Ke Xiong | Internet | Outstanding Scientist Award

Prof. Ke Xiong | Internet | Outstanding Scientist Award

Beijing Jiaotong University | China

Ke Xiong received his B.S. and Ph.D. degrees from Beijing Jiaotong University (BJTU), Beijing, China, in 2004 and 2010, respectively. He worked as a Postdoctoral Research Fellow in the Department of Electronics Engineering at Tsinghua University from April 2010 to February 2013, and since March 2013 he has served BJTU as a Lecturer, Associate Professor, and currently as a Full Professor and Vice Dean of the School of Computer and Information Technology. From September 2015 to September 2016, he was a Visiting Scholar at the University of Maryland, College Park, USA. He has published more than 200 academic papers in refereed journals and conferences, and his research interests span wireless cooperative networks, wireless powered networks, and network information theory. Prof. Xiong holds numerous key academic and industry leadership roles, including Council Member of the China Software Industry Association; Executive Secretary-General of the National Smart Transportation and Intelligent Connected Vehicles Industry-Education Integration Community; Director and Chief Expert of the Industrial Internet Association Think Tank under the China Mobile Communications Association; Director of the IoT Work Committee Think Tank under the Internet Society of China; and membership in several major national technical committees. He is a Distinguished Expert at both the ZTE–Beijing Jiaotong University 5G Joint Laboratory and the Peking University–Hebei Handan Research Institute, a member of the China Computer Federation (CCF), and a senior member of the Chinese Institute of Electronics (CIE) and the Chinese Association for Artificial Intelligence (CAAI).

Profiles: Orcid | Google Scholar

Featured Publications

"Age of Information Minimization in Vehicular Edge Computing Networks: A Mask-Assisted Hybrid PPO-Based Method", X Qin, Z Zhang, C Meng, R Dong, K Xiong, P Fan, Network 5 (2), 2025.

"Joint Aggregation Node Selection and Power Adjustment for Federated Learning in IoV", Z Sang, C Meng, W Yan, B Gao, K Xiong, P Fan, 2025 5th International Conference on Computer, 2025.

"Maximizing Harvested Energy in Green Energy Powered Multi-user MISO RF-based WPT", X Zhang, K Xiong, Q Wang, W Chen, P Fan, B Ai, KB Letaief, IEEE Transactions on Vehicular Technology, 2025.

"SDVformer: A Resource Prediction Method for Cloud Computing Systems", S Liu, K Xiong, Y Li, Z Zhang, Y Zhang, P Fan, Computers, Materials & Continua 84 (3), 2025.

"Toward Sustainable Low-Carbon IoT for 6G: Green Energy-Charged WPCN", X Zhang, K Xiong, J Yang, W Chen, P Fan, DWK Ng, KB Letaief IEEE Network, 2025.

Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam , BIT Campus, India

Dr. V.M. Priyadharshini is a seasoned academician with over 20 years of experience in Information Technology 🎓💻. Currently serving as an Assistant Professor (Selection Grade) at AUBIT, she holds a Ph.D. in Information Technology and specializes in Social Network Analysis 🌐. Her contributions span across intelligent systems, geospatial applications, and privacy-preserving frameworks, reflecting her commitment to impactful, interdisciplinary research 🔍📊. With numerous publications in reputed international journals and conferences, she continuously explores innovative solutions for modern-day digital challenges 🚀📡. Dr. Priyadharshini also mentors budding researchers while actively contributing to technological advancement in academia 🧑‍🔬📚.

Professional Profile:

Orcid

Suitability Of Best Researcher Award

Dr. V.M. Priyadharshini is an exemplary candidate for the Best Researcher Award based on her outstanding academic contributions, interdisciplinary research, and commitment to addressing pressing digital challenges. With over two decades of experience in Information Technology, Dr. Priyadharshini has developed a strong academic and professional profile, which includes notable achievements in Social Network Analysis (SNA), geospatial data analysis, and privacy-preserving frameworks.

🎓 Education and Experience 

  • 🎓 B.Tech in Information Technology

  • 🎓 M.Tech in Information Technology

  • 🎓 Ph.D. in Information Technology

  • 🧑‍🏫 Assistant Professor (Selection Grade) – Department of IT, AUBIT

  • 🗓️ 20 Years of Professional Experience in academia and research

📈 Professional Development

Dr. Priyadharshini has consistently enhanced her academic and research profile through active participation in scholarly publications and technology forums 📘🧠. Her recent works in geospatial data analysis, machine learning, and spam detection in online networks exemplify her engagement with real-world challenges through a research lens 🌍🤖. She collaborates with peers across disciplines and contributes to conferences and workshops on privacy, cyber safety, and AI applications 🛡️🧑‍💼. By integrating teaching and research, she ensures students stay updated with emerging trends while fostering innovation in the field of information technology 🎯📡.

🔬 Research Focus Category

Dr. Priyadharshini’s primary research lies in Social Network Analysis (SNA) and its applications in cyber-security and intelligent systems 🌐🔐. Her work involves analyzing complex user behaviors, detecting malicious profiles, and safeguarding digital communication through adaptive frameworks 💬🧠. She also delves into machine learning, spam detection, and geospatial risk assessment, bringing a multi-disciplinary approach to digital and environmental data analytics 🌎📊. Through applied computational models, she seeks to solve pressing issues in privacy protection, digital pollution monitoring, and smart data processing, pushing the envelope in IT-enabled societal resilience 📡🧬.

🏆 Awards and Honors 

  • 🏅 Published in high-impact international journals such as ScienceDirect, Springer, and IOS Press

  • 📖 Recognized contributor to IEEE Conferences and Proceedings

  • 🌟 Reputed faculty at AUBIT with 20 years of teaching and research excellence

  • 🧪 Lead researcher in government-funded academic projects

Publication Top Notes:

Title: Adaptive Framework for Privacy Preserving in Online Social Networks
Journal: Wireless Personal Communications
Publication Date: December 20, 2021
DOI: 10.1007/s11277-021-08822-4
Authors: V. M. Priyadharshini, A. Valarmathi

🔍 Summary in Simple Terms:

This research addresses the growing concern of privacy in online social networks (OSNs) like Facebook, Twitter, and Instagram. The authors propose an adaptive privacy-preserving framework that helps users control how much and what kind of personal information is shared with others.