I am a Ph.D. student in Computer Science and Cyber Security at Augusta University, where I work as a Graduate Research Assistant at the ARVR Lab under the supervision of Dr. Jason Orlosky and Dr. Jieqiong Zhao. My research focuses on the intersection of computer vision, artificial intelligence, and mixed reality, with an emphasis on incremental learning and real-time 3D object understanding for XR systems.
Prior to joining Augusta University, I was a Machine Learning Engineer and Technical Lead at AIEX in Montreal, Canada (Remote), where I led the development of a no-code computer vision platform for dataset generation, model training, and real-time deployment on server and edge devices. I also designed and optimized visual inspection systems using YOLO, Mask R-CNN, and related deep learning models.
Before that, I co-founded and technically led startups focused on Intelligent Transportation Systems (ITS) and industrial automation. My work involved the design and implementation of vehicle detection and classification systems using inductive loop sensors, wireless magnetic technologies, and computer vision. These efforts contributed to developing smart traffic monitoring and automated inspection solutions deployed in real-world road infrastructure.
I received my M.Sc. and B.Sc. degrees in Electrical and Control Engineering from Bu-Ali Sina University in Hamedan, Iran, where I graduated as a top student. My master’s thesis focused on vehicle counting and speed detection using computer vision, and my undergraduate project involved designing a camera robot for real-time visual tracking.
Beyond research, I have been active in academic and leadership roles, serving as Vice President of the Computer & Cyber Graduate Student Organization at Augusta University, and previously leading multiple robotics and entrepreneurship initiatives at Bu-Ali Sina University.
More about my research and projects can be found on my personal website or my Google Scholar profile.