معرفی
Raghu Pasupathy is a Professor of Statistics at Purdue University, affiliated with the Department of Statistics within the College of Science. He holds a Ph.D. from Purdue University (2005) and a B.Tech from the Indian Institute of Technology, Chennai (1995). His research focuses on stochastic optimization, simulation methodologies, uncertainty quantification, empirical processes, and stochastic processes. He teaches courses such as Stochastic Processes (STAT/MATH 532) and has contributed to software tools like RA-Level for stochastic linear programs and PyMOSO for multiobjective simulation optimization.
His work emphasizes bridging theoretical foundations with practical applications, including algorithm development for simulation optimization and statistical inference methods. Notable contributions include ASTRO-DF for derivative-free optimization and R-SPLINE for integer-valued problems. He has advised several PhD students, including Jingyuan Chen and Guy Feldman. Pasupathy's research also involves collaborations on computational solvers and experimental comparisons through platforms like SimOpt.