Manish Bansal

Manish Bansal is an accomplished educator and researcher with expertise in areas such as optimization, mixed integer programming, stochastic optimization, and computational geometry.

He has taught a variety of graduate and undergraduate courses at Virginia Tech, focusing on subjects like linear programming, non-linear programming, stochastic optimization, and deterministic operations research.

With a background in Electrical Engineering and a Ph.D. in Operations Research, Manish has a strong foundation in academia and practical applications.

His current research team at Virginia Tech is engaged in cutting-edge studies that aim to address data-driven decision-making problems related to production planning, logistics, networks, and geographical information systems.

Some of his research interests include developing methodologies for solving stochastic programs, network design problems, and hybrid algorithm development for structured linear systems.

Manish Bansal has held various positions in academia and industry, including serving as Assistant Professor at Virginia Tech, Postdoctoral Research Fellow at Northwestern University, and Graduate Research Assistant at Texas A&M University.

He is also actively involved as the Secretary of the Engineering Faculty Organization (EFO) at Virginia Tech's College of Engineering.

Through his teaching, research, and organizational roles, Manish Bansal continues to make significant contributions to the field of Industrial and Systems Engineering.