معرفی
Dr. Weibo Liu is a Lecturer in Computer Science at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. His research focuses on big data analysis, evolutionary computation, machine learning, and deep learning techniques, with applications in healthcare data analysis, manufacturing, and image processing. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation.
Weibo Liu earned a B.S. in Electrical Engineering from the University of Liverpool (UK) in 2015 and a Ph.D. in Artificial Intelligence from Brunel University London in 2020. He has contributed to over 54 publications, emphasizing domain adaptation, fault diagnosis, and optimization algorithms.
His recent publications highlight advancements in machine learning and deep learning, particularly in domain adaptation, object detection, and industrial applications like additive manufacturing and battery health estimation. His work integrates evolutionary computation (e.g., particle swarm optimization) with neural networks for solving real-world problems in healthcare, robotics, and energy systems.
Scientific Awards:
- Associate Fellow of the Higher Education Academy (AFHEA)
He actively supervises PhD projects on Deep Learning-Based Defect Detection for Metal Additive Manufacturing and has participated in program committees, including the 2017 International Conference on Automation and Computing (ICAC). His co-authors include prominent researchers like Prof. Xiaohui Liu and Prof. Zidong Wang.
