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个人简介
Mugahed A. Al-Antari received the Ph.D. degree from the Biomedical Engineering Department, College of Electronics and Information, Kyung Hee University (KHU), Republic of Korea, in August 2019. He is currently an Assistant Professor with the Department of Artificial Intelligence (AI), College of Software and Convergence Technology, Sejong University, Seoul, Republic of Korea. He has teaching experience as a Lecturer at the Department of Biomedical Engineering with different public and private universities for more than five years. Meanwhile, he has professional industry experience as a Senior Researcher and the Executive Engineering Director for more than five years for developing mini- and whole-body DXA machines using X-ray pencil and fan beams at the YOZMA BMTech Group, Seoul. He joined the Ubiquitous Computing Laboratory (UC Lab) as a Postdoctoral Researcher at the Department of Computer Science and Engineering, Kyung Hee University. His recent AI-Based publications have earned a lot of attention from the international journal editorials and has been selected to represent a cornerstone for the modern medicine. His current research interests include explainable artificial intelligence (XAI), deep reinforcement learning, deep learning, machine learning, pattern recognition, medical signal and image processing, and medical imaging of dual-energy X-ray absorptiometry (DXA). He is a member of IEEE EMBS, since 20214. In August 2019, he received the Ph.D. degree from an excellent Thesis Award from Biomedical Engineering Department, College of Electronics and Information, Kyung Hee University (KHU).
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论文共 67 篇作者统计合作学者相似作者
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Multimedia Tools and Applicationspp.1-32, (2024)
2024 2nd International Conference on Intelligent Perception and Computer Vision (CIPCV)pp.147-151, (2024)
2024 2nd International Conference on Intelligent Perception and Computer Vision (CIPCV)pp.152-156, (2024)
Diagnosticsno. 12 (2024): 1281-1281
2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)pp.1-5, (2023)
Journal of King Saud University Computer and information sciencesno. 7 (2023): 101596-101596
2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)pp.1-7, (2023)
Gladys W. Muoka,Ding Yi,Chiagoziem C. Ukwuoma, Albert Mutale,Chukwuebuka J. Ejiyi,Asha Khamis Mzee,Emmanuel S. A. Gyarteng,Ali Alqahtani,Mugahed A. Al-antari
Mathematicsno. 20 (2023): 4272
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作者统计
#Papers: 69
#Citation: 1639
H-Index: 14
G-Index: 40
Sociability: 5
Diversity: 2
Activity: 33
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