Assist. Prof. Dr. Wei Zhou | Multimedia System | Best Researcher Award

Assist. Prof. Dr. Wei Zhou, Cardiff University, United Kingdom

Wei Zhou is an Assistant Professor at Cardiff University, United Kingdom, in the School of Computer Science and Informatics. With a Ph.D. from the University of Science and Technology of China, jointly completed with the University of Waterloo, Wei has cultivated an impressive career in computational vision, multimedia signal processing, and intelligent displays. His diverse experience includes roles as a visiting scholar at the National Institute of Informatics, Japan, and a research intern at Microsoft and Alibaba Cloud. A Senior Member of IEEE and ACM, Wei has contributed over 70 publications to prestigious journals and conferences, earning over 1,800 citations with an h-index of 24. His groundbreaking work in image and video quality assessment has real-world applications in Alibaba Cloud technologies. A recipient of numerous accolades, including recognition as one of Stanford University’s Top 2% Scientists, Wei continues to lead impactful research at Cardiff while mentoring the next generation of innovators.

Professional Profile:

Scopus

Suitability of Wei Zhou for the Research for Best Researcher Award

Wei Zhou, an Assistant Professor at Cardiff University, exemplifies the qualities of an exceptional researcher with significant contributions to computational vision, multimedia signal processing, and human-oriented visual perception. Below is an analysis of his qualifications and achievements that make him a strong candidate for the “Research for Best Researcher Award

🎓 Education

Wei Zhou holds a Ph.D. in Information and Communication Engineering (2017–2021) from the University of Science and Technology of China (USTC), in collaboration with the University of Waterloo. His dissertation, focusing on multi-source image and video perceptual quality assessment, earned the Outstanding Thesis Award. Wei also pursued a joint Ph.D. in Electrical and Computer Engineering (2019–2021) at the University of Waterloo under Prof. Zhou Wang’s supervision. He completed a Direct Master’s to Ph.D. program at USTC after earning his Bachelor’s in Information Engineering (2012–2016), where he received the Outstanding Bachelor Dissertation Award.

🏢 Professional Experience

Wei Zhou is currently an Assistant Professor at Cardiff University, leading computational vision and multimedia processing research, supervising postgraduate students, and serving as a module leader for the National Software Academy. Prior to this, he was a Postdoctoral Fellow at the Image and Vision Computing Lab at the University of Waterloo (2021–2023), focusing on video and image quality evaluation. Wei has industry experience as a research intern at Microsoft Research and Alibaba Cloud, where he contributed to depth estimation and video assessment models. He was also a Visiting Scholar at Japan’s National Institute of Informatics, specializing in digital content analysis and imaging technologies.

🏅 Awards and Honors

Wei Zhou’s accomplishments include being named among the Top 2% Scientists Worldwide by Stanford University (2024), and receiving the Exceptional Talent endorsement by the UK Royal Society (2023). He won the Grand Challenge Winner Award at CVPR’s CLIC Perceptual Metric Track (2021), and the ACM SIGMM China Outstanding Doctoral Dissertation Award (2022). Other recognitions include the President Award from the Chinese Academy of Sciences (2021), IEEE VCIP Best Reviewer Award (2021), and Outstanding Doctoral Dissertation Funding from USTC (2020).

🔬 Research Focus

Wei Zhou’s research interests are centered on computational vision and multimedia signal processing. He develops advanced algorithms for image and video analysis, with a focus on human-oriented visual perception and user-centric imaging systems. His work spans optical imaging, medical imaging, and display technologies, aiming to create innovative solutions for immersive and interactive visual experiences. Wei’s research bridges theoretical developments with real-world applications, significantly contributing to the fields of multimedia and computational imaging.

Publication Top Notes:

Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling
- Citations: 1
Subjective and Objective Quality Assessment of Multi-Attribute Retouched Face Images
- Citations: 1
Bayesian Graph Convolutional Network for Traffic Prediction
- Citations: 2
Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection
- Citations: 6
Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
- Citations: 2

Mrs. Naima Souane , Université Oran 1 Ahmed ben bela, Oran, Algérie , Algeria

Naima Souane is a PhD candidate specializing in Computer Systems and Networks at Oran1 University, Algeria. She holds a Master’s Degree in Computer Science with a specialization in Engineering of Computer Systems from the Faculty of Science and Technology, University of Mascara (2010-2011), and an Engineering Degree in Computer Science with a focus on Artificial Intelligence from the same university (2003-2008). Additionally, she earned her Baccalaureate in Natural and Life Sciences from Lycée Mahyeddine Ben Mustapha Errachidi, Mascara in 2003. Naima currently works as a Senior IT Engineer at a state-owned company. Her professional experience includes conducting research on “Interface Service Between Mobile and Cloud Computing” during her master’s studies and developing the PervasiveGrid Simulator (PGS) during her engineering studies.

Professional Profile:

Google Scholar

🎓Education:

Naima Souane is currently pursuing a PhD in Computer Science with a specialization in Computer Systems and Networks at Oran1 University, Algeria. She holds a Master’s Degree in Computer Science, specializing in Engineering of Computer Systems, which she obtained from the Faculty of Science and Technology at the University of Mascara in 2011. Prior to her master’s, Naima earned her Engineering Degree in Computer Science with a focus on Artificial Intelligence from the University of Mascara between 2003 and 2008. Her academic journey began with a Baccalaureate in Natural and Life Sciences from Lycée Mahyeddine Ben Mustapha Errachidi in Mascara in 2003. Naima also brings professional experience as a Senior IT Engineer at a state-owned company, where she applies her expertise in computer systems and networks. Her research during her academic career has been notable, including the development of the PervasiveGrid Simulator and research on the interface service between mobile and cloud computing, showcasing her dedication to advancing technology and computing systems.

🏢Professional Experience:

Naima Souane currently serves as a Senior IT Engineer at a state-owned company, leveraging her expertise in computer systems and networks. Her professional journey includes significant contributions to research and development during her academic pursuits. As a Master’s student at the University of Mascara from 2010 to 2011, Naima conducted research culminating in her thesis titled “Interface Service Between Mobile and Cloud Computing.” This involved implementing a simulation using Java and evaluating its outcomes, demonstrating her proficiency in bridging mobile and cloud technologies. Earlier, during her undergraduate years from 2007 to 2008 at the same institution, she developed the PervasiveGrid Simulator (PGS) using Java, a project that advanced research in pervasive computing. Naima’s dedication to innovation and research underscores her commitment to advancing technology within the field of computer science.

🏆Awards:

Naima Souane has received accolades for her pioneering research in computer science. In 2011, she was honored with the Best Research Paper Award for her work on “Interface Service Between Mobile and Cloud Computing,” recognizing her innovative approach to integrating mobile and cloud technologies. Earlier, in 2008, Naima earned the Innovation in Pervasive Computing Award for her development of the PervasiveGrid Simulator (PGS) using Java. These awards highlight her significant contributions to advancing research and technology in the field of computer science, showcasing her expertise and dedication to cutting-edge innovation.