Mr. Zhaoguo Wang | Cybersecurity | Best Researcher Award

Mr. Zhaoguo Wang | Cybersecurity | Best Researcher Award

Mr. Zhaoguo Wang | Harbin Institute of Technology | China

Mr. Zhaoguo Wang Ph.D., is a leading researcher in the field of computer science and technology with a strong focus on industrial internet security and data security. His academic journey began with a doctoral degree in Computer Science and Technology from the prestigious Harbin Institute of Technology, where he laid a strong foundation in advanced computing methodologies and cybersecurity research. Following his Ph.D., he pursued postdoctoral studies at Tsinghua University, where he honed his expertise in innovative approaches to safeguarding digital ecosystems. His academic and professional trajectory has been marked by excellence and recognition, culminating in distinguished appointments at several leading institutions. He currently serves as a Distinguished Researcher at Peking University Shenzhen Graduate School, where he also contributes as a Shenzhen High-Level Talent and an appointed expert under the “Pengcheng Peacock Plan.”

Professional Profile

Scopus

Summary of Suitability for Best Researcher Award 

Mr. Zhaoguo Wang is a distinguished researcher in computer science, data security, and industrial internet security, with a proven record of academic excellence, innovation, and leadership. With a Ph.D. from Harbin Institute of Technology and postdoctoral experience at Tsinghua University, he currently holds key academic and administrative positions, including Deputy Director of the Data Security Research Institute and Director of multiple laboratories at HIT (Shenzhen). Recognized as a Shenzhen High-Level Talent and a Pengcheng Peacock Plan appointee, Mr. Zhaoguo Wang exemplifies the qualities of a top researcher in both academia and applied technology.

Education

Mr. Zhaoguo Wang academic path is rooted in one of China’s most renowned engineering institutions, the Harbin Institute of Technology, where he earned his doctoral degree in Computer Science and Technology. This rigorous training equipped him with the skills to address emerging challenges in digital security and large-scale data protection. His pursuit of advanced research led him to Tsinghua University for postdoctoral work, where he expanded his expertise in data compliance, network security, and industrial internet frameworks. This combination of formal training and research immersion shaped him into an authority on information security and data governance.

Experience

Mr. Zhaoguo Wang has held numerous influential roles across academia and industry. He currently serves as Deputy Director of the Data Security Research Institute at Harbin Institute of Technology (Shenzhen), while also leading two specialized laboratories: the Data Compliance Laboratory and the Data Elements Laboratory. His leadership extends beyond the university setting as he actively contributes to the evaluation of provincial and municipal projects, serving as a review expert for organizations such as the Guangdong Provincial Science and Technology Projects, Shenzhen Science and Technology Innovation Commission, and the Shenzhen Economic and Information Commission. Over the course of his career, he has overseen or played a critical role in more than 40 funded projects, including national key R&D programs, initiatives supported by the National Natural Science Foundation of China, the National Science and Technology Support Program, and strategic projects from the State Grid Corporation. His successful acquisition of funding exceeding RMB 100 million reflects both his research credibility and ability to lead large-scale collaborative efforts.

Research Interests

The central theme of Mr. Zhaoguo Wang strial networks, big data, and compliance, emphasizing frameworks for secure communication, governance of sensitive data, and resilience against cyber threats. Through his directorship in laboratories dedicated to data compliance and data elements, he has advanced applied research that not only addresses theoretical challenges but also provides actionable solutions to industry partners, ensuring that research outcomes translate into practical, real-world benefits.

Awards

Mr. Zhaoguo Wang research excellence has been recognized through numerous honors. He received the First Prize in the Beijing Division of the China Innovation and Entrepreneurship Competition, highlighting his innovative contributions to data-driven technologies. In addition, he earned the Second Prize for Scientific and Technological Progress in Shenzhen, further validating the impact of his research in advancing the city’s role as a hub for digital innovation and cybersecurity leadership.

Publication Top Notes

1. Understanding the Influence of Extremely High-Degree Nodes on Graph Anomaly Detection

Year: 2024

2. Hovering of Bi-Directional Motor Driven Flapping Wing Micro Aerial Vehicle Based on Deep Reinforcement Learning

Year: 2024

Conclusion

Mr. Zhaoguo Wang has established himself as a distinguished figure in the field of computer science with a strong emphasis on industrial internet and data security. His blend of academic excellence, visionary research, and leadership in laboratory and institutional settings has made him a driving force in advancing secure digital ecosystems. Through his contributions to funded projects, pioneering research outputs, and award-winning innovations, he continues to shape the future of data governance and cybersecurity. His scholarly publications and patents further solidify his position as a thought leader, while his role in provincial and municipal project evaluations demonstrates his broader influence on national and regional science and technology development.

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

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