معرفی
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.
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