# Prashant Palkar Source: https://hello.cv/prashantpalkar ## About I am an Assistant Professor in the Industrial Engineering and Operations Research group at the Department of Mechanical Engineering at Indian Institute of Technology (IIT) Delhi, India. Earlier, I was at the Chair of Discrete Mathematics, Optimization and Operations Research at the Institute of Mathematics, University of Augsburg, since April 01, 2021. During my PhD, I have primarily worked with Prof. Ashutosh Mahajan on theory and algorithms for Mixed-integer Nonlinear Programs. I also worked with Dr. Jeffrey Larson, Dr. Sven Leyffer and Dr. Stefan Wild (all three from Argonne National Laboratory) on Mixed-integer Derivative-free Optimization. One of my prime interests is to work on optimization solvers. I implement many of my research ideas in the open-source framework MINOTAUR. Prior to starting my PhD, I worked with Tata Steel Limited for about four years as a "Process Modelling and Visualization" expert in the long products business chain. I worked at multiple sites in Singapore, Thailand and India, collaborated with various clients and consultants for solving various optimization problems. I was also involved in designing and building end-to-end business software for users with embedded optimization algorithms and solvers, back-end databases and front-end GUIs. ## Work ### Assistant Professor | Indian Institute of Technology Delhi ### Postdoctoral Researcher | University of Augsburg ### Senior Manager, Process Modelling and Visualisation | Tata Steel ## Education ### Indian Institute of Technology Bombay | Research Scholar ### Indian Institute of Technology Bombay | Master of Technology ## Publications ### Dynamic traffic assignment for electric vehicles Transportation Research Part B: Methodological journal-article ### Linearization and Parallelization Schemes for Convex Mixed-Integer Nonlinear Optimization Computational Optimization and Applications journal-article ### Dynamic Traffic Assignment for Electric Vehicles 22nd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems conference-paper ### Mitigating Anomalies in Parallel Branch-and-Bound Based Algorithms for Mixed-Integer Nonlinear Optimization Lecture Notes in Computer Science book-chapter ### A method for convex black-box integer global optimization Journal of Global Optimization journal-article ### A mathematical programming-and simulation-based framework to evaluate cyberinfrastructure design choices 2017 IEEE 13th International Conference on e-Science (e-Science) conference-paper ### A Branch-and-Estimate heuristic procedure for solving nonconvex integer optimization problems 2015 IEEE International Parallel and Distributed Processing Symposium Workshop conference-paper ## Source Read this profile on Hello.cv: https://hello.cv/prashantpalkar Create your free profile at https://hello.cv