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Current Students

Debanjan Gangopadhyay (Ph.D.), Nitish Kumar (Ph.D.), Simran Lakhani (Ph.D.), Shamik De (M.Tech.), Sumanto Kar (M.Tech.), Pulkit Khandelwal (M.Tech.), Mohan Krishna (M.Tech.), Saurabh Mehra (M.Tech.) and Deepesh Saini (M.Tech.) are working with me on various topics.

Students advised in the past

Ph.D. Thesis
  1. Mustafa Vora, Development of a Solver for Mixed-Integer Quadratically Constrained Quadratic Optimization , 2024.
  2. Devanand, Some Studies on Similarity-based Methods for Linear Optimization and Master Production Schedule, 2023.
  3. Anurag Ladage, Mathematical models and solution approaches for chemical tanker scheduling and allocation problems, 2023.
  4. Prashant Palkar, Shared-Memory Parallel Algorithms for Mixed-Integer Nonlinear Optimization, 2021.
  5. Meenarli Sharma, Advances in Algorithms for Convex Mixed-Integer Nonlinear Optimization, 2021.
  6. Hamidur Rahman, Algorithms and Relaxations for Optimization over Bilinear Covering Sets, 2019.
M.Tech. and M.S. Thesis
  1. Jyoti, A Study On Strong Optimal Classification Trees, 2024
  2. Ashish Pandey, Streamlining and Optimizing Nephrology Department Operations, KEM Hospital, Mumbai, 2024
  3. Ashish Gurmaita, Optimising and Digitalising Healthcare Operations for KEM Hospital, 2024
  4. Krushna Salunke, Research and Development of MINLP Solver: Minotaur, 2024
  5. Harshit Yadav, Optimization Models for Locating and Assigning Warehouses for Large Customers under Uncertain Demands, 2023
  6. Ankit Kumar, Meal Delivery Operations Optimization, 2023
  7. Ashish Pandit, Allocation and routing for first and last mile operations, 2022
  8. Ankita Prasad, Optimization models for practical Assembly Line Balancing, 2022
  9. Mohammed Sikander Khan, Optimisation of First and Last Mile Pickup and Delivery having dynamic nature of order arrivals, 2022
  10. Arvind Kumar, Global Optimization of Water Networks, 2022
  11. Kanishka Sunnick, Global Optimization of Water-pipe Networks, 2022
  12. Rahul Khankar, Routing of Bus Fleets, 2021
  13. Luther Immanuel, Operations Research in Managing Hospital Beds, 2021
  14. Mayur Zadbuke, Optimal Truck Routing and Scheduling of Shipments for Line Haul in a Delivery Network, 2020
  15. Vinay Chourasia, Enhancing the Performance of a Convex Mixed-Integer Nonlinear Solver, 2019
  16. Sudhindra Katre, Performance Variability in Mixed-Integer Nonlinear Optimization, 2019
  17. Hitesha Nemade (sponsored), Discrete Event Simulation for Modeling and Optimizing Paint Shop Operations, 2019
  18. Vickee Rathe, Recent Developments in Metaheuristics for Vehicle Routing Problem, 2019
  19. Sharad Agrawal, Approximation Algorithm for Temporal Bin Packing Problem, 2018
  20. Hussain Kharodawala, Multi-modal Supply Chain Distribution Problem, 2018
  21. Saket Saurabh, Timetabling for a large university, 2018 (Co-advised by Vishnu Narayanan)
  22. Arun Ramamurthay, Lower Bounds for Cutting Stock Problem and Pattern Minimization Problem, 2018
  23. Akshay Bhave, Comparative study of heuristic methods for alternative graph in railway rescheduling, 2017 (Co-advised by Vishnu Narayanan)
  24. Prakash Gawas, Risk sensitive Markov Decision Process and Linear Programs, 2017 (Co-advised by V Kavitha)
  25. Prateek Dahale, Heuristics for Solving Discrete Optimization Problems, 2016
  26. Rishikesh Kushwaha, Cutting Plane Algorithms: Development and Implementation, 2016
  27. Anirban Nag, Exact Methods for Finding Optimal Schedules of New Trains in a Railway Network, 2016
  28. Raghvendra Omer, Developing a Convex Quadratic Programming Solver with Warm-starting After Bound Changes, 2016
  29. Atreya Kotoky, Minimum Controller substructure for Generic Arbitrary Pole Placement, 2015 (Co-advised by M. Belur)
  30. Shamsher Singh, Deterministic freight train scheduling for a general railway network, 2015
  31. Akash Gupta, Exploring branch-and-bound algorithm, 2014.
  32. Ruchir Santuka, Improved formulations for cutting stock problem with setup times, 2014 (Co-advised by Narayan Rangaraj).
  33. Ashish Shukla, Multileaf collimator sequencing with integer programming, 2014 (Co-advised by Vishnu Narayanan).
  34. B. Suresh, Practical branching techniques for convex mixed-integer nonlinear optimization, 2014.
B.Tech. Thesis
  1. Digvijay Pravin Boob, Nonlinear Optimization: Algorithms and Computation, 2014.
last modified on February 24, 2025