Wenbo He

Wenbo He is a Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. His research bridges Machine Learning, Privacy-Preserving Technologies, and Networked Systems, with a focus on secure federated learning, data anonymization, and wireless network optimization.

• Contact: hew11@mcmaster.ca

Research Interests include:

• Machine Learning: Robustness under label noise, ensemble models, and 2D/3D classification.
• Privacy: Differentially private feature operations, encrypted classification, and location privacy.
• Networking: Software Defined Networking (SDN), wireless ad hoc networks, and crowdsensing.

Recent Publications span IEEE Transactions on Mobile Computing, IEEE Infocom, and NeurIPS, with themes in:

• Security: Data poisoning, web shell obfuscation, and correlation attacks.
• AI/ML: Noise-robust models, face anonymization, and video action recognition.
• Systems: RFID optimization, cloud storage, and energy-efficient data centers.

Teaching highlights include courses like Real-Time Systems, Computer Networks and Security, and Big Data Systems since 2017.