Prof. Wan Quan Liu, Sun Yat-sen University, China
Prof. Wan Quan Liu is a prominent professor at the School of Intelligent System Engineering at Sun Yat-sen University, where he has been serving since 2021. He earned his Ph.D. in Electrical Engineering from Shanghai Jiaotong University (1991-1993) and holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988), as well as a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985). Previously, he was an ARC Fellow and Senior Lecturer at Curtin University of Technology from 2000 to 2021. Prof. Liu’s research focuses on computer vision, deep learning networks, optimization, and intelligent control systems, where he has made significant contributions that advance these fields.
Professional Profile
Suitability for the Best Researcher Award:
Prof. Wan Quan Liu’s combination of an extensive educational background, significant research contributions, and recognition in the form of awards makes him an excellent candidate for the Best Researcher Award. His work in computer vision, deep learning, and intelligent control systems is highly relevant in today’s technology-driven landscape, with implications for various sectors including robotics, automation, and artificial intelligence.
The recognition he has received, both at the national and provincial levels, further solidifies his status as a leading researcher in his field. His ongoing research and publications contribute to advancements in critical technologies, making a tangible impact on both academia and industry.
Educational Background:
Prof. Wan Quan Liu earned his PhD in Electrical Engineering from Shanghai Jiaotong University (1991-1993). He holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988) and a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985).
Academic Experience:
Currently, Prof. Liu is a professor at the School of Intelligent System Engineering at Sun Yat-sen University (2021-present). Prior to this, he held various positions, including ARC Fellow and Senior Lecturer at Curtin University of Technology (2000-2021).
Research Interests:
Prof. Liu specializes in computer vision, deep learning networks, optimization, and intelligent control systems, contributing significantly to advancements in these fields.
Awards and Recognition:
His exceptional work has earned him several accolades, including:
- 2023: National Talented Researcher from the National Education Committee
- 2022: Pearl Leading Researcher from Guangdong Province
Publication Top Notes:
-
Title: AFS-FCM with Memory: A Model for Air Quality Multi-dimensional Prediction with Interpretability
-
Title: Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection
-
Title: Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification
-
Title: FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability
-
Title: Invertible Residual Blocks in Deep Learning Networks