Zheyi Chen | Best Researcher Award - Biography
Early Academic Pursuits:
Prof Dr. Zheyi Chen embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Shanxi University, China, where he laid the foundation for his future endeavors. He continued his education with a Master's degree in Computer Science and Technology from Tsinghua University, China, under the guidance of Prof. Yongwei Wu.
For his doctoral studies, Prof. Chen pursued a Ph.D. in Computer Science at the University of Exeter, U.K., from September 2017 to October 2021. During this period, he worked under the supervision of Prof. Geyong Min and Dr. Jia Hu, contributing to the field of computer science and further honing his research skills.
Professional Endeavors:
Following his academic pursuits, Prof Dr. Zheyi Chen transitioned into the role of an Associate Professor and Ph.D. Supervisor at the College of Computer and Data Science, Fuzhou University, China, from December 2021 to January 2023. Subsequently, he assumed the position of a Professor and Ph.D. Supervisor in the same department from February 2023 onwards, signifying a progression in his academic career.
Contributions and Research Focus:
Prof Dr. Chen's research interests encompass Cloud/Edge Computing, Resource Optimization, Deep Learning, and Deep Reinforcement Learning. His notable contributions include leading research projects such as "Research on Efficient and Adaptive Resource Optimization in Cloud-Edge Environments" and "Research and Application of Key Technologies for Resource Optimization and Data Processing in Cloud-Edge Collaborative Environment."
He has significantly advanced the understanding of resource allocation in mobile edge computing and the development of key technologies for big data intelligence. His expertise extends to the exploration and practice of training postgraduate students aligned with the "Digital Fujian" strategy.
Accolades and Recognition:
Prof Dr. Zheyi Chen's contributions to the field have been acknowledged through prestigious awards, including the "World’s Top 2% Scientists" in 2023, the "First Prize of Fujian Science and Technology Progress" in 2021, and multiple "First Prizes for Outstanding Papers" at the Annual Academic Conference of Fujian Computer Society in 2021 and 2023.
Impact and Influence:
As an active member of IEEE, ACM, and CCF, Prof. Chen has played a pivotal role in the academic community. His involvement in conference organization, as seen in his roles as Web and System Management Chair for IEEE SustainCom-2020 and IEEE SmartCity-2018, highlights his commitment to fostering scholarly exchange.
He has also served as a reviewer for reputable journals and conferences, including IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, and IEEE/CAA Journal of Automatica Sinica, contributing to the rigorous evaluation and dissemination of research in his field.
Legacy and Future Contributions:
Prof Dr. Zheyi Chen's legacy is marked by his leadership in influential research projects, academic recognition, and service to the community. His commitment to advancing knowledge in Cloud/Edge Computing and related fields positions him as a key figure in shaping the future of computer science. As he continues to lead research projects, mentor students, and contribute to scholarly activities, Prof. Chen is poised to leave a lasting impact on the field and inspire future generations of researchers.
Notable Publications:
- Device Access, Subchannel Division, and Transmission Power Allocation for NOMA-Enabled IoT Systems IEEE Internet of Things Journal, 2023, 10(19), pp. 17047–17057
Load Balancing for Multiedge Collaboration in Wireless Metropolitan Area Networks: A Two-Stage Decision-Making Approach IEEE Internet of Things Journal, 2023, 10(19), pp. 17124–17136
FireFace: Leveraging Internal Function Features for Configuration of Functions on Serverless Edge Platforms Sensors, 2023, 23(18), 7829
Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning IEEE Communications Magazine, 2023, 61(6), pp. 118–123
Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks IEEE International Conference on Communications, 2023, 2023-May, pp. 809–814
Profit-Aware Cooperative Offloading in UAV-Enabled MEC Systems Using Lightweight Deep Reinforcement Learning IEEE Internet of Things Journal, 2023
Citations:
A total of 921 citations for his publications, demonstrating the impact and recognition of his research within the academic community.
- Citations 921
- h-index 13
- i10-index 15