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Ra­jani Singh

Tenure Track Assistant Professor

Emner
Beslutningstagning

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.

2025

Fish Species Identification on Low Resolution

A Study With Enhanced Superresolution Generative Adversarial Network (ESRGAN), YOLO and VGG-16

Subhrangshu Adhikary

Saikat Banerjee

Ra­ja­ni Singh, Tenure Track Assistant Professor

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oktober 2024

Counteracting “The Tragedy of the Commons” in an Imperfect World

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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