Teaching: 

• Fundamentals of Programming
• Advanced Python Programming
• Probabilistic and Statistical Modeling
• Introduction to Data Science.
• Computer Architecture and logic design.

Research Topics: 

• Machine Learning
• Reinforcement learning
• Control and Robotics
• Cognitive Modeling

Selected publications:

• Mourad, N., Ezzeddine, A., Nadjar Araabi, B. and Nili Ahmadabadi, M., 2020. Learning from demonstrations and human evaluative feedbacks: Handling sparsity and imperfection using inverse reinforcement learning approach. Journal of Robotics, 2020.
• Ezzeddine, A., Mourad, N., Araabi, B.N. and Ahmadabadi, M.N., 2018. Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement. Expert Systems with Applications, 112, pp.331-341.

Biography

Nafee Mourad received his Electrical and Computer Engineering Diploma from the Lebanese University, Beirut, in 2003. He obtained his M.S. degree in Modeling and Computer Simulation, jointly from the Lebanese University (Beirut, Lebanon) and University of Rennes (France) in 2006, and his Ph.D. degree from the University of Tehran, Iran, in 2021. During that period, he engaged in professional engineering and teaching work. Currently, he is an assistant professor at the University of Sciences and Arts in Lebanon (USAL). His research interests include human-in-the-loop Reinforcement Learning, sensor/data fusion, and Cognitive Robotics.