معرفی
Amir Shabani is a Lecturer in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). He holds a Ph.D. in System Design Engineering from the University of Waterloo (2011), an M.Sc. in Electrical and Electronics Engineering from Iran University of Science and Technology (2004), and a B.Sc. in the same field (2001). His research focuses on Artificial Intelligence, Machine Learning, Computer Vision, and Smart City technologies, with emphasis on applications in interactive robotics, affective computing, and IoT systems.
Dr. Shabani teaches courses such as SEE 231 (Electronic Devices and Systems), SEE 332 (Power Systems Design and Analysis), and SEE 333 (Network and Communication Systems). His academic interests span System Design (e.g., AI, Robotics, Data Structures) and Electronics (e.g., Embedded Systems, IoT). He actively contributes to smart building automation, renewable energy systems, and human-centric technologies like social robotics for elderly care.
His publications address advanced topics including edge computing for social robots, facial emotion recognition, and intelligent occupancy detection in smart environments. His work bridges theoretical computer vision with practical engineering solutions for sustainable energy and urban infrastructure.
