Research Scholar
Industrial Engineering and Operations Research,
Indian Institute of Technology Bombay.
Mobile:+91 9325028247
Email: tusharwalunj@iitb.ac.in, twalunj9@gmail.com
Supervisor
Prof. Veeraruna Kavitha
Prof. Jayakrishnan Nair
Research Interests
Game Theory, Reinforcement Learning, Queueing Theory, Optimization.
Academic Background:
- M.Sc - Ph.D. in Operations Research (2019- present), IE&OR, IIT Bombay, Mumbai
- B.Sc Mathematics (2016-2019), S.P. College, Pune University, Pune
Academic Publications:
- Walunj, Tushar Shankar, Singhal, S., Kavitha, V. and Nair, J., 2022, September. Pricing, competition and market segmentation in ride hailing. In 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (pp. 1-8). IEEE.
- Walunj, Tushar Shankar, Singhal, S., Nair, J. and Kavitha, V., 2023. On the interplay between pricing, competition and QoS in ride-hailing. Under review at ANOR, 2023. (arXiv preprint arXiv:2308.14496.)
Teaching Assistant:
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Mathematical Optimisation techniques (IE 609): Autumn 2022
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Probability and Stochastic Processes (IE 622): Spring 2023
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Markov Decision Processes (IE 708): Autumn 2023
Courses:
Core: Optimization Models, Operations Analysis, Computer Programming and Algorithms, Engineering Statistics, Probabilistic Models, Service and Infrastructure Systems, Linear Systems, Decision Analysis and Game Theory, Optimization Techniques, Economics, Probability and Stochastic Processes II.
Electives: Foundations of Machine Learning, Networks, Games and Algorithms, Applied Mathematical Analysis in Engineering, Matrix Computation, Quantitative Models for Supply Chain Management, Integer Programming: Theory and Computations, Networks, Games and Algorithms, Simulation Modeling and Analysis, Markov decision processes, Topics in Industrial Engineering and Operations Research, Markov Chains and Queuing Systems.
Position of Responsibility: Student Companion, Institute Student Companion Programme (ISCP), 2020-21