Deep learning

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

artificial intelligence Deep learning Generative AI and LLMs

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Lucas Câmara Dantas Bezerra

Ph.D. Student, Electrical and Computer Engineering

Multi-Agent Decision Making Deep learning Multi-agent systems Robotics and Control

PhD candidate working on cooperation in multi-agent systems through Multi-Agent Reinforcement Learning (MARL). He is affiliated with the Distributed Systems and Autonomy (DSA) group, under supervision of Professor Shinkyu Park.

Abdullah Alharthi

Postdoctoral Research Fellow, Electrical and Computer Engineering

data analysis Pattern Recognition Sensor Fusion Deep learning Human Gait Analysis Applications convolutional neural network Perception Human-robot interaction

Dr. Abdullah Alharthi's research centers around pattern recognition as a means to tackle a diverse array of new challenges, including how to learn intelligent behavior in complex, dynamic environments. His areas of expertise include cognition, perception, theory of mind, gait, and human-robot interaction. His work delves into both human kinetics and the comprehension and resolution of how humans and robots interact with one another in a dynamic setting. Dr. Alharthi employs Deep Learning techniques to tackle problems related to image, object, and signal recognition and classification