Rate My Professor Siavash Khaksar

Dr. Siavash Khaksar is a Senior Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, part of the Faculty of Science and Engineering. He obtained his B.Sc. in Electrical and Electronics Engineering from Azad University, Science and Research Branch in Fars, in 2012. He completed his M.Eng. in Electrical Engineering, focusing on embedded systems, at Curtin University in 2015, followed by his PhD from Curtin University in 2024, with research centered on assistive technology, motion sensors, and machine learning applications in the gamification of rehabilitation. His academic interests encompass assistive technologies utilizing motion sensors and machine learning for rehabilitation gamification, embedded systems, digital hardware-software co-design, Internet of Things (IoT) and Industrial IoT, intelligent systems, and industrial automation. Khaksar has made contributions to digital health, posture monitoring, cerebral palsy classification, drone control via gesture recognition, and emerging areas such as open-pit mining crack detection and UAV swarm mission planning.

In his teaching role, Dr. Khaksar delivers units on embedded systems and digital design, having developed lecture materials and professional engineering laboratories. He serves as faculty advisor for Curtin University's online IoT course on edX and coordinates projects while supervising undergraduate and postgraduate students as Honours Project Coordinator in the School of Electrical Engineering, Computing and Mathematical Sciences. Key publications include 'Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed' (2025), 'A Hybrid Game Engine—Generative AI Framework for Overcoming Data Scarcity in Open-Pit Crack Detection' (2026), 'Systematic Review of Multi-Objective UAV Swarm Mission Planning Systems from Regulatory Perspective' (2025), 'Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation' (2022, Sensors), 'Design and Evaluation of an Alternative Control for a Quad-Rotor Drone Using Hand-Gesture Recognition' (2023), 'HeadUp: A Low-Cost Solution for Tracking Head Movement of Children with Cerebral Palsy Using IMU' (2021), and 'Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy' (2021). He received the 2020 Curtin Awards for Excellence and Innovation in Teaching and an Honourable Mention in the Curtin Student Guild Excellence in Teaching Awards for the Faculty of Science and Engineering.