Snehasis Mukhopadhyay
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
96
Citations
1,299
Est. group size
—
Recurring co-author estimate
Active years
36
Publishing since 1991
This researcher works on machine learning methods, especially reinforcement learning, mutual learning between multiple models, and decentralized/multi-agent optimization approaches. Their work spans applications such as environmental decision-making (watershed conservation), biomedical text analysis, medical diagnosis support, and AI safety topics like large language model robustness. The research combines algorithm development with applied case studies in engineering, health, and natural resource management.
Publication output has declined from a peak of 7-8 papers per year around 2017-2018 to a steadier but lower rate of about 2 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PAST2HARM: A Simple Adaptive Past Tense Attack for Jailbreaking Multimodal AI
arXiv (Cornell University) · 2026
- PAST2HARM: A Simple Adaptive Past Tense Attack for Jailbreaking Multimodal AI
arXiv (Cornell University) · 2026
- Multi-Model LLM Architectures for Personalized Summarization and Relevance Ranking in Biomedical Literature
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Mutual Learning in Optimization - Part II
2024
- Mutual Learning for News Classification
Lecture notes in networks and systems · 2024
- Mutual Learning for Pattern Recognition
2023
- Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor and Kidney Stone Diagnosis
Annals of Computer Science and Information Systems · 2023
- Mutual Learning in Optimization
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · 2022
- Mutual Reinforcement Learning with Heterogenous Agents
2021
- Exploration and Visualization of Patterns Underlying Multistakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm
Water Resources Research · 2021
- Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences
2020 IEEE International Conference on Human-Machine Systems (ICHMS) · 2020
- Mutual Q-learning
2020
- Mutual Learning: Part II --Reinforcement Learning
2020
- Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design
2019
- Mutual Learning: Part I - Learning Automata
2019
- Author eBooks×3
- Water Resources Research×2
- AI Communications×2
- Own your potential (DEAKIN)×2
- arXiv (Cornell University)×2
- Xiangyu Liu
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Bernard de Bono
Biochemistry, Genetics and Molecular Biology · Indiana University
- Kyle Stirling
Biochemistry, Genetics and Molecular Biology · Indiana University
- Indika Kahanda
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Keyuan Jiang
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile