Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member

Assoc. Prof. Dr. Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member

Gunagzhou Nanfang College | China

Dr. Muhammad Bilal is an Associate Professor at Nanfang College, China, specializing in artificial intelligence, machine learning, and underwater acoustic communication. His research focuses on bio-inspired covert communication, low probability detection systems, and AI-driven signal processing, with applications in marine technology, cybersecurity, and healthcare. He has authored numerous peer-reviewed publications in leading international journals and conferences. Dr. Bilal actively collaborates with global research communities and serves as a reviewer for reputed journals. His work advances secure communication systems and contributes to the development of sustainable and intelligent ocean technologies with broad societal impact.

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Featured Publications


Biologically inspired covert underwater acoustic communication—A review.

–Physical Communication, 30, 107–114. (2018). Cited By: 55

A frequency hopping pattern inspired bionic underwater acoustic communication.

– Physical Communication, 46, 101288. (2021). Cited By: 43

Bionic Morse coding mimicking humpback whale song for covert underwater communication.

– Applied Sciences, 10(1), 186.. (2020). Cited By: 35

Deep-neural-network-based receiver design for downlink non-orthogonal multiple-access underwater acoustic communication.

– Journal of Marine Science and Engineering, 11(11), 2184. (2023). Cited By: 25

Zhao Zhao | Computer Vision for Robotics and Autonomous Systems | Research Excellence Award

Mr. Zhao Zhao | Computer Vision for Robotics and Autonomous Systems | Research Excellence Award

Tianjin University | Canada

Mr. Zhao Zhao is a researcher at Tianjin University specializing in intelligent transportation systems, autonomous mobile robot (AMR) scheduling, and sustainable urban logistics. His work focuses on optimization models integrating energy consumption, time-dependent electricity pricing, and real-world operational constraints. He has published in leading journals including Transportation Research Part C and International Journal of Production Research. Zhao has collaborated with international institutions such as Tsinghua University, Sichuan University, Tilburg University, and KEDGE Business School, and with industry partners including Toyota Tianjin and Hikvision, contributing to large-scale AMR deployment and innovative last-mile delivery solutions with significant societal and sustainability impact.

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Featured Publications


In-plant autonomous mobile robot scheduling and routing problem considering battery consumption model.

– Transportation Research Part C: Emerging Technologies  (2025). Cited By : 1