Indronil Bhattacharjee

Indronil Bhattacharjee is a Ph.D. student in the Computer Science Department at New Mexico State University, where he also earned his Master of Science degree. Before beginning his doctoral studies, he worked as a Data Engineer at E-Zone Limited, contributing to large-scale network infrastructure projects, and later as a Graduate Assistant in at NMSU’s Department of Computer Science and Department of Facilities and Services. Most recently, he served as a Graduate Student Intern at Los Alamos National Laboratory in the Applied Mathematics and Plasma Physics group. He obtained a Bachelor of Science in Computer Science and Engineering from Khulna University of Engineering & Technology, Bangladesh.

The objective of his research lies in advancing artificial intelligence for education and human–AI interaction, with a particular focus on knowledge tracing, reinforcement learning, and narrative-driven training systems.

He is exploreing contrastive learning, memory- vs. attention-based architectures in knowledge tracing, and meta-learning approaches to address the cold-start problem in adaptive tutoring systems.

His current interests include designing intelligent tutoring systems that integrate reinforcement learning, narrative generation, and cognitive features to optimize student learning experiences and enable adaptive, human-centered AI in educational settings.