Assoc Prof Dr. Hui Yu | Neural Networking Awards | Best Researcher Award
Assoc Prof Dr. Hui Yu, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, China
Dr. Hui Yu, a Research Associate at the Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences since 2019, earned his Doctor of Engineering and Master of Science in Electrical and Electronic Engineering from the University of Strathclyde, and his Bachelor of Science in Microelectronics from Hefei University of Technology. With previous roles as a Teaching Assistant at the University of Strathclyde and a Test Engineer at Shenzhen Powerld Technology Co., Ltd., Dr. Yu specializes in modeling, analysis, and optimization methods for complex systems, focusing on biochemistry, energy, and medical applications. He has published over 30 papers in leading journals and conferences and holds 10 granted invention patents and 8 software copyrights among his 20 patent applications.
š Professional Profile:
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š Education:
Dr. Hui Yu earned his Doctor of Engineering and Master of Science in Electrical and Electronic Engineering from the University of Strathclyde (2013-2018 and 2011-2012, respectively), and his Bachelor of Science in Microelectronics from Hefei University of Technology (2004-2008). His academic journey has equipped him with extensive knowledge and expertise in the field of electrical and electronic engineering.
š¼ Work Experience:
Dr. Hui Yu is a Research Associate at the Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, a position he has held since 2019. He has previously worked as a Teaching Assistant at the University of Strathclyde from 2013 to 2017 and as a Test Engineer at Shenzhen Powerld Technology Co., Ltd. from 2008 to 2010. Dr. Yu’s diverse experience spans research, academia, and industry, reflecting his comprehensive expertise in his field.
š Research Interests:
Dr. Hui Yu specializes in modeling, analysis, and optimization methods for complex systems. His work includes optimal experimental design, model parameter identification, and system uncertainty analysis, with applications in biochemistry, energy, and medical fields.
āļø Publications and Patents:
He has published over 30 papers in prominent SCI journals and conferences, such as CES, IFAC, CAC, and IEEE SSCI. Dr. Yu has applied for over 20 invention patents, including 2 PCTs, and has been granted 10 invention patents and 8 software copyrights.
Publication Top Notes:
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Synergistic Fusion of Physical Modeling and Data-Driven Approaches for Parameter Inference to Enzymatic Biodiesel Production System
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Year: 2024
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Hand and Arm Gesture-Based Human-Robot Interaction: A Review
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Year: 2022
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Deep Clustering With Intraclass Distance Constraint for Hyperspectral Images
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Year: 2021
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