Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

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Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang , Beijing Information Science and Technology University, China

Prof. Dr. Kang Haiyan is a prominent academic in the field of Information Security, currently serving as a professor in the Department of Information Security at Beijing Information Science and Technology University, China. He earned his Ph.D. in Computer Application Technology from Beijing Institute of Technology in 2005. A senior member of the China Computer Federation and an ACM member, Prof. Kang has received recognition as an outstanding talent in Beijing and serves as an executive member of the Privacy Protection Committee of the China Confidentiality Association. He is the chief of the national first-class major in Information Security and has contributed significantly to the field through over 110 academic publications and six monographs. His research focuses on network security, blockchain technology, and privacy protection, resulting in six provincial and ministerial awards and 25 invention patents. Committed to education, he has been honored with national and local teaching achievement awards and recognized as an Excellent Graduate Thesis Supervisor in Beijing. Additionally, he holds editorial board positions with several academic journals in the field.

Professional Profile:

SCOPUS

Prof. Dr. Kang Haiyan for the Best Researcher Award

Prof. Dr. Kang Haiyan is a remarkable candidate for the Best Researcher Award due to his extensive contributions to the fields of network security, blockchain, and privacy protection, alongside his dedication to academic excellence and leadership in education.

Education

  • Ph.D. in Computer Application Technology
    Beijing Institute of Technology, China (2005) 🎓

Work Experience

  • Professor
    Department of Information Security, Beijing Information Science and Technology University, Beijing, China
  • Chief
    National First-Class Major (Information Security) and Electronic Information (Network and Information Security) 📚
  • Editorial Board Member
    • Journal of Information Security Research
    • Cyberspace Security
    • Journal of Cyberspace Security Science
    • Journal of Beijing University of Information Science and Technology

Achievements

  • Research Awards: 6 provincial and ministerial level awards 🏆
  • Invention Patents: 25 patents for innovative contributions 💡
  • Publications: Over 110 academic papers and 6 monographs 📖

Awards and Honors

  • National Teaching Achievements: 2 Third Prizes 🥉
  • Beijing Teaching Achievements: 1 Second Prize 🥈
  • Title: Excellent Graduate Thesis Supervisor in Beijing 🌟

Publication Top Notes:

Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network

Community overlap discovery algorithm based on industrial big data

Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy

Enhancing data security in massive data sets using blockchain and federated learning: a loosely coupled approach

Research on Federated Sharing Methods for Massive Data in Blockchain

Dr. Ling Li | Information Security Awards | Best Researcher Award

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Dr. Ling Li | Information Security Awards | Best Researcher Award

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

Ling Li is a dedicated researcher and Doctorate at the University of Electronic Science and Technology of China, specializing in cyberspace security. She holds a Master’s degree from Southwest Jiaotong University and a Ph.D. from her current institution. With multiple SCI/EI-indexed publications in esteemed journals and conferences, she has established herself as a thought leader in her field. Ling has filed three Chinese invention patents and leads a project funded by the Central Universities Foundation, while also contributing to a National Natural Science Foundation project. Her research focuses on innovative approaches to federated learning, privacy protection in 6G networks, and statistical relational learning for data cleaning, underscoring her commitment to advancing technology and security in the digital landscape.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Ling Li has a Master’s degree from Southwest Jiaotong University and a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China. She has published numerous SCI/EI-indexed papers in esteemed journals, including MDPI Sensors and Frontiers of Computer Science, and presented her work at significant conferences such as IJCNN and ISNCC. Her contributions include three Chinese invention patents and leadership roles in key research projects funded by national and central universities.

Education 🎓

  • Ph.D. in Cyberspace Security
    University of Electronic Science and Technology of China
    Currently enrolled
  • Master’s Degree in [Field]
    Southwest Jiaotong University
    Completed

Work Experience 💼

  • Key Researcher
    National Natural Science Foundation of China
    Research on Theory and Methods of Resilient Anti-jamming Transmission for Satellite Communications (62371098)
    Ongoing
  • Lead Researcher
    Sichuan Social Science Planning Project
    Research on Data Quality Issues of National Economic Accounting in the Context of Big Data (SC20B127)
    Completed
  • Researcher
    Open Project of Key Laboratory of Computer System State
    Monitoring online public opinion in minority areas based on multi-source spatio-temporal big data
    Completed

Achievements 🏆

  • Published Multiple SCI/EI-indexed Papers
    Journals: MDPI Sensors, Frontiers of Computer Science
    Conferences: IJCNN, ISNCC
  • Filed Three Chinese Invention Patents
    • Knowledge Graph Entity Recognition Method
    • Task Scheduling Method for Heterogeneous Edge Arithmetic Network
    • Automatic Data Cleaning Method

Awards and Honors 🌟

  • National Scholarship
    Awarded for academic excellence during Master’s studies
  • Citations
    Web of Science: Cited 11 times

Publication Top Notes:

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

Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

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Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

Assoc. Prof. Dr. Jing Huang, Beijing university of technology, China

Jing Huang is an Associate Professor at the Faculty of Information Technology at Beijing University of Technology, where he has been a faculty member since July 2007. He holds a strong research focus on blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing. Dr. Huang has received several accolades for his contributions to education and research, including the Students’ Favourite Teacher Award at Beijing University of Technology in July 2021 and the Wu Wenjun AI Science & Technology Award (Second Prize) from the Chinese Association for Artificial Intelligence in January 2021. Additionally, he has been recognized as an Annual Excellent Member of CAAI in the same year. Dr. Huang is actively involved in professional activities, serving as a supervisor and member of the Beijing Association for Artificial Intelligence (BAAI) since 2018 and as Associate Secretary-General and Standing Committee member of the Committee of Education and Popular Science in CAAI since 2020. He is also a member of the evaluation panel for the Beijing Nova Program, contributing to the advancement of artificial intelligence and technology in China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jing Huang

Profile: Dr. Jing Huang is an Associate Professor at the Faculty of Information Technology, Beijing University of Technology, China. With a robust academic background and over 16 years of experience in the field, Dr. Huang has established herself as a leading researcher in areas such as blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing.

Education 🎓

  • Ph.D. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • M.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • B.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)

Work Experience 💼

  • Associate Professor
    Faculty of Information Technology, Beijing University of Technology, Beijing, China
    Duration: July 2007 – Present

Achievements 🌟

  • Students’ Favourite Teacher Award
    Beijing University of Technology, July 2021
  • Wu Wenjun AI Science & Technology Award (Second Prize)
    Chinese Association for Artificial Intelligence, January 2021
  • Annual Excellent Member for CAAI
    Chinese Association for Artificial Intelligence (CAAI), January 2021

Professional Activities 🤝

  • Supervisor and Member
    Beijing Association for Artificial Intelligence (BAAI)
    Duration: 2018 – Present
  • Associate Secretary-General and Standing Committee Member
    Committee of Education and Popular Science in CAAI
    Duration: 2020 – Present
  • Evaluation Panel Member
    Beijing Nova Program

Publication Top Notes

An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning

Smart contracts vulnerability detection model based on adversarial multi-task learning

TOCIM: An improved operant conditioning model with task-oriented curiosity

A Brain-Inspired Model of Hippocampal Spatial Cognition Based on a Memory-Replay Mechanism

Deep Reinforcement Learning Based on Social Spatial–Temporal Graph Convolution Network for Crowd Navigation