a man with glasses, a purple lsu polo shirt against black photo backgroundSupratik Mukhopadhyay

Position: Professor, Department of Environmental Sciences; Professor, LSU Center for Computation & Technology; Fellow, LSU Coastal Studies Institute; Adjunct Professor, LSU Department of Computer Science.
Phone: 225-578-1496
E-mail: mmukho1@lsu.edu 
Office: 2067 Energy, Coast & Environment Building

 

 

 

 

 

 

Degrees

PhD: Computer Science, Max Planck Institute for Computer Science (Max Planck Institut fur Informatik) University of Saarland, Germany (2001)

Masters: Computer Science, Indian Statistical Institute (July 1996)

Bachelor's: Electrical Engineering (with specialization in control theory) from Jadavpur University, Calcutta, (July 1994).

 

Research Interests

Artificial intelligence with applications to the environment and healthcare

 

Selected Patents

Supratik Mukhopadhyay, Edward Collie, Robert Dibiano: “System and method for an adjustable neural network” US Patent 12,711,355, Awarded by the United States Patent and Trademark Office, 2026

Supratik Mukhopadhyay, Saikat Basu, Robert diBiano, Malcolm Stagg, Manohar Karki, Jerry Weltman: “Continuation Patent: COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR HIGH PERFORMANCE VISUAL TRACKING”, US Patent 11,677,910, Awarded 2023.

Supratik Mukhopadhyay, Saikat Basu 2, Robert diBiano, Malcolm Stagg, Manohar Karki, Jerry Weltman: COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR HIGH PERFORMANCE VISUAL TRACKING," US Patent Number 10,757,369, issued 2020.

Supratik Mukhopadhyay and S. S. Iyengar: Continuation Patent: System and Architecture for Robust Management of Resources in a Wide-Area Network," US Patent Number 9,240,955, issued January 2016.

Supratik Mukhopadhyay and S. S. Iyengar: System and Architecture for Robust Management of Resources in a Wide-Area Network", US Patent Number 8,572,290, issued October 2013

 

Awards & Honors

Louisiana Biotechnology Innovation Award, Louisiana Office of Innovation, 2026 

Tiger Team Award, recipient (recognition for service and collaboration advancing LSU’s mission), 2026

Schmidt Sciences — Humanities and AI Virtual Institute (HAVI) Award, team awardee (one of 23 teams worldwide), 2026

ACM SIGSPATIAL 10-Year Impact Award (Runner-Up), 2025 Awarded for sustained research impact over a decade for the paper: Basu, S., Ganguly, S., Mukhopadhyay, S., DiBiano, R., Karki, M., Nemani, R. “DeepSat: A Learning Framework for Satellite Imagery,”
ACM SIGSPATIAL 2015

ENNS Best Paper Award, International Conference on Artificial Neural Networks (ICANN 2025), Kaunas, Lithuania. Awarded by the European Neural Network Society (ENNS) to the most outstanding paper across the entire conference.

Best Poster Award Runner-Up Award for the paper “COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification” (authors: Magesh Rajasekaran (LSU), Md Saiful Islam Sajol (Louisiana State University), Frej Berglind (Louisiana State University), Supratik Mukhopadhyay (Louisiana State University), Kamalika Das (Intuit)) at the SIAM International Conference on Data Mining (SDM), 2024.

DeepFire team (for automated space-based wildfire detection) under me qualified to become one of the top 20 teams (among hundreds of teams worldwide) for the space-based wildfire detection track in Wildfire XPRIZE, 2024, https://www.xprize.org/prizes/
wildfire/articles/announcing-the-xprize-wildfire-space-based-qualified-teams. Prize money for this round $37,500

Best paper award at the 20th International Conference on Runtime Verification, 2020 for ”Vivian M Ho, Chris Alvin, Supratik Mukhopadhyay, Brian Peterson, Jimmy D Lawson, Empirical Abstraction”, In Proceedings of the 20th International Conference on
Runtime Verification (RV), 2020. Lecture Notes in Computer Science.

DeepDrug team (for automated drug discovery; see https: // www. deepdrug. org/ ) under me was one of the top 10 teams for the Milestone Award for the IBM AI XPrize both in 2017 and 2018. Deepdrug was invited to present at the NeuriPs 2018 competition
track. For more information see the following https://www.xprize.org/articles/30-teams-advance-in-5m-ibm-watson-ai-xprize and https://bit.ly/2CeXWP5

LSU Alumni Association Rising Faculty Research Award, March 2014

LSU Patent Recognition, 2015, 2017

Dean’s Scholarship Award, College of Engineering, Louisiana State University, December, 2013

Dean’s Scholarship Award, College of Engineering, Louisiana State University, May, 2016

Occidental Chemical Corporation Career Development Professorship of the College of Engineering at Louisiana State University from January 2013-December 2015

Winner of Phi Kappa Phi Nontenured Faculty Award Louisiana State University for Natural and Physical Sciences, 2011

ONR Summer Faculty Fellow, May - July 2010

 

Selected Professional Affiliations and Service Activities

Research Program Reviewer
1. Member of Multidisciplinary Expert Group of the Innovation Facility, United Nations Environmental Program, 2022
2. Reviewer for Summer research program WOTUS, Frontier Development Laboratory (FDL NASA), 2020

Journal Editor
1. Associate Editor, Remote Sensing Letters, A Taylor and Francis Journal, since January
2020.
2. Associate Editor, IEEE Transactions on Artificial Intelligence, since March 2020.

Steering Committee Member
1. Steering committee member, AIMLSystems Conference, 2026-present

General Co-chair
1. AIML Systems Conference 2024

 

Selected Publications

Adam Bess, Sean Rowland, Chris Alvin, Meisam Adibifard, Supratik Mukhopadhyay:“eMolFrag2 and eSynth2: Sound Fragment-Based Molecular Decomposition and Reconstruction” In Journal of Chemical Information Modeling, 2026. Impact Factor: 6.9

Aashutosh Ghimire, Chris Alvin, Adam Bess, Supratik Mukhopadhyay: “Interpretable Drug-Target Prediction via Geometric Alignment: A Linear Alternative to Deep Architectural Complexity” To appear in Molecular Informatics Journal, IMpact Factor 3.1, 2026

Caroline A. Bonaventure, Aashutosh Ghimire, Adam Bess, Michael Simons, Lark Smith, Ethan Leoni, Reed Smith, Supratik Mukhopadhyay, Rula Mualla, Michael DiLeo, Christopher MKL Yao, Sagar Kansara: “A Machine Learning Model to Predict Complications Following Head and Neck Microvascular Surgery” To appear in Laryngoscope Investigative Otolaryngology, 2026, Impact factor: 1.9

Mariam Valladares-Castellanos, Sreekanta Das, Supratik Mukhopadhyay, Thomas Douthat, Chris McLindon, Chris Alvin, Costas Varotsos: “Artificial Intelligence-driven Techniques Aiding Carbon Capture, Utilization, & Storage (CCuS): A Roadmap” In Remote Sensing Letters, to appear 2026

Saiful Sajol, Magesh Rajasekaran, Hayden Gemeinhardt, Adam Bess, Chris Alvin: A Multimodal Human Protein Embeddings Database: DeepDrug Protein Embeddings Bank (DPEB), In Nucleic Acids Research Genomics and Bioinformatics, to appear 2026.

Bess, Adam, Sean Rowland, Chris Alvin, and Supratik Mukhopadhyay. “Ai derivation and exploration of antibiotic class spaces.” Journal of Cheminformatics (2026), Impact factor: 5.7.

Jacob Hagen, Logan Jacob Hornung, William Barham, Supratik Mukhopadhyay, Adam Bess, Kevin Contrera, Devraj Basu, Vlad Sandulache, Guillaume Spielmann, Sagar Kansara: “Artificial Intelligence in Head and Neck Cancer: Towards Precision Medicine” In Cancers Journal, Impact Factor 4.4

Yanda Ou, Z George Xue, Supratik Mukhopadhyay, Magesh Rajasekaran, Dylan Wichman: Forecasting coastal hypoxia using a blend of mechanistic and artificial intelligence models. Scientific Reports volume 15, Article number: 31452 (2025). Impact factor: 3.9

K. H. Alnafisah, A. Ranjan et. al. Machine Learning for Automated Grading of Lung Collagen in a Urethane-Induced Lung Injury Mouse Model. Biomedical Optics Express 15, no. 10 (2024): 5980-5998. Impact factor: 3.4

Sidhanta, S., Chokwitthaya, C., Zhu, Y. et al. QACDes: QoS-aware context-sensitive design of cyber-physical systems. Sci Rep 14, 19032 (2024). https://doi.org/10.1038/s41598-024-69371-x. Impact factor 3.8

Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay: MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction. J. Chem. Inf. Model. 64(13): 4980-4990 (2024). Impact factor 5.9.19

Girish Rentala, Yimin Zhu, Supratik Mukhopadhyay. “‘Application of Time Series Analysis to Improve the Validity of Immersive Virtual Environments for Collecting Occupant Thermal State and Adaptive Behavioral Intention Data”, in Advanced Engineering Informatics, 2024 Impact Factor: 8.0‘

Bess, Adam, Frej Berglind, Supratik Mukhopadhyay, Michal Brylinski, Chris Alvin, Fanan Fattah, and Kishor M. Wasan. “Identification of oral therapeutics using an AI platform against the virus responsible for COVID-19, SARS-CoV-2.” Frontiers in Pharmacology 14 (2023). Impact Factor 4.4

Ho, Vivian M., Chris Alvin, Supratik Mukhopadhyay, Brian Peterson, and Jimmie D. Lawson. ”Program Analysis using Empirical abstraction.” in Journal of Software Tools for Technology Transfer, 431–452, 2023. Impact Factor 1.1

Khalid Hamad Alnafisah and Supratik Mukhopadhyay and Jianhua Chen and Saikat Basu and Edward Collier, “Connecting Sand-shift Desert Roads in the Kingdom of Saudi Arabia Based on Satellite Imagery”, ICGST Journal on Artificial Intelligence and Machine Learning AIML, 23(1) 11–19, 2023.

Zapata, Hector O., and Supratik Mukhopadhyay. ”A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing.” Journal of Risk and Financial Management 15.11 (2022): 535.

Adam Bess, Frej Berglind, Supratik Mukhopadhyay, Michal Brylinski, Nicholas Griggs, Tiffany Cho, Chris Galliano, Kishor M Wasan. "Artificial Intelligence for the Discovery of Novel Antimicrobial Agents for Emerging Infectious Diseases" to appear in Drug Discovery Today, 2021, Impact Factor: 7.851

Chokwitthaya, Chanachok, Yimin Zhu, and Supratik Mukhopadhyay. "Robustness analysis framework for computations associated with building performance models and immersive virtual experiments." Advanced Engineering Informatics, 2021. Impact Factor: 5.603

Collier, Edward, Supratik Mukhopadhyay, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Gayaka Shreekant et al. "Semantic Segmentation of High Resolution Satellite Imagery using Generative Adversarial Networks with Progressive Growing." Remote Sensing Letters 12, no. 5 (2021): 439-448. Impact Factor: 2.583

Sahu SP, Liu Q, Prasad A, Hasan SMA, Liu Q, Rodriguez MXB, Mukhopadhyay O, Burk D, Francis J, Mukhopadhyay S, Fu X, Gartia MR. "Characterization of fibrillar collagen isoforms in infarcted mouse hearts using second harmonic generation imaging." Biomed Opt Express. 2020 Dec 23;12(1):604-618. doi: 10.1364/BOE.410347. PMID: 33520391; PMCID: PMC7818962. Impact Factor: 3.732

Supratik Mukhopadhyay, Michal Brylinski, Adam Bess, Frej Berglind, Chris Galliano, Patrick F. Mcgrew. "DeepDrug: Applying AI for the Advancement of Drug Discovery," in Proceddings of ACM/IEEE COMSNETS 2022.

Edward Collier, Supratik Mukhopadhyay: SimilarityGAN: Using Similarity to Loosen Structural Constraints in Generative Adversarial Models" In Proceedings of DICTA 2021.