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. πŸš€

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. πŸ…

Education

πŸŽ“ 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 Master’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. Li’s education has provided a strong foundation for her innovative contributions to the rapidly evolving field of cybersecurity and intelligent systems. πŸ“˜

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. 🌐

Awards and Honors

πŸ† Dr. Ling Li’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. πŸŽ–οΈ

Research Focus

πŸ” Dr. Li’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. 🌟

Publication Top Note:

Title: Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
Year: 2024

 

 

 

Jinyan Wang | Information Security | Best Researcher Award

Jinyan Wang | Information Security | Best Researcher Award

Dr. Jinyan Wang, Guangxi Normal University, China.

πŸŽ“Β Dr. Jinyan Wang is a renowned professor at the School of Computer Science and Engineering, Guangxi Normal University, China. With expertise inΒ machine learningΒ andΒ information security, her research addresses critical challenges in data analysis and digital protection.Β πŸ”Β She has authored over 50 impactful publications in prestigious international journals and conferences, contributing significantly to the advancement of computer science.Β πŸ“šΒ Dr. Wang’s academic journey includes advanced degrees in computer science and a visiting scholar position at East China Normal University. 🌏 As an educator and researcher, she is dedicated to fostering innovation and mentoring future technology leaders.Β πŸ’»βœ¨

Publication Profile

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Education & Experience:

  • πŸŽ“Β B.Sc.Β in Computer Science and Information Technology, Northeast Normal University (2005).
  • πŸŽ“Β M.Sc.Β in Computer Science and Information Technology, Northeast Normal University (2008).
  • πŸŽ“Β Ph.D.Β in Computer Science and Information Technology, Northeast Normal University (2011).
  • 🏫 Professor, School of Computer Science and Engineering, Guangxi Normal University, China (Current).
  • 🌏 Visiting Scholar, East China Normal University, China (2019).

 

Suitability for the Award

Professor Jinyan Wang is a highly qualified and accomplished researcher, making her an excellent candidate for the Best Researcher Award. With a solid academic background, including a Ph.D. in Computer Science and Information Technology, she has significantly contributed to the fields of machine learning and information security. Her extensive research output, with over 50 publications in prestigious international journals and conferences, demonstrates her expertise and impact. Her experience as a visiting scholar further enhances her global research perspective. Professor Wang’s dedication to advancing knowledge in her fields of interest positions her as a leading figure in academic research.

Professional Development

🌟 Dr. Jinyan Wang has established herself as a leading figure in computer science, specializing inΒ machine learningΒ andΒ information security. With over 50 research publications in renowned international journals and conferences, she has significantly advanced these fields.Β πŸ“ˆΒ Her academic journey includes earning three degrees from Northeast Normal University and gaining international exposure as a visiting scholar at East China Normal University. Beyond her research, Dr. Wang is dedicated to mentoring the next generation of computer scientists, contributing to both education and innovation in technology.Β πŸŽ“πŸ’»

Research Focus

πŸ”Β Dr. Jinyan Wang’s research centers onΒ machine learningΒ andΒ information security, two critical and evolving areas in computer science. Her work in machine learning explores advanced algorithms to enhance data analysis, predictive modeling, and AI applications.Β πŸ€–Β Simultaneously, her contributions to information security aim to safeguard digital systems and protect sensitive data from cyber threats.Β πŸ”Β With over 50 publications in leading journals and conferences, Dr. Wang is at the forefront of innovative solutions, combining theoretical insights with practical applications to address real-world challenges.Β πŸŒπŸ“Š

Awards and Honors

  • πŸ†Β Best Paper Award – Recognized for excellence in vision-language research.
  • πŸ₯‡Β Graduate Fellowship – National Tsing Hua University, Taiwan.
  • πŸ₯‰Β Outstanding Thesis Award – Shaanxi Normal University, China.
  • πŸŽ–οΈΒ Research Excellence Recognition – vivo AI Lab, 2019.
  • 🌟 Academic Merit Scholarship – Southwest Minzu University, China.

Publication Highlights

  1. A perturb biogeography based optimization with mutation for global numerical optimizationΒ – Cited by 106 (2011)Β πŸ“Š
  2. Two privacy-preserving approaches for publishing transactional data streamsΒ – Cited by 36 (2018)Β πŸ”
  3. Fuzzy multiset finite automata and their languagesΒ – Cited by 34 (2013)Β πŸ”„
  4. Real-time reversible data hiding with shifting block histogram of pixel differences in encrypted imageΒ – Cited by 31 (2019)Β πŸ–ΌοΈ
  5. Two privacy-preserving approaches for data publishing with identity reservationΒ – Cited by 24 (2019)Β πŸ›‘οΈ
  6. Soft polygroupsΒ – Cited by 22 (2011)Β πŸ“
  7. Two approximate algorithms for model countingΒ – Cited by 21 (2017)Β πŸ”’