Supratik Mukhopadhyay, PhD, is a full Professor at the Center for Computation & Technology (CCT) at Louisiana State University (LSU). Professor Mukhopadhyay led the DeepDrug team (DeepDrug (lsu.edu)) for automated drug discovery using Artificial Intelligence to the semifinals of AI XPRIZE (among 147 teams worldwide), the world’s top competition for using AI for solving moonshot challenges (DeepDrug | AI XPRIZE). Combination therapy discovered by the DeepDrug Artificial Intelligence Platform for COVID-19 has undergone human studies at the Riverside University Health System, California (Riverside University Health System Medical Center, Skymount Medical Begin U.S. Clinical Trial for COVID-19 Oral Therapeutics Discovered Using Artificial Intelligence | County of Riverside (rivco.org)) and in Ukraine. The platform took 13 months from inception to human studies, which is one of the fastest in the pharmaceutical world for combination therapy. DeepDrug has also been approved for human trials by MHRA in the United Kingdom (Skymount Medical Receives UK MHRA Approval to Test New (globenewswire.com)). DeepDrug is the world’s only AI platform to discover a nutraceutical and bring it to market (Home - Inhibinol). 

Apart from Drug Discovery, Professor Mukhopadhyay has worked on AI for environmental challenges, education, port and supply chain security, satellite image understanding, video and image analytics, design of intelligent buildings and transportation systems, wildfire prediction and detection, conservation of endangered species and intelligent cyber-physical-human systems, to name a few. His DeepSat framework for satellite imagery understanding forms the basis of NASA Earth Exchange (NEX) (see DeepSAT: A Deep Learning Approach to Tree-Cover Delineation in 1-m NAIP Imagery for the Continental United States - NASA Technical Reports Server (NTRS)).

In the last 13 years, Professor Mukhopadhyay has received more than $9 million in research grants. His research has been funded by the NSF, DARPA, ARO, ONR, NGA, NASA, DOE, USDOT, USDA, NRL, state agencies, and private industry. Professor Mukhopadhyay has published around 125 refereed publications in reputed journals and conferences. He has been awarded 3 US Patents and has 8 US patents pending. Additionally, he has received numerous awards for his research and cofounded a startup, Ailectric, for commercializing his research on sound, video, and image analytics (Ailectric | Home | Artificial Intelligence | Deep Learning). He serves as an associate editor for IEEE Transactions on Artificial Intelligence and Remote Sensing letters and has served in the program committees of AAAI.