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Hassan Zargarzadeh is an associate professor at Electrical and Computer Engineering Department at Lamar University. He holds a PhD from Missouri University of Science and Technology (MS&T). His research focuses on applied machine learning in the fields of defect detection and robotics where he has published several papers. He also has published numerous papers in the fields of advanced control systems and power electronics. M-Mahdi Naddaf-Sh is a research scientist at the Laboratory for AI, Robotics, and Automation (LARA) at the University of California, Davis. His research spans the intersection of artificial intelligence, robotics, and control systems, with a focus on autonomous systems and machine learning for robotic perception and decision-making. Before joining UC Davis, he worked at Ford Greenfield Labs in Palo Alto, CA, where he led the Advanced Robotics and Automation Lab within the Core AI/ML group. He received his Bachelor's degree in Electrical Engineering from Ferdowsi University of Mashhad (Iran), his Master's in Artificial Intelligence from the University of Southampton (UK), and his Doctorate of Engineering in Electrical Engineering from Lamar University (USA). He has authored several publications in peer-reviewed IEEE journals and conferences, with contributions recognized in the areas of autonomous robotics and intelligent manufacturing. Amir-M. Naddaf-Sh is currently a Ph.D. student in Computer Science at Kennesaw State University, Marietta, GA. He received his B.Sc. degree in Electrical Engineering from Ferdowsi University of Mashhad, Mashhad, Iran, in 2020, and his Doctor of Engineering degree in Electrical Engineering from Lamar University, Beaumont, TX, USA, in 2025. His research interests span deep learning, robotics, and computer vision. Sadra Naddaf-Sh is a Senior Machine Learning Engineer and Researcher at Truveta, Bellevue, WA, USA, where he works on advancing efficient and robust deep learning and generative AI methods. His research interests include generative AI, language modeling, and data-centric AI. He received his Doctorate degree in Electrical Engineering from Lamar University, Beaumont, TX, USA, in 2022, and his B.Sc. degree in Computer Engineering from Ferdowsi University of Mashhad, Iran, in 2018.
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