Prof. Feng Ke | Network Traffic Prediction | Best Researcher Award

South China University of Technology | China

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📡 PROF. FENG KE: A VISIONARY IN NEXT-GENERATION WIRELESS COMMUNICATIONS

🎓 EARLY ACADEMIC PURSUITS

Prof. Feng Ke embarked on his academic journey with a Ph.D. degree from the School of Electronic and Information Engineering at South China University of Technology (SCUT), Guangzhou, China. His formative years in academia were marked by a strong foundation in electronic engineering, which paved the way for his future as a pioneering researcher in wireless communication.

🧑‍💼 PROFESSIONAL ENDEAVORS

Currently, Prof. Feng Ke is a Full Professor at the School of Electronic and Information Engineering, SCUT. He has held several prestigious roles:

  • Vice Director of the Intelligent Communication Network and Computer Engineering Technology Engineering Center, SCUT

  • Chief Scientist of the Guangdong Chinese Network Electrical Engineering Research Institute

  • Expert Advisor to both the Guangzhou Science and Technology Bureau and the Guangdong Science and Technology Department

Between 2013 and 2014, he also served as a Visiting Scholar at the Department of Electronic Engineering, Missouri University of Science and Technology, Rolla, USA, enhancing his global academic exposure and expanding his research collaborations.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK TRAFFIC PREDICTION

Prof. Feng Ke has significantly advanced the frontiers of wireless communication. His research interests are focused on:

  • Next-Generation Wireless Communications

  • Intelligent Wireless Sensing

  • Joint Sensing and Communications

  • Network Traffic Prediction

  • Centrality Measures and Network Flow Analysis

He has published over 100 research papers in high-impact journals and premier conferences such as IEEE Transactions on Communications (TCOM), IEEE Transactions on Vehicular Technology (TVT), and IEEE GLOBECOM.

🌐 IMPACT AND INFLUENCE

Prof. Feng Ke's work has had a transformative influence on the field of wireless communication and network systems. His leadership is evident in his roles as:

  • Technical Program Committee (TPC) Chair

  • Co-chair

  • Invited Speaker at numerous global conferences

He has mentored and supervised students whose works have earned Best Paper Awards, reflecting his dedication to academic excellence and future-oriented mentorship.

📚 ACADEMIC CITES

With more than 100 authored or coauthored papers, Prof. Feng Ke has made a significant contribution to the body of knowledge in electronic and wireless engineering. His papers are well-cited, indicating a strong academic footprint and relevance across domains like wireless sensing and network optimization.

🏆LEGACY AND FUTURE CONTRIBUTIONS

Prof. Feng Ke is poised to leave a lasting legacy through his continued research in joint sensing and communication technologies, which are pivotal in the evolution of smart cities, autonomous systems, and next-gen 6G networks. His influence extends beyond academia, contributing to policy-making and technology deployment in China through advisory roles in key governmental technology departments.

His future contributions are expected to drive innovations that bridge communication and sensing technologies, empowering intelligent systems and optimizing network traffic prediction models for high-speed, reliable connectivity.

🔍OTHER IMPORTANT HIGHLIGHTS

  • 🌟 Global Collaborator: Experience in international academia through a visiting position in the United States

  • 🏛️ Institution Builder: Contributed to institutional excellence at SCUT and Guangdong R&D centers

  • 👨‍🏫 Mentor: Groomed students who received accolades at top-tier conferences

  • 📈 Thought Leader: Active in steering discussions on wireless intelligence and future networking paradigms

📑NOTABLE PUBLICATIONS

"Optimal caching scheme in D2D networks with multiple robot helpers" 

  • Authors: Y Lin, H Song, F Ke, W Yan, Z Liu, F Cai
  • Journal: Computer communications
  • Year: 2022

"Age of information-aware scheduling for dynamic wireless body area networks" 

  • Authors: Z Zhou, F Ke, K Liu, J Tan
  • Journal: IEEE Sensors Journal
  • Year: 2023

"Task offloading, caching and matching in ultra-dense relay networks" 

  • Authors: F Ke, Y Lin, Y Liu, H Zhou, M Wen, Q Zhang
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2022

"Resource allocation for MIMO full-duplex backscatter assisted wireless-powered communication network with finite alphabet inputs" 

  • Authors: F Ke, Y Peng, Y Peng, DWK Ng
  • Journal: IEEE Transactions on Communications
  • Year: 2020

"A feature points extraction algorithm based on adaptive information entropy"

  • Authors: D Yin, S Zhou, P Wang, M Lin, H Song, F Ke, K Luo
  • Journal: IEEE Access
  • Year: 2020
Feng Ke | Network Traffic Prediction | Best Researcher Award