Research Interests:

Professor Das’s expertise spans across a wide range of topics including: Applied stochastic optimization, simulation-based optimization, modeling restructured energy markets, generation capacity expansion planning, modeling environmental implications of generation expansion, large-scale pandemic outbreak impact mitigation, developing decision making tools for better disease diagnosis and treatment planning with applications in cancer care, and enhancing STEM education at K-12 levels.