Ata Jahangir Moshayedi 🏛︎︎Dongguan University of Technology & Automation Research Lab (RARL), China IEEE Senior Member, ACM Professional Member Prof. Bio: Dr. Ata Jahangir Moshayedi is currently a Professor at the DGUT-CNAM Institute, Dongguan University of Technology, China. He is a Senior Member of IEEE, a Professional Member of the Association for Computing Machinery (ACM), and a Member of the China Computer Federation (CCF). He received his Ph.D. in Electronic Science fromSavitribai Phule Pune University, India. His research focuses on robotics, artificial intelligence, automated guided vehicles (AGVs), intelligent systems, and automation. His work places particular emphasis on the application of autonomous guided vehicles in smart agriculture, food delivery, elderly care, and other practical scenarios, as well as the design and development of intelligent robotic systems. Dr. Moshayedi has participated in various international academic research and collaborative projects. He has actively served as a technical committee member and session chair for international academic conferences, as well as a reviewer and editorial board member for international journals. He has published more than 100 peer-reviewed papers in international academic journals and conferences, authored four academic books, contributed to four book chapters, and holds intellectual property achievements including Chinese-authorized patents and software copyrights. His research achievements cover robotics, artificial intelligence, virtual reality, mobile robotics, and embedded intelligent systems. Title: To be determined ... Abstract: To be determined ... |
Azhar Imran Mudassir 🏛︎︎Beijing University of Technology, China IEEE Senior Member Assoc. Prof. Bio: Dr. Azhar Imran Mudassir is currently anAssociate Professor in the Department of Computer Science at Beijing University of Technology, China. His research interests mainly focus on artificial intelligence, machine learning, deep learning, and medical image analysis. He received his Master’s degree in Computer Science from the University of Sargodha, Pakistan, and his Ph.D. in Software Engineering from Beijing University of Technology, China. He previously served as an Assistant Professor at Air University, Pakistan, and has continued his academic and research activities at Beijing University of Technology. His research covers artificial intelligence, data science, medical image analysis, machine learning, deep learning, explainable artificial intelligence, healthcare informatics, computer vision, data science, and social media analytics. His work focuses on applying artificial intelligence technologies to healthcare, image processing, and intelligent data analysis. Dr. Mudassir has published research papers in international academic journals and conferences. He has actively participated in international academic activities and has served as a keynote speaker, invited speaker, special session organizer, technical committee member, and peer reviewer for international conferences and academic journals. He has also received honors including the Outstanding Graduate Student Award and the Outstanding Researcher Award from Beijing University of Technology. Research Interests: Artificial Intelligence; Machine Learning and Deep Learning; Medical Image Analysis; Computer Vision; Healthcare Informatics; Explainable Artificial Intelligence; Data Science; Social Media Analytics. Title: To be determined ... Abstract: To be determined ... |
Xinnian Wang 🏛︎︎Dalian Maritime University, China CCF Member Prof. Bio: Prof. Xinnian Wang is a Professor and doctoral/master supervisor at the School of Information Science and Technology, Dalian Maritime University. He received his Doctor of Engineering degree in Information and Communication Systems from Dalian Maritime University in 2005 and has since engaged in teaching and scientific research at the university. His research focuses on digital image processing, computer vision, pattern recognition and intelligent perception. He mainly conducts in-depth research on biometric recognition, traffic visual perception and industrial visual perception, covering footprint recognition, finger vein recognition, gait recognition, handwriting recognition, human-vehicle-road analysis and recognition, structured traffic video analysis, pavement quality detection, production line visual perception, intelligent welding, product defect detection and safety early warning technologies. In recent years, Prof. Wang has carried out systematic research on computer vision, image analysis and recognition, intelligent transportation and industrial vision. He has published multiple research papers in authoritative international journals and conferences, and undertaken a number of scientific research and enterprise cooperation projects. His research achievements are widely applied in footprint image retrieval and recognition, finger vein recognition, gait recognition, pavement damage detection, weld seam tracking, traffic video analysis and machine vision fields. He has obtained the Second Prize of Liaoning Provincial Science and Technology Progress Award, the First Prize of Dalian Science and Technology Progress Award, and been awarded the title of Dalian High-end Talent. He also owns a number of patents related to computer vision, image recognition and intelligent detection. His main research interests include digital image processing, computer vision, pattern recognition, biometric recognition, footprint and shoeprint image recognition, finger vein recognition, gait recognition, traffic visual perception and industrial visual perception. Title: To be determined ... Abstract: To be determined ... |
