Home > Industrial and Systems Engineering > Goutam Sen
Assistant Professor Grade-I
Industrial and Systems Engineering
Combinatorial optimization problems are frequently encountered in a variety of applications including telecommunications, computer networks, transportation, supply chain and logistics. They are often hard to solve due to the presence of integer variables. Commercial software like CPLEX cannot solve these problems for realistic and large instances unless problem-specific algorithms are developed and integrated to their default functions. My research is focused on developing large scale algorithms for such problems, and, in particular, by hybridizing concepts from optimization, machine learning, heuristics/metaheuristics, graph theoretical approaches and some AI techniques such as constraint programming.
Mathematical models and empirical analysis of a simulated annealing approach for two variants of the static data segment allocation problem by Sen G., Krishnammoorthy M. , Narayanan V. , Rangaraj N. Networks 68 4-22 (2016)
Exact approaches for static data segment allocation problem in an information network by G Sen, M Krishnamoorthy, N Rangaraj, V Narayanan Computers & Operations Research 62 282-295 (2015)
Development of SDSS Tools for Addressing Emergency/Disaster Management KCSTC
Development of SDSS Tools for Addressing Emergency/Disaster Management ISRO, INDIA
Imran Haider
Area of Research: Applied combinatorial optimization
Deepak Kumar Kushwaha
Area of Research: Operations Research
Ayush Sharma
Area of Research: Decision Technologies
Rima Dolai
Area of Research: Supply Chain Optimization
Santanu Banerjee
Area of Research: Operations Research
Siddhartha Mukhopadhyay
Area of Research: Decision Support Systems
