Tanvi Verma

Tanvi Verma is a Research Scientist at the Institute of High Performance Computing (IHPC), A*STAR in Singapore. She holds a PhD in Information Systems from Singapore Management University (SMU), where she was awarded the Presidential Doctoral Fellowship for outstanding research. Prior to her PhD, she earned a B.Tech. in Computer Science and Engineering from the National Institute of Technology Warangal, India. Her professional experience includes software development roles at NetApp India and Dell India R&D before transitioning to academia in 2015.

Her research focuses on lifelong continual learning, reinforcement learning, game theory, and auto ML. Applications of her work include optimizing revenue maximization through deep RL methods, decision support systems for healthcare (e.g., visual perimetry, retinal pathology detection), and sustainable indoor farming via generative deep learning. She also explores multi-agent systems for large-scale coordination and privacy-preserving techniques in medical image classification.

Key contributions span scalable MARL algorithms, entropy-based learning in anonymous environments, and light recipe design for vertical farming. Her articles reflect a blend of theoretical advancements and practical applications across AI, healthcare, and agriculture.

• Awards: Presidential Doctoral Fellowship (SMU).
• Labs/Teams: Affiliated with IHPC’s AI and Data Science research group.