At the WASI Lab, we are driven by the belief that Artificial Intelligence should be designed with humanity at its core. Our research explores the fascinating intersection of Human-AI Interaction and Human-Aware AI. Our objective is to not only understand but also to develop AI systems that genuinely benefit and adapt to human needs and societal challenges.
Our current initiatives span both theoretical breakthroughs and impactful real-world applications. We are advancing the foundations of theoretical reinforcement learning while simultaneously deploying RL in agriculture to address critical environmental and sustainability challenges. Driven by a commitment to human-centric systems, we also specialize in knowledge tracing and AI in education, developing intelligent tools that adapt to individual learners and transform how people interact with technology.
Spring 2026
March 2026: Paper accepted at AIED 2026 on Conversational Agent for Meat Science Education!
March 2026: Paper accepted at AIED 2026 on Cold Start Mitigation in Knowledge Tracing via Few-shot Model Agnostic Meta Learning!
November 2025: Sarah and Kasun passed their PhD Qualification exams!
May 2025: Indronil passed his PhD Qualification exam!
April 2025: Paper accepted at AIED 2025 on the cold-start problem in educational AI systems!
March 2025: Poster accepted at LAK 2025 on the roles of memory and attention mechanisms in Deep Knowledge Tracing.
February 2025: Paper accepted at AAAI 2025 on LLM-guided tutoring for social skills training, collaboration with Illumia Labs, University of Alberta and University of Michigan-Dearborn.