From lanwang at memphis.edu Mon Dec 29 12:41:50 2025 From: lanwang at memphis.edu (Lan Wang (lanwang)) Date: Mon, 29 Dec 2025 20:41:50 +0000 Subject: [Ndn-interest] [Sensors] CFP: Special Issue: Next-Generation Cyber-Physical Systems: Security, Sensing, Intelligence, and System Integration Message-ID: <09588C66-CE07-4E73-859F-44138354DB6E@memphis.edu> Dear Colleagues, We are pleased to invite you to submit your papers to the Special Issue "Next-Generation Cyber-Physical Systems: Security, Sensing, Intelligence, and System Integration" in MDPI Sensors. Cyber-physical systems are increasingly prevalent, leveraging sensing, computation, and networking to operate across diverse environments, including smart cities, industrial IoT, robotics, unmanned vehicles, and environmental monitoring. As these systems grow in scale and complexity, challenges related to security, sensing fidelity, intelligent decision making, and system integration have become critical to ensuring robust, safe, and efficient operation. This Special Issue invites original research, reviews, and case studies on the design, analysis, and deployment of next-generation cyber-physical systems. Key areas of interest include, but are not limited to, the following: - Security and Privacy: Techniques to protect cyber-physical systems against cyber attacks, data breaches, and adversarial threats. - Intelligent Sensing and Perception: AI/ML-enabled sensor fusion, multimodal perception, context-aware computation, and adaptive decision making. - System Integration and Networking: Scalable and resilient integration of heterogeneous sensors, communication networks, and autonomous platforms. - Applications and Testbeds: Real-world deployments, experimental platforms, UAVs, robotics, and other cyber-physical systems. Contributions addressing emerging trends, novel algorithms, experimental validation, and cross-domain integration of secure, intelligent, and networked cyber-physical systems are particularly encouraged. Deadline for manuscript submissions: July 31, 2026. Guest Editors: Prof. Lan Wang University of Memphis Email: lanwang at memphis.edu Prof. Ming Li University of Texas at Arlington Email: ming.li at uta.edu Prof. Dejun Yang Colorado School of Mines Email: djyang at mines.edu Papers may be submitted at any time before the deadline. Each submission will be reviewed upon receipt and published once accepted. More details can be found at https://www.mdpi.com/journal/sensors/special_issues/6L3X896F44. ---- Lan Wang Faudree University Professor Department of Computer Science The University of Memphis lanwang at memphis.edu www.cs.memphis.edu/~lanwang