Tanveer Hossain BhuiyanGraduate Student
Ph.D. Candidate, Industrial Engineering
Tanveer Hossain Bhuiyan is a Ph.D. candidate in the Industrial & Systems Engineering Department at The University of Tennessee-Knoxville. Tanveer received a M.S. degree in Operations Research with a minor in Statistics from Mississippi State University in 2018. He also received a B.S. and a M.S. degree in Industrial and Production Engineering from Bangladesh University of Engineering and Technology in 2012 and 2014, respectively. Tanveer worked as a Research Intern at Pacific Northwest National Laboratory and Argonne National Laboratory. His Ph.D. dissertation is on developing mathematical models and solution algorithms for data-driven optimization under endogenous uncertainty-decision affects the underlying uncertainty in system parameters. Methodology of Tanveer’s research includes data-driven stochastic programming, integer programming, statistical-learning-based optimization and machine learning. His research has been applied to the areas of critical infrastructure protection, transportation network design, disaster mitigation, cyber security, computational material science, and power systems planning and operation. Tanveer’s research has been published in European Journal of Operational Research and in several IEEE conferences. Tanveer serves as a reviewer for journals including European Journal of Operational Research, Computers and Operations Research, and International Journal of Production Research. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS).