Prof. Dailin Zhang , Huazhong University of Science and Technology, Wuhan, China
Dr. Dailin Zhang is an Associate Professor at Huazhong University of Science and Technology in China, specializing in multi-sensor information fusion, robot technology, and intelligent manufacturing. He earned his Ph.D. from Huazhong University in 2007, following which he served as a postdoctoral fellow at the Institute of Precision Engineering at the Chinese University of Hong Kong from 2007 to 2009. Since 2009, Dr. Zhang has been an integral part of the faculty at Huazhong University, contributing to both teaching and research. His academic journey further expanded when he was a visiting scholar at UC Berkeley in the United States from 2017 to 2019. With a prolific publication record, Dr. Zhang has authored over 30 papers in SCI-indexed journals, establishing himself as a significant contributor to advancements in his field.
Professional Profile:
ORCID
Summary of Suitability for Best Researcher Award: Dailin Zhang
Research Profile: Dailin Zhang, an Associate Professor at Huazhong University of Science and Technology, P.R. China, holds a Ph.D. in Mechanical Engineering and has extensive experience in multi-sensor information fusion, robotics, and intelligent manufacturing. His research has significant implications for enhancing automation and precision in manufacturing processes, areas critical for advancing technology in today’s industry.
Education:
- Ph.D. in Engineering
Huazhong University of Science & Technology, P.R. China
Graduated: 2007
Work Experience:
- Postdoctoral Fellow
Institute of Precision Engineering, The Chinese University of Hong Kong
Duration: 2007 – 2009
- Associate Professor
Huazhong University of Science and Technology, P.R. China
Duration: 2009 – Present
- Visiting Scholar
University of California, Berkeley, USA
Duration: 2017 – 2019
Publication top Notes:
A Double-Weighted Information Fusion Method Based on Deep Network for Attitude Measurement
A Weight Adaptive Kalman Information Fusion Method for Attitude Measurement
Line-Features-Based Pose Estimation Method for the Disc Cutter Holder of Shield Machine
Convolutional Neural Network Based Two-Layer Transfer Learning for Bearing Fault Diagnosis
Genetic Algorithm-Based Intelligent Selection Method of Universal Shield Segment Assembly Points
A New Fusion Fault Diagnosis Method for Fiber Optic Gyroscopes