Contact

Phone: 470-578-3174

Email: yhuang24@kennesaw.edu

Office Location: Marietta Campus, 680 Atrium Building, Room 3136

Office Hours:
M: 10:40AM - 12:40 PM

Yan Huang

Associate Professor

Dr. Huang joined the Department of Software Engineering and Game meDevelopment in 2019. His research focuses on personalized and heterogeneous federated learning, machine learning security, and privacy-preserving distributed systems. His work investigates how distributed models can adapt to differences among clients while preserving useful shared knowledge. He is expanding his research into embodied AI and vision–language–action (VLA) models, with an interest in trustworthy adaptation, behavioral integrity, and secure learning across heterogeneous environments.

His publications include research on federated representation learning for non-IID data in Neural Networks and self-organized federated learning for heterogeneous IoT systems in the IEEE Internet of Things Journal. Dr. Huang has served as Principal Investigator on NSA GenCyber projects and as lead PI on NSF-supported work in extended reality and engineering education. These projects connect cybersecurity, software engineering, and hands-on learning, including VR cybersecurity education for middle school students and XR-based engineering curricula. 

Professional Activities:

• 2024, Program Co-Chair of CyberSciTech 2024.
• 2020-2023, Editor of Wireless Communications and Mobile Computing.
• 2020-2023, Editor of Research Reports on Computer Science.
• 2021, Program Co-Chair of CyberSciTech 2021.
• 2020, Lead Guest Editor of International Journal of Distributed Sensor Networks.
• 2020, TPC Member of GLOBECOM 2020.
• 2020, Program Co-Chair of CyberSciTech 2020.
• 2020, Publication Co-Chair of COCOON 2020.
• 2019, Social Media Chair of IEEE IPDPS 2020.
• 2019, Publicity Co-Chair of Blockchain Symposium 2019.
• 2019, TPC Member of Blockchain 2019.
• 2019, Publication Co-Chair of COCOA 2019.
• 2019, TPC Member of IPCCC.
• Reviewer of IEEE Networking Letters, Transactions on Vehicular Technology, Transactions on Knowledge and Data Engineering, IEEE Transactions on Network Science and Engineering, IEEE Internet of Things Journal, Reviewer of ACM Transactions on Sensor Networks,The Computer Journal.

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