I am a computer engineer with 15+ years of academic and industrial experience in artificial intelligence algorithm development and implementation. Currently, I work as a computer vision R&D engineer developing state-of-the-art SLAM systems for industries. Previously, I was a computer science PhD researcher at the University of Bristol for 4 years. I have also worked as an academic lecturer for 9 years, teaching fundamentals to advanced concepts in algorithm design and programming in artificial intelligence. Further, I have 3 years of industrial experience, working as an embedded system engineer in hardware and software development for industries. I have a strong mathematical and programming background specifically in artificial intelligence, machine learning, computer vision, image and signal processing. More importantly, as my records show, I am a highly motivated and determined person with a deep technical knowledge and strong diligence who makes things happen.
Supervisor: Prof. Majid Mirmehdi
Supervisor: Prof. Reza Safabakhsh
Supervisor: Prof. Keivan Navi
Incorporating state-of-the-art 3D computer vision, machine learning and signal processing algorithms and techniques for building engineering e-health frameworks and systems:
I have been an academic lecturer for 9 years, teaching fundamentals to advanced concepts of algorithm development and programming in artificial intelligence. I actively involved in research projects during this period and published 20+ (first author) national and international conference papers in the area of computer vision and machine learning among which 4 won the best paper award. I supervised 50+ BSc students final projects.
I was involved in building a variety of electronic products mainly for dams, power stations, and major industrial factories. Some of my significant works in this company are:
I was involved in building a variety of electronic products mainly for dams, power stations, and major industrial factories. Some of my significant works in this company are: