Jing Li

Jing Li, PhD in Informatics Engineering, specializes in AI and IoT. Since 2021, he has been a PhD researcher and lecturer at University Technology Malaysia (UTM). He holds an MSc in Information Management from Zhejiang University (2012) and a BSc in Computer Science from China University of Metrology (2003). With extensive experience in both industry and academia, he has led R&D in image processing, mobile communications, and distributed networks while focusing on machine learning, deep learning, big data, computer networks, and IoT security in academia. His research has been published by Elsevier, IEEE, Springer Nature, and Inder Science, and he has authored books with Eliva Press and Xidian Press. An IEEE and CCF member, he actively collaborates with start-ups in AI-based IoT and digital twins, promotes AI applications, and serves as a reviewer for top SCI journals and conferences.

• Merit Thesis Award Honorary Doctoral Thesis Award, 2025
• Certificate of Excellence Doctoral Thesis Top B1, 2025
• UTM Web of Science Q1 Academic Paper Scholarship, 2024-2025
• UTM Postgraduate Annual Research Seminars (PARS) Committee, 2024-2025
• International Doctoral Fellowship (IDF) at UTM, 2023-2024
• Asian Youth Leaders Scholarship Award, 2024
• Best Researcher (10588), The 21st Edition of International ACADEMIC AWARDS, 2024
• Best Paper (2682), The 17th Edition of International Research Awards on Cybersecurity And Cryptography, 2024
• Academic Visit at the University of Dubai, 2024
• Big Data, AI-SLR Series Course Professor Assistant at UTM, 2023-2024
• Elite Global Excellence Committee Technical Team Member, 2023-2024

• Optimizing IoT Intrusion Detection System: Feature Selection versus Feature Extraction in Machine Learning, Li, Jing, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf, Journal of Big Data, 11, 1, 36, 2024, https://doi.org/10.1186/s40537-024-00892-y
• NFIoT-GATE-DTL IDS: Genetic Algorithm-Tuned Ensemble of Deep Transfer Learning for NetFlow-Based Intrusion Detection System for Internet of Things, Li, Jing, Hewan Chen, Mohd Shahizan Othman, Naomie Salim, Lizawati Mi Yusuf, Shamini Raja Kumaran, Engineering Applications of Artificial Intelligence, 143, March, 110046, 2025, https://doi.org/10.1016/j.engappai.2025.110046
• Adaptive NetFlow IoT Intrusion Detection with Deep Transfer Learning, Genetic Optimization, and Ensemble Methods for Network Management, Li, Jing, Hewan Chen, Mohd Shahizan Othman, Lizawati Mi Yusuf, IEEE Transactions on Network and Service Management, 2025
• A Critical Review of Feature Selection Methods for Machine Learning in IoT Security, Li, Jing, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf, International Journal of Communication Networks and Distributed Systems, 30, 1, 10057332, 2024, https://doi.org/10.1504/IJCNDS.2024.10057332
• Enhancing IoT Security: A Comparative Study of Feature Reduction Techniques for Intrusion Detection System, Li, Jing, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf, Intelligent Systems with Applications, June, 200407, 2024, https://doi.org/10.1016/j.iswa.2024.200407
• IoT Security: A Systematic Literature Review of Feature Selection Methods for Machine Learning-Based Attack Classification, Li, Jing, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf, International Journal of Electronic Security and Digital Forensics, 1, 1, 10060679, 2024, https://doi.org/10.1504/IJESDF.2024.10060679
• Cybersecurity Insights: Analyzing IoT Data Through Statistical and Visualization Techniques, Li, Jing, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf, 2024 International Symposium on Parallel Computing and Distributed Systems (PCDS), Singapore, Singapore, 2024, https://doi.org/10.1109/PCDS61776.2024.10743769
• Feature Selection and Feature Extraction in Machine Learning-Based IoT Intrusion Detection System: Optimizing IoT Classification Models, Jing Li, Hewan Chen, Eliva Press, 04/30/24, 9999317790
• ChatGPT技术与伦理相关问题的思考, 中国计算机学会通讯, 19, 9, 09/01/23
• Authoritative Guide to Wi-Fi Networks, Xi'an University of Electronic Science and Technology Press, 978-7-5606-4784-5, First Author

• Academic guidance of experiment activities and scientific paper writing for undergraduate and graduate students in computer science and management.
• PhD application guidance covers the whole process from research proposal to university and supervisor exploration, application, and interview to help students successfully become PhD students.
• Active on social media, ”门童靖博士” in WeChat with 5000+ fans and Zhihu with 1000+ fans.
• Active Clubs: Zhejiang University's official entrepreneurship club, football club, reading club, and Chinese tea club.
• Swimming Coach, National Swim Lifeguard (Level 5), General Administration of Sport, China. Crossing Hangzhou Qiantang River 2018, 2020, 2021.