Pin-Han Ho

Pin-Han Ho is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering (ECE), part of the Faculty of Engineering. His research focuses on advanced wireless communication systems, including Near-Field Communications (NFC), Reconfigurable Intelligent Surfaces (RIS), and Quantum Key Distribution (QKD). He explores applications in UAV-enabled networks, IoT security, and energy-efficient trajectory planning for autonomous systems.

His work integrates machine learning techniques such as Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to address challenges in signal processing, resource allocation, and network optimization. Key contributions include beamforming design for dynamic environments, secure resource management in optical networks, and hybrid communication systems combining near-field and far-field capabilities.

Dr. Ho's publications span over 50 peer-reviewed articles, emphasizing interdisciplinary approaches to modern communication challenges. Notable areas include UAV trajectory optimization, quantum CNN-based detection systems, and connectivity-preserving routing algorithms. His research has been featured in special issues on NFCs, quantum networks, and IoT security.

Despite extensive contributions, no academic awards or grants are explicitly listed in the provided information. His advising role and lab affiliations remain unspecified in the text.