Dr. Yue Han | Computer Science | Best Researcher Award
PhD Student at National University of Defense Technology, China
Yue Han is a dedicated researcher in computer science and technology, currently pursuing his Ph.D. at the National University of Defense Technology. His academic journey began at Zhengzhou University, where he studied Communication Engineering, followed by a graduate program at Guangzhou University in Computer Technology. With a strong background in embedded systems and cybersecurity, Yue Han has actively contributed to various national research projects. His work focuses on cyber threat intelligence, machine learning applications in cybersecurity, and knowledge graph construction, making him a promising scholar in his field.
Profile
Education
Yue Han’s academic career commenced at Zhengzhou University, where he earned his undergraduate degree in Communication Engineering with a GPA of 3.01/4.0. His passion for technology led him to pursue graduate studies at Guangzhou University as part of the prestigious Fang Binxing Class, obtaining a master’s degree in Computer Technology with a GPA of 3.63. Currently, he is advancing his research at the National University of Defense Technology, specializing in Computer Science and Technology. His education has equipped him with expertise in cybersecurity, embedded systems, and artificial intelligence applications.
Experience
Yue Han has extensive experience in academic research and practical applications of computer science. He has participated in multiple National Natural Science Foundation projects and National Key R&D Program projects. His professional skills include embedded system development, cybersecurity research, and artificial intelligence-driven knowledge extraction. Throughout his academic journey, he has engaged in numerous competitions, internships, and research collaborations, demonstrating his capability to apply theoretical knowledge to real-world problems. His role in developing innovative cybersecurity solutions and cyber threat intelligence methodologies highlights his practical expertise.
Research Interest
Yue Han’s primary research interests lie in cybersecurity, knowledge graph construction, and adversarial training techniques for cyber threat intelligence. His work explores how machine learning and artificial intelligence can enhance cybersecurity frameworks, specifically in detecting and preventing cyber threats. He is also interested in information extraction, topic modeling for public opinion analysis, and cybersecurity knowledge verification. His research contributes to developing more secure digital environments by leveraging advanced computational methodologies.
Awards
Yue Han has received several prestigious awards throughout his academic career, recognizing his excellence in research and competitive achievements. Notable accolades include:
- First Prize in the Underwater Robot Operations category at the 2015 China Robot Contest and RoboCup Open.
- First Prize in the Henan Division of the National College Students Mathematical Modeling Competition (2016).
- Multiple scholarships, including the Second-Class Scholarship at Guangzhou University (2018, 2020) and the Zhuoyue Academic Award (2019).
- Outstanding Graduate Certificate from Guangzhou University (2021).
- Recognition for excellence in various national and provincial competitions, demonstrating his technical and analytical skills.
Publications
Yue Han has contributed significantly to academic research with several publications in renowned journals. Some of his notable papers include:
“AT4CTIRE: Adversarial Training for Cyber Threat Intelligence Relation Extraction” – Published in an SCI journal, cited by multiple cybersecurity articles.
“A Survey on Cybersecurity Knowledge Graph Construction” – Published in an SCI journal, widely referenced in cybersecurity knowledge graph research.
“Review: Topic Model Application for Social Network Public Opinion Analysis” – Published in an EI-indexed journal, contributing to social network analysis.
“Attribute Value Extraction Based on Rule Matching” – Published in an EI-indexed journal, focusing on information extraction techniques.
“Method and Apparatus for Tracing Cyber Attack Events Based on Few-shot Learning” – A patent contributing to cybersecurity research.
“Method and Apparatus for Attribute Value Extraction Based on Named Entity Recognition Tools” – Patent focusing on AI-driven data extraction.
“Truth Discovery Method and System for Knowledge Verification” – Patent providing solutions for knowledge integrity verification.
Conclusion
Yue Han is a passionate researcher and technologist with a strong academic background in computer science and cybersecurity. His extensive research, numerous accolades, and practical experience make him a distinguished figure in his field. Through his work in cyber threat intelligence, machine learning applications, and cybersecurity knowledge graphs, he continues to contribute to advancements in digital security. His future endeavors aim to further explore artificial intelligence-driven cybersecurity solutions, ensuring safer and more resilient digital infrastructures.