Dr. Sumit K. Jha is the Charles N. Millican Assistant Professor of Computer Science at the University of Central Florida, Orlando. His research interests include high-performance computing, data analytics, algorithms, formal methods, hybrid and stochastic systems. He has applied his fundamental research on these topics to applied problems in computational systems biology, cyber-physical systems, cyber-security, and computational finance.
Dr. Jha received his Ph.D. in Computer Science with Dr. Christopher James Langmead at Carnegie Mellon University. Before joining Carnegie Mellon, he graduated with B.Tech (Honors) in Computer Science and Engineering from the Indian Institute of Technology Kharagpur. Dr. Jha holds a Certificate in Quantitative Finance and is a member of the Alpha Quant Club - a network of academicians and industry leaders interested in mathematical finance.
Dr. Jha has worked on R&D problems at Microsoft Research, General Motors and INRIA, France. His research has been supported by the Oak Ridge National Laboratory and the US Air Force Research Laboratory. He is an elected full member of the Sigma Xi and is a recipient of the IEEE Orlando Engineering Educator Excellence Award.