Salma Emara

Salma Emara is an Assistant Professor, Teaching Stream in the Department of Electrical and Computer Engineering at the University of Toronto. She received her B.Sc. in Electronics and Communications Engineering from the American University in Cairo in 2018 and her Ph.D. in Computer Engineering from the University of Toronto under the supervision of Professor Baochun Li in 2022. Her Ph.D. research focused on improving reinforcement learning algorithms for computer networking. Currently, her research explores pedagogical strategies for enhancing debugging skills in beginner programmers and leveraging natural language processing in engineering education. She believes engineers learn best by doing and is committed to engaging students through in-class activities and problem-solving assignments. Her dedication to teaching has been recognized with multiple student-voted teaching awards.

Salma Emara is an Assistant Professor at the University of Toronto, specializing in Computer Networks, Reinforcement Learning, Continual Learning, and Education. Her research focuses on developing adaptive networking solutions using reinforcement learning techniques to improve congestion control and streaming performance. She also explores the integration of AI in educational systems to enhance learning experiences. Emara's work includes designing network-adaptive error control mechanisms and creating intelligent educational tools such as chatbots and virtual teaching assistants. Her research bridges computer science and education, emphasizing the application of machine learning in real-world networking and pedagogical contexts.