Rajani Singh
Tenure Track Assistant Professor
Primary research areas
Game Theory
Data Science and AI
Sustainability and Green Transition
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
Outside activities
I have no outside employments or activities