Sriram Sankaranarayanan is a professor of Computer Science at the University of Colorado Boulder, where he teaches a variety of courses on algorithms, theory of computation, mathematical optimization and programming languages. His research studies how computers can be used to verify and design other computer systems by combining ideas from mathematical logic, theory of computation and control theory. He uses these to analyze "safety-critical" systems ranging from autonomous vehicles to artificial pancreas devices for patients with type-1 diabetes. Sriram obtained a PhD in computer science from Stanford University. Subsequently he worked as a research staff member at NEC research labs in Princeton, NJ. He has been on the faculty at CU Boulder since 2009. Sriram has been the recipient of awards including the CAREER award from NSF, and the Provost's faculty achievement award at CU Boulder.

Diptesh Ghosh serves as a Professor in the Production and Quantitative Methods Area at IIM Ahmedabad, where he has been contributing since December 2001. His academic journey includes a doctoral degree in Operations Research and Systems Analysis from IIM Calcutta, followed by significant roles including post-doctoral research at the University of Groningen's Faculty of Econometrics and Operations Research, and faculty position at IIM Lucknow. His practical experience includes working in the production department of a global automobile manufacturer, which adds real-world perspective to his academic expertise. His research focuses on optimization algorithms and heuristics for complex combinatorial optimization problems, particularly in network location and routing, with significant contributions to metaheuristic methods development. At IIM Ahmedabad, he teaches crucial courses in linear optimization, decision analysis, and network algorithms, while also serving as Dean (Programmes). His extensive publication record includes numerous research papers on topics ranging from genetic algorithms and facility layout problems to data correcting algorithms in combinatorial optimization, establishing him as a leading authority in operations research and quantitative methods