
About
Jun Zheng is a Professor in the Department of Computer Science & Engineering at New Mexico Tech. His research focuses on mobile security, mobile human-computer interaction (HCI), smart grid security, and network anomaly detection. Key projects include developing deep learning models for smart grid fraud detection, UAV swarm security, and biometric authentication using electromyography signals.
He has published extensively in top-tier venues, with notable work in IEEE journals and conferences. Recent themes include optimizing UAV-assisted IoT networks, securing home area networks, and enhancing mobile malware detection via image-based analysis.
His research bridges cybersecurity and energy systems, applying machine learning to address challenges in smart grid resilience, mobile device security, and human-centered computing. No awards or specific grants are explicitly listed, but his prolific publication record highlights sustained academic contributions.
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