RaghavendraBollapragada
- raghu.bollapragada@utexas.edu
- ETC 5.118
Design and analysis of scalable, robust, and efficient nonlinear optimization algorithms for problems arising in machine learning applications.
About
Raghu Bollapragada (Vijaya Raghavendra Bollapragada), is an Assistant Professor in the Operations Research and Industrial Engineering program at The University of Texas at Austin. I am also affiliated with the ODEN Institute for Computational Engineering & Sciences, Machine Learning Laboratory, and Center for Dynamics and Controls of Material: an NSF MRSEC at UT Austin.
His research focuses on designing algorithms for nonlinear optimization. This includes works in subfields such as constrained optimization, stochastic optimization, distributed optimization, and optimization algorithms for machine learning. As the scale and difficulty of optimization problems being posed increases in areas such as logistics, controls, machine learning, and computational physics, designing new age optimization algorithms becomes necessary to tackle these problems while taking full advantage of hardware and software tools available.
Educational Qualifications
- Ph.D., Industrial Engineering and Management Sciences, Northwestern University, 2019
- M.S., Industrial Engineering and Management Sciences, 2015
- B.Tech., Mechanical Engineering, Indian Institute of Technology Madras, 2014
Select Awards & Honors
- Vice Chair of Nonlinear Optimization – INFORMS (2024-2026)
- Walker Award, Walker Department of Mechanical Engineering (2022)