Posted on by sciencefather
83 / 100
Powered by Rank Math SEO
SEO Score

Prof. yong Fang | Cyber Security | Best Researcher Award

Professor at Sichuan University, China 

Prof. Yong Fang is a prominent figure in the field of Cyber Science and Engineering at Sichuan University, China. With over 70 SCI-indexed publications, including more than 10 highly cited papers, his expertise spans cyber security, web security, Internet of Things (IoT), big data, and artificial intelligence. He has an outstanding academic record and is a key contributor to numerous advancements in the field. His passion for research has resulted in substantial contributions to both theoretical and practical aspects of cyber science. Prof. Fang is highly regarded for his innovative approach and academic leadership.

professional profiles📖

Google scholar

Scopus

Education 🎓

Prof. Yong Fang received his Ph.D. from Sichuan University, Chengdu, China, in 2010. His educational background is firmly rooted in cyber science, with a focus on cutting-edge areas like cyber security, IoT, and AI. His studies have provided a strong foundation for his subsequent career in both academia and research, which has allowed him to make significant contributions to the scientific community. His commitment to continual learning and research excellence has earned him recognition as a leading academic figure.

work Experience💼

Prof. Yong Fang has served as a professor in the School of Cyber Science and Engineering at Sichuan University since 2010. With over a decade of experience, he has played a crucial role in the development and implementation of numerous research projects in cyber security, IoT, and AI. His expertise in these areas has been essential for advancing research in the field. Additionally, Prof. Fang holds editorial positions and has been involved in the publication of over 70 research papers, contributing significantly to the academic community.

Awards and Honors

Prof. Fang has been recognized for his groundbreaking work in cyber science and engineering with numerous accolades, including being the recipient of funding from the National Natural Science Foundation of China. His research has garnered over 1,800 citations and continues to influence advancements in his fields of expertise. His innovative approach to solving complex problems in cyber security and AI has earned him recognition both nationally and internationally. He has also received invitations for editorial roles in high-impact journals.

Research Focus

Prof. Fang’s primary research interests include cyber security, web security, Internet of Things (IoT), big data, and artificial intelligence. His work aims to address key challenges in these areas, such as detecting and mitigating cross-site scripting (XSS) attacks through advanced methods like few-shot graph classification. Prof. Fang is committed to pushing the boundaries of knowledge in these fields, with ongoing projects funded by the National Natural Science Foundation of China, and has contributed to many influential research papers.

Skills 

Prof. Yong Fang possesses a wide range of skills in cyber security, web security, IoT, big data analytics, and artificial intelligence. His technical expertise enables him to develop innovative solutions to complex problems in these areas. Prof. Fang is also skilled in leading and managing research projects, collaborating with industry partners, and mentoring students. His ability to synthesize cutting-edge research and translate it into practical applications is one of his key strengths. He also excels in academic writing, with numerous publications in high-impact journals.

Conclusion✅

 Professor Yong Fang is highly deserving of the Research for Best Researcher Award due to his exceptional contributions to the fields of cyber security, IoT, and big data. His innovative approaches, vast publication record, and significant research impact position him as a leading figure in his domain. With continued growth in research diversity and public engagement, his work has the potential to further shape the future of technology and cybersecurity. Therefore, he is an ideal candidate for the Best Researcher Award.

 

📚Publications to Noted

A machine learning based framework for identifying influential nodes in complex networks

Citations: 59

Year: 2020

Journal: IEEE Access

Credit card fraud detection based on machine learning

Citations: 54

Year: 2024

Journal: Proceedings of the 2024 2nd International Conference on Image, Algorithms and Data Science

WOVSQLI: Detection of SQL injection behaviors using word vector and LSTM

Citations: 48

Year: 2018

Journal: Proceedings of the 2nd International Conference on Cryptography, Security, and Privacy

DeepDetectNet vs RLAttackNet: An adversarial method to improve deep learning-based static malware detection model

Citations: 47

Year: 2020

Journal: PLOS One

Research on malicious JavaScript detection technology based on LSTM

Citations: 47

Year: 2018

Journal: IEEE Access

GraphXSS: an efficient XSS payload detection approach based on graph convolutional network

Citations: 45

Year: 2022

Journal: Computers & Security

Detecting malicious JavaScript code based on semantic analysis

Citations: 45

Year: 2020

Journal: Computers & Security

TAP: A static analysis model for PHP vulnerabilities based on token and deep learning technology

Citations: 42

Year: 2019

Journal: PLOS One

Detecting webshell based on random forest with fasttext

Citations: 42

Year: 2018

Journal: Proceedings of the 2018 International Conference on Computing and Artificial Intelligence

A study on Web security incidents in China by analyzing vulnerability disclosure platforms

Citations: 41

Year: 2016

Journal: Computers & Security

RLXSS: Optimizing XSS detection model to defend against adversarial attacks based on reinforcement learning

Citations: 37

Year: 2019

Journal: Future Internet

 

Yong Fang | Cyber Security | Best Researcher Award

You May Also Like