Professor | Shenzhen University of Information Technology | China
Prof. Bao Peng is an expert in millimeter-wave radar sensing, computer vision, and intelligent signal processing, with a focus on device-free human sensing, gesture recognition, and multimodal data fusion. He has published 54 papers, cited over 580 times, 13 h-index and collaborated with more than 110 researchers globally. His key contributions include cross-modal radar frameworks with information-maximization enhancement, lightweight self-attention-free transformer models for gesture recognition, and fusion-driven architectures for end-to-end human motion understanding, enabling efficient, low-data, and interpretable AI solutions. His work also extends to industrial applications, such as intelligent monitoring of unmanned pumping stations and YOLO-based infrastructure inspection, demonstrating broad societal and industrial relevance. By combining advanced signal processing with practical AI deployment, Prof. Peng’s research strengthens human–machine interaction, autonomous systems, and smart sensing technologies, contributing to safer, more efficient, and globally impactful innovations.
Profile: Scopus
Featured Publications
1. (2025). Cross-modal device-free radar sensing with information maximization enhancement and few-shot learning. IEEE Transactions on Microwave Theory and Techniques.
2. (2025). Device-free gesture recognition using multidimensional feature representation and lightweight self attention-free transformer. IEEE Transactions on Consumer Electronics.
3. (2025). End-to-end human motion recognition with multidomain dual attention transformer fusion network and millimeter-wave radar. IEEE Transactions on Consumer Electronics.
Cited by: 7
4. (2024). Visual analysis method for unmanned pumping stations on dynamic platforms based on data fusion technology. Eurasip Journal on Advances in Signal Processing.
Cited by: 1
5. (2024). GAM-YOLOv8n: Enhanced feature extraction and difficult example learning for site distribution box door status detection. Wireless Networks.
Cited by: 5
Prof. Bao Peng research transforms radar-based perception into practical AI solutions, advancing intelligent monitoring, autonomous systems, and human–machine interaction to foster safer, smarter, and more sustainable technological ecosystems.
