Pritee Agrawal

Pritee Agrawal is a Lecturer at the Singapore University of Technology and Design (SUTD). She holds a Ph.D. from Singapore Management University (2018), specializing in Artificial Intelligence and Optimization, with her doctoral research focusing on resource/task allocation in multi-agent systems under uncertainty. Her work bridges theoretical AI advancements with practical applications.

**Education**:

• Ph.D., Singapore Management University, 2018

**Research Interests**: Pritee’s expertise lies at the intersection of AI and optimization, including proactive/reactive resource allocation, multi-agent systems, and data-driven decision-making. Her contributions emphasize computationally efficient solutions for complex, uncertain environments.

**Professional Experience**: Before SUTD, she served as an Optimization Data Scientist at Grab (Singapore) and later as a Senior Research Scientist at IHPC (A*STAR Research Entities), applying AI and optimization to solve industry challenges. Her research has been published in top AI conferences like IJCAI, AAMAS, and UAI.

**Labs/Teams**: Her work aligns with interdisciplinary teams at SUTD and IHPC, focusing on real-world AI implementations.