外籍教师

所在位置: 首页 > 师资队伍 > 外籍教师 > 正文

基本资料

Ali Aljofey

学历/学位:博士

职称/职务:讲师

Research Interest: Data Mining, Information Security, Network Data Analysis, Artificial Intelligence, Machine Learning, Phishing Websites Detection, Malware Detection, Blockchain Ethereum and Bitcoin,Deep Learning, Ponzi Schemes Detection.

Education:

Ph.D (Computer Application and Technology) (2019-2022) University of Chinese

Academy of Sciences, Shenzhen, CHINA. “Fraud Detection Methods for Websites and

Ethereum Smart Contracts”.

 M.Sc (Computer Science) (2015-2018) Thamar University, Yemen. “Analysis of Accident

Times for Highway Locations Using K-Means Clustering and Decision Rules Extracted from

Decision Trees”.

 BS (Computer Information Systems) (2006-2010) Sana'a University, Sana'a, YEMEN.

4 years program.

03-2023 to 02-2025 Postdoctoral Research Fellow at Shenzhen University, College of

Mathematics and Statistics.

 2019-2023, Ph.D. student in Computer Applications in the High-Performance Data Mining

Laboratory, Department of Computer Science, at the Shenzhen Institute of Advanced

Technology, University of Chinese Academy of Sciences (UCAS), China.

 2018-2019, Lecturer, Teaching computer science principles and some programming languages

at the Department of Information Technology of Sana'a University, Sana'a, Yemen.

 2015-2017, Lecturer, the Department of Computer Science at a Number of Private

Universities and Institutes in Sana'a, Yemen.

 2011-2014, Assistant Teacher, Department of information system, Faculty of computer

sciences and information technology, Sana’a University, Yemen.

Some of my publications:

Aljofey, A., Bello, S. A., Lu, J., Chen Xu, C. “BERT-PhishFinder: A Robust Model for Accurate

Phishing URL Detection with Optimized DistilBERT”. In IEEE transactions on dependable and

secure computing august, 2025, DOI: https://doi.org/10.1109/TDSC.2025.3545771.

Aljofey, A., Bello, S. A., Lu, J., Chen Xu, C. “Comprehensive phishing detection: A multichannel approach with variants TCN fusion leveraging URL and HTML features”. Journal of

Network and Computer Applications, Elsevier, Volume 238, 2025, 104170, ISSN 1084-8045,

https://doi.org/10.1016/j.jnca.2025.104170.

Aljofey, A., Jiang, Q., Rasool, A. et al. “An effective detection approach for phishing websites

using URL and HTML features”. Scientific Reports 12, 8842 (2022).

https://doi.org/10.1038/s41598-022-10841-5

Aljofey, A., Jiang, Q., Qu, Q., Huang, M., Niyigena, J.-P. “An Effective Phishing Detection

Model Based on Character Level Convolutional Neural Network from URL”. Electronics (2020),

9, 1514. http://dx.doi.org/10.3390/electronics9091514

Aljofey, A., Jiang, Q., Qu, Q. “A Supervised Learning Model for Detecting Ponzi Contracts in

Ethereum Blockchain”. In Proceedings of the 3rd International Conference on Big Data and

Security, ICBDS 2021, Shenzhen, China, 26–28 November 2021; pp. 1–16.

https://doi.org/10.1007/978-981-19-0852-1_52

Aljofey, A.; Rasool, A., Jiang, Q., Qu, Q. “A Feature-Based Robust Method for Abnormal

Contracts Detection in Ethereum Blockchain”. Electronics (2022), 11, 2937.

https://doi.org/10.3390/electronics11182937

Email: aljofey@gdufs.edu.cn, alialjofey4@gmail.com

中国广州市白云区白云大道北2号 510420 (北校区) | 中国广州市番禺区小谷围广州大学城 510006 (南校区)

联系方式:(020) 39328032(南校区)

广东外语外贸大学信息科学与技术学院 (网络空间安全学院) Copyright © 2024

媒体关注