Dr. Zobeir Raisi | Deep Learning | Excellence in Research Award 

Dr. Zobeir Raisi | Deep Learning | Chabahar Maritime University | Iran

Dr. Zobeir Raisi is a male expert in computer vision, machine learning, and deep learning, specializing in object detection, recognition, tracking, segmentation, 3D human pose estimation, and camera calibration, combining advanced theoretical knowledge with practical and applied research experience. He holds a Ph.D. in Systems Design Engineering from the University of Waterloo, Canada, and both M.E. and B.E. degrees in Electrical Engineering from the University of Sistan & Balouchestan, Iran, reflecting a strong academic foundation and interdisciplinary technical proficiency. Dr. Zobeir Raisi’s professional experience encompasses postdoctoral research focused on automating sports analytics using smartphone cameras, supervising master’s students in camera calibration projects with industry collaboration, and conducting Ph.D.-level research on transformer-based deep learning frameworks for arbitrary-shaped text detection and recognition in complex visual environments. He has contributed as a research assistant in computer vision and machine learning applications for automated assembly and anomaly detection systems, as well as serving as a lecturer and assistant professor at Chabahar Maritime University, teaching courses spanning digital image processing, digital systems, electrical circuits, computer architecture, microcontrollers, and electromagnetics, while mentoring undergraduate and graduate students and managing journal editorial processes.

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