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
- Mustafa Vora, , 2024.
- Devanand, Some Studies on Similarity-based Methods
for Linear Optimization and Master Production Schedule, 2023.
- Anurag Ladage, Mathematical models and solution approaches for chemical
tanker scheduling and allocation problems, 2023.
- Prashant Palkar, Shared-Memory Parallel Algorithms for
Mixed-Integer Nonlinear Optimization, 2021.
- Meenarli Sharma, Advances in Algorithms for Convex
Mixed-Integer Nonlinear Optimization, 2021.
- Hamidur Rahman, Algorithms and Relaxations for Optimization over Bilinear
Covering Sets, 2019.
M.Tech. and M.S. Thesis
- Jyoti, A Study On Strong Optimal Classification Trees, 2023
- Ashish Pandey, Streamlining and Optimizing Nephrology Department
Operations, KEM Hospital, Mumbai, 2023
- Ashish Gurmaita, Optimising and Digitalising Healthcare Operations for KEM
Hospital, 2023
- Krushna Salunke, Research and Development of MINLP Solver: Minotaur, 2023
- Ashish Pandit, Allocation and routing for first and last mile operations, 2022
- Ankita Prasad, Optimization models for practical Assembly Line Balancing, 2022
- Mohammed Sikander Khan, Optimisation of First and Last Mile Pickup and Delivery having dynamic nature of order arrivals, 2022
- Arvind Kumar, Global Optimization of Water Networks, 2022
- Kanishka Sunnick, Global Optimization of Water-pipe Networks, 2022
- Rahul Khankar, Routing of Bus Fleets, 2021
- Luther Immanuel, Operations Research in Managing Hospital Beds, 2021
- Mayur Zadbuke, Optimal Truck Routing and Scheduling of Shipments for Line
Haul in a Delivery Network, 2020
- Vinay Chourasia, Enhancing the Performance of a Convex Mixed-Integer
Nonlinear Solver, 2019
- Sudhindra Katre, Performance Variability in Mixed-Integer Nonlinear
Optimization, 2019
- Hitesha Nemade (sponsored), Discrete Event Simulation for Modeling and Optimizing
Paint Shop Operations, 2019
- Vickee Rathe, Recent Developments in Metaheuristics for Vehicle Routing
Problem, 2019
- Sharad Agrawal, Approximation Algorithm for Temporal Bin Packing Problem,
2018
- Hussain Kharodawala, Multi-modal Supply Chain Distribution Problem, 2018
- Saket Saurabh, Timetabling for a large university, 2018 (Co-advised by Vishnu Narayanan)
- Arun Ramamurthay, Lower Bounds for Cutting Stock Problem and Pattern
Minimization Problem, 2018
- Akshay Bhave, Comparative study of heuristic methods for alternative graph
in railway rescheduling, 2017 (Co-advised by Vishnu Narayanan)
- Prakash Gawas, Risk sensitive Markov Decision Process and Linear Programs, 2017 (Co-advised by V Kavitha)
- Prateek Dahale, Heuristics for Solving Discrete Optimization Problems, 2016
- Rishikesh Kushwaha, Cutting Plane Algorithms: Development and Implementation, 2016
- Anirban Nag, Exact Methods for Finding Optimal Schedules of New Trains in a Railway Network, 2016
- Raghvendra Omer, Developing a Convex Quadratic Programming Solver with Warm-starting After Bound Changes, 2016
- Atreya Kotoky, Minimum Controller substructure for Generic Arbitrary
Pole Placement, 2015 (Co-advised by M. Belur)
- Shamsher Singh, Deterministic freight train scheduling for a general
railway network, 2015
- Akash Gupta, Exploring branch-and-bound algorithm, 2014.
- Ruchir Santuka, Improved formulations for cutting stock problem with setup
times, 2014 (Co-advised by Narayan Rangaraj).
- Ashish Shukla, Multileaf collimator sequencing with integer programming,
2014 (Co-advised by Vishnu Narayanan).
- B. Suresh, Practical branching techniques for convex mixed-integer
nonlinear optimization, 2014.
B.Tech. Thesis
- Digvijay Pravin Boob, Nonlinear Optimization: Algorithms and
Computation, 2014.
last modified on January 07, 2018