Lei Guan | Machine Learning | Research Excellence Award

Published on by Electrical Engineering

Mr. Lei Guan | Machine Learning | Research Excellence Award

Director | China Academy of Safety Science and Technology | China

Lei Guan is a Director and Professor at the Risk Monitoring and Early Warning Center, China Academy of Safety Science and Technology, with expertise in risk monitoring, early warning systems, artificial intelligence, and industrial safety engineering. He holds a Bachelor’s degree in Materials Science and Master’s and Doctoral degrees in Mechanical Engineering with specialization in precision instruments and safety-related systems. He has led major national and ministerial research programs, directed key laboratories and professional committees, supervised graduate researchers, and provided technical leadership for large-scale industrial and governmental safety initiatives. His research focuses on intelligent work safety systems, industrial internet applications, digital twins, data-driven risk modeling, and emergency management, with sustained contributions through peer-reviewed publications, patents, and standards development. His scholarly impact is reflected in 18 citations, an h-index of 3, and 13 published articles.

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Featured Publications

Numerical simulation of the double pits stress concentration in a curved casing inner surface
W. Yan, L. Guan, Y. Xu, J.G. Deng – Advances in Mechanical Engineering, 9(1) (3 citations)

Safety monitoring and management system for fluid catalytic cracking (FCC) process
L. Fang, Z. Wu, L. Wei, R. Kang, L. Guan – International Conference on Information and Automation (3 citations)

Study on SVM-based Flame Recognition and Fire Warning for Cotton and Linen Warehouses
X. Zhao, S. Hao, L. Guan, Y. Wang, Q. Zhao, D. Lv – IEEE Conference on Advances in Electrical Engineering (2 citations)

Industrial Internet of Things (IIoT) Identity Resolution Techniques: A Review
C. Dai, H. Li, L. Guan, M. Chi – IEEE BigDataSecurity (1 citation)

Dauda Adenusi | Industrial Automation | Best Researcher Award

Published on by Electrical Engineering

Mr. Dauda Adenusi | Industrial Automation | Best Researcher Award

Lecturer | Atiba University | Nigeria

Dr. Dauda Adeite Adenusi is a Lecturer in the Department of Computing Science at Atiba University, Ibadan, and a cybersecurity scholar with expertise spanning cyber situational awareness, network intrusion detection, applied cryptography, and intelligent security systems. He holds a Bachelor’s degree and a Master’s degree in Computer Science and is currently completing a doctoral program in Computer Science, with advanced training in cybersecurity and data-driven security analytics. Dr. Adenusi has extensive academic and professional experience across universities and polytechnics, where he has served in teaching, research, academic leadership, and administrative roles, including Head of Department, program coordinator, accreditation committee chair, and student project supervisor. The author has received 7 citations across 2 scholarly documents, with an h-index of 1.

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Featured Publications

Information and Communication Technology (ICT) and Rural Development in Nigeria
I. O. Ebo, B. M. Amosa, D. A. Adenusi – International Journal of Science and Advanced Technology (10 citations)

Challenges and Way Out of Cyber Security Issues in Nigeria
D. A. Adenusi, A. U. Adekunle, O. O. Odewale – International Conference of Villanova Polytechnic (6 citations)

ICT in Education Among Higher Education Students
D. A. Adenusi, A. A. Adebayo, B. O. Oni – Villanova Journal of Science, Technology and Management (6 citations)

Development of Cyber Situation Awareness Model
D. Adenusi, B. K. Alese, B. M. Kuboye, A. F. B. Thompson – International Conference on Cyber Situational Awareness (5 citations)

Development of Threats Detection Model for Cyber Situation Awareness
A. D. Adenusi, E. C. Ayeleso, A. K. Kawonise, J. B. Ekuewa, A. A. Adebayo – ICONSEET Proceedings (4 citations)

Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Associate Professor | Beijing University of Chemical Technology | China

Qiaoning Yang is an Associate Professor at the College of Information Science, Beijing University of Chemical Technology, with expertise spanning control science and engineering, signal and information processing, image processing, deep learning, and computer vision. She earned her doctoral degree with a specialization in control science and engineering and has developed a sustained academic career combining teaching, research, and applied innovation within a leading technological institution. Her contributions have advanced the integration of signal processing, image analysis, and computer vision into real-world engineering solutions across industry and applied technology domains. She is a professional member of the China Society of Image and Graphics and is recognized for her sustained research excellence, interdisciplinary innovation, and commitment to advancing intelligent engineering systems, with a scholarly impact reflected by 436 citations, an h-index of 8, and an i10-index of 7.

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Featured Publications

Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
Q. Yang, W. Shi, J. Chen, W. Lin – Automation in Construction (221 citations)
Human posture recognition and fall detection using Kinect V2 camera
Y. Xu, J. Chen, Q. Yang, Q. Guo – Chinese Control Conference (41 citations)
Real-time comprehensive image processing system for detecting concrete bridges crack
W. Lin, Y. Sun, Q. Yang, Y. Lin – Computers and Concrete (15 citations)