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.

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

MSc in Microbiology
Kumoh National Institute of Technology, South Korea
📅 February 2023

Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
Advisor: Professor Wansu Lim

BSc in Mathematics
Delta State University, Abraka, Nigeria
📅 October 2019

Second Class Upper Division
Thesis: Counting Techniques in Discrete Mathematics
Advisor: Dr. J.S. Apanapudor

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

Worked on lab projects under the supervision of Professor Wansu Lim

Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊

Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️

Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸

Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄

Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗

Applied data fusion techniques for face and speech emotion recognition 🤖

Generated artificial data for ultra-capacitor projects 🔋