Rajat Mehrotra

Dr. Rajat Mehrotra is an Innovation Fellow at the Applied Innovation Center. His primary responsibilities include closely working with AIC director, business and computational lead, and various divisional directors within DRI to establish priorities and develop intellectual properties in the areas of cyber physical systems, high performance computing, and data science. Dr. Mehrotra received his PhD at Mississippi State University in electrical & computer engineering. His research has been aimed to develop state-of-the-art innovative techniques for designing advanced software systems and novel algorithms to solve complex problems of large scale Distributed Computing Systems (DCS) in the discipline of computer engineering. Dr. Mehrotra’s key research interests include performance management and security of DCS, Energy-Aware HPC Systems, Big Data Systems, and cyber physical systems.

Frederick Harris, Jr

High Performance Computation and Visualization Lab Founded in 1996, the High Performance Computation and Visualization Laboratory performs research in the areas of bioinformatics, parallel computing, graphics, and the use of virtual reality to solve real-world problems. Our researchers consists primarily of graduate students and alumni of the University of Nevada, Reno who are actively developing improved ways to interface with and use existing virtual reality hardware and refining virtual reality application development. Brain Computation Lab Founded in 2001, the brain lab is a joint research center between the departments of Computer Science & Engineering, Medicine, Physiology & Cell Biology, and the program of Biomedical Engineering. It also has neurobiological collaborations with the Brain Mind Institute at the EPFL (Switzerland), the University of Cergy Pontoise (France), and the University of Bonn (Germany).

Our researchers consists primarily of undergraduate/graduate students and alumni of the University of Nevada, Reno. They are actively developing computational innovations to understand the physiological processes that give rise to neocortical memory, learning, and cognition. Our models and experiments help understand brain pathophysiology and create brain-like artificial intelligence and neural prosthetic devices.

Sushil Louis

Dr. Louis works in Genetic Algorithms, Evolutionary Computing and their applications to Artificial Intelligence, Machine Learning, and Optimization. His current work investigates adaptive AI for RTS-games, interaction design for controlling large numbers of heterogenous, semi-autonomous entities, and generating real-time micro for game and real-world agents. The Evolutionary Computing Systems Lab (ECSL), which I direct, has investigated new techniques for machine learning using Case-Injected Genetic AlgoRithms (CIGAR), new techniques for playing to learn to play computer games, and new techniques for evolving Real-Time Strategy (RTS) game micro and macro.