Core Faculty
Modeling & Distributed Simulation (Discrete-event, System Dynamics), Integrated Supply Chain Analysis
Theoretical and practical aspects of Machine Learning, Data mining, Optimization for data science, Longitudinal Data Analysis and related applications.
Linear and Non Linear mixed integer Optimization, Convex Optimization, Polyhedral Combinatorics, Optimization under uncertainty etc.
Communication Networks, Machine Learning, and Network Economics.
Machine Learning including Reinforcement Learning, Neural Networks, Markov decision models, Queueing models, Game Theory etc.
Dynamic data-driven decision support systems for large-scale applications such as manufacturing systems, healthcare, border security, and social networks
Stochastic processes, Performance Analysis, Queuing Theory, Polling systems, Optimal control, Game theory, Stochastic approximation, Wireless communications
Game Theory, Discrete Mathematics, Number Theory, Combinatorics, Cellular Automata, Mechanism Design, and Algorithms
Algorithms and Software for Integer and Nonlinear Optimization. Industrial Applications of Operations Research.
Integer Programming, Convex Optimization, and Polyhedral Theory
Application of Operations Research to Logistics and Supply Chain Management, Manufacturing, Railway Operations, Transportation and Health Care
Deterministic and Stochastic control, (Differential) Game Theory, Viscosity Solutions, Markov Decision Processes, Probability and Mathematical Finance
Network Optimization, Transportation and Logistics Network Design, Supply Chain Network Analysis
Applied Probability: Interacting particle systems, large deviations, stochastic control, and mean-field games
Associated Faculty
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Research Interests: Railway timetabling: development of tools, Singular and descriptor systems: impulse elimination, Dissipative systems: algorithms for storage functions,Operations research: timetabling, bottleneck identification and congestion control, Graph theoretic methods and structural control, Allocation problems and matching techniques |
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jayakrishnan.nair[AT]ee.iitb.ac.in Research Interests: Queueing theory, Communication networks, Heavy tails |
 | Om P. Damani(Computer Science Engineering, IITB) damani.cse[AT]iitb.ac.in |
Professor Emeritus
 | P.G. Awate (Professor Emeritus, IEOR) prakash.awate[AT]gmail.com Research Interests: Scheduling, Inventory Management, Neural Networks, Knowledge-based Systems |
Visiting Faculty
 | Kavita Ramanan (Professor of Applied Mathematics, Brown University, US) kavita_ramanan[AT]brown.edu Research Interests: Probability theory, stochastic processes and their applications, including reflected processes, large deviations theory, high-dimensional probability and applications to asymptotic convex geometry |
 | Pietro Belotti (Assistant Professor, Dept. of Electronics, Information and Bioengineering, Politecnico di Milano, Italy) pietro.belotti[AT]polimi.it Research Interests: Discrete nonlinear (global) optimization; exact methods for discrete multiobjective optimization, robust optimization, and open-source software for optimization |
Retired Faculty
 | subash [AT] me.iitb.ac.in Research Interests: Manufacturing Systems, Quality Management, Entrepreneurship |
 | Siddhartha SenGupta (Adjunct Professor) Research Interests: Large scale automated Automated Railway Planning, Transportation planning, Creating value from ICT, Logistics and Supply Chain Management (including Pricing/Revenue Management), Machine Learning and Artificial Intelligence |