conference
Embedded System Design Autumn 2018 NPTEL
Academic Reviewer
NeuRIPS 2024 (Conference)
TPC AutoMLPerSys 2024 (Workshop) link
ICML 2024 (Conference) link
AAAI 2023 - 2024 (Conference) link
IJCNN (Conference)
EMSOFT (Conference)
Intelligent Transportation Systems Conference
Embedded System Letters (Journal)
IEEE Transactions on Intelligent Transportation Systems (Journal)
IEEE Transactions on Instrumentation and Measurements (Journal)
IEEE Transactions On Systems Man Cybernetics-Systems (Journal)
Projects :
Learning representation of nodes in a signed social network:
Description - Developing a new embedding algorithm using status vector similarity among the nodes with the help of symmetrical deep autoencoders. (https://github.com/britig/Node_Embeddings).
Depression Monitoring System:
Description - An android application analyses the daily activities of an user using accelerometer data along with other parameters such as location, exposure to light etc. Based on the data collected over a period of time the application predicts the depression level of user. (https://github.com/britig/Depression_Monitoring).
Contact Address :
Formal Methods Research Lab (CSE 118)
Department of Computer Science and Engineering
Indian Institute of Technology, Kharagpur
West Bengal, India - 721302