Dr. Ling Li | Information Security | Best Researcher Award

Dr. Ling Li | Information Security | Best Researcher Award

Dr. Ling Li, University of Electronic Science and Technology of China, China

Dr. Ling Li is an accomplished researcher at the University of Electronic Science and Technology of China, specializing in cyberspace security and advanced AI techniques. With a Ph.D. in Cyberspace Security and a strong academic foundation, Dr. Li has made significant contributions to the fields of cloud-edge computing, federated learning, and 6G network security. Her research has garnered attention for its innovative approaches to privacy protection, data cleaning, and multi-task scheduling in heterogeneous edge networks. She has published extensively in top-tier journals and conferences and holds multiple patents in the field. Dr. Li’s work continues to shape the future of secure, intelligent network systems, and she is recognized for her leadership in advancing next-generation technologies. ๐Ÿš€

Professional Profile:

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Suitability for the Award

Dr. Ling Li is highly suitable for the Best Researcher Award due to her pioneering contributions to cybersecurity, federated learning, and network security. Her innovative work on improving model accuracy and privacy in non-IID environments, as well as her advancements in 6G network security, position her as a leader in these cutting-edge fields. With several high-impact publications, multiple patents, and leadership roles in national projects, Dr. Li has demonstrated excellence in both research and practical applications. Her continuous efforts to push the boundaries of secure and intelligent network systems make her an ideal candidate for this prestigious award. ๐Ÿ…

Education

๐ŸŽ“ Dr. Ling Li holds a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China, where she specialized in cybersecurity and intelligent network systems. Before pursuing her Ph.D., she earned her Masterโ€™s degree from Southwest Jiaotong University, laying the groundwork for her research in network security and artificial intelligence. Her academic journey has been focused on blending theoretical knowledge with practical applications, particularly in the areas of privacy protection and federated learning. Dr. Liโ€™s education has provided a strong foundation for her innovative contributions to the rapidly evolving field of cybersecurity and intelligent systems. ๐Ÿ“˜

Experience

Dr. Li has extensive academic and research experience, currently serving as a key researcher at the University of Electronic Science and Technology of China. She leads cutting-edge projects on cloud-edge computing, federated learning, and 6G network security. Her expertise has made her a pivotal figure in the development of innovative approaches for enhancing privacy protection in non-IID environments. Dr. Li has also been involved in key national projects, including a Central Universities Foundation initiative and a National Natural Science Foundation project, where she serves as a lead researcher. Her experience spans across cybersecurity, AI, and data analytics, making her a leading expert in these domains. ๐ŸŒ

Awards and Honors

๐Ÿ† Dr. Ling Liโ€™s exceptional research has earned her several honors, including recognition for her groundbreaking work in federated learning and network security. She has published multiple SCI/EI-indexed papers in prestigious journals such as MDPI Sensors and Frontiers of Computer Science, and presented at major conferences like IJCNN and ISNCC. Additionally, Dr. Li holds three Chinese invention patents, underscoring her innovation in the field. Her leadership in national and university-level projects has positioned her as a trailblazer in her field, contributing significantly to the advancement of cybersecurity and intelligent network systems. ๐ŸŽ–๏ธ

Research Focus

๐Ÿ” Dr. Liโ€™s research focus lies at the intersection of cybersecurity, artificial intelligence, and intelligent network systems. She has pioneered new methods in cloud-edge-end federated learning to improve model accuracy and privacy protection, particularly in non-IID environments. Her work extends to the development of statistical relational learning techniques for automatic data cleaning and repair. Furthermore, Dr. Li is at the forefront of 6G network security research, with a focus on privacy protection and multi-task scheduling optimization in heterogeneous edge networks. Her contributions have significant implications for the future of secure, intelligent networks. ๐ŸŒŸ

Publication Top Note:

Title: Cloudโ€“Edgeโ€“End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
Year: 2024

 

 

 

Prof. Hao Tian | Communication security | Best Researcher Award

Prof. Hao Tian | Communication security | Best Researcher Award

Prof. Hao Tian, Hubei Key Laboratory of Digital Finance Innovation, China

Prof. Hao Tian received the Ph.D. degrees in Cartography and Geographic information Engineering from Wuhan University, Wuhan, China, in 2014. He currently works as a professor in the School of Information Engineering, Hubei University of Economics, Wuhan. His main research directions are machine learning, computational intelligence, semantic technology, etc. In recent years, he has hosted and participated in 12 scientific research projects such as the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

๐ŸŒ Professional Profile:

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๐ŸŽ“ Education:

Ph.D. in Cartography and Geographic Information Engineering, Wuhan University, 2014

๐Ÿ” Research Interests:

Hao Tian’s primary research interests lie in machine learning, computational intelligence, and semantic technology.

๐Ÿ”ฌ Research Accomplishments:

He has an extensive research portfolio, having hosted and participated in 12 scientific research projects, including those funded by the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

๐Ÿ“š Publications:

Hao Tian has authored 2 academic monographs and published over 30 papers in prestigious domestic academic journals such as “Applied Energy”, “IEEE Transactions on Geoscience and Remote Sensing”, and “Process Safety and Environmental Protection”. His contributions have been recognized with ESI Highly Cited awards three times and he has a selected ESI Hot Paper to his credit.

Scopus Metrics:

  • ๐Ÿ“ย Publications: 14 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 188 citations for his publications, reflecting the widespread impact and recognition of Prof. Hao Tianโ€™s research within the academic community.

Publication Top Notes:

  1. Title: Hemisphere-separated Cross-connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis
    • Journal: IEEE Access
    • Year: 2023
  2. Title: Bi-objective optimization and environmental assessment of SOFC-based cogeneration system: performance evaluation with various organic fluids
    • Journal: Process Safety and Environmental Protection
    • Year: 2023
  3. Title: Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization
    • Journal: Energy
    • Year: 2023
  4. Title: Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2022