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Artificial Intelligence and Machine Learning

Discover more about our department, programs, and initiatives.

Research Area

Reinforcement Learning
Generative AI
Explainable AI (XAI)
Transfer Learning
Continual Learning
Bayesian Learning
Knowledge Representation and Reasoning
Visual SLAM (Simultaneous Localization and Mapping)
Planning and Decision Making
Swarm Robotics
Cognitive Computing
Evolutionary Algorithms
Online Learning

Overview

This research cell focuses on developing intelligent systems capable of learning, adapting, and decision-making across real-world scenarios. Drawing from computer science, mathematics, and cognitive science, members explore foundational theories and practical applications, creating systems that perceive environments, reason under uncertainty, and improve autonomously through experience.

Research Members

Publications