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Ra­jani Singh

Tenure Track Assistant Professor

Subjects
Decision-making

Primary research areas

Game Theory

Application of dynamic games and optimal control theory in different domains

Data Science and AI

Data-driven or data-informed decision-making, Data Analytics

Sustainability and Green Transition

Natural Resource and Renewable Energy Management

Where game theory meets data for societal impact

I do research at the intersection of game theory and data science, focusing on how cooperation and decision-making evolve over time. I use mathematical and economic models to study decision-making problems in areas such as sustainability, natural resource management (renewable and non-renewable), the green transition, renewable energy, and digital markets. I am also interested in practical applications in information systems. On the theoretical side, I am exploring data-informed decision-making. 

My goal is to connect theory with practice by developing tools that support better policies, responsible business strategies, and social innovation in response to challenges like climate change and digitalization.

Recent research projects

AI Pilot Project: CBotS - Mini Tutor Bot for Students

Developing Chatbot for students that provide personalize explanation, critical thinking and engaging last learning experience. The project uses