Chenyang Zhao

Dr. Chenyang Zhao is an Assistant Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering. His research spans multiple domains at the intersection of computer vision, machine learning, and engineering applications.

Dr. Zhao's primary research interests include:

• Computer Vision and Deep Learning
• Robotics and Autonomous Systems
• Medical Imaging and Healthcare Applications
• Hardware Acceleration for AI
• Precision Measurement and Instrumentation

His recent work demonstrates a strong focus on practical applications of AI across diverse domains, from medical imaging to infrastructure inspection. Dr. Zhao has developed innovative approaches in areas such as sewer inspection systems using evidential deep learning, RGB-D semantic SLAM for robotics, and lightweight computing-in-memory architectures for edge AI applications. His research shows a consistent pattern of addressing real-world engineering challenges with cutting-edge machine learning techniques, particularly emphasizing trustworthiness, uncertainty quantification, and practical implementation constraints.

Dr. Zhao's laboratory focuses on developing trustworthy AI systems with applications in:

• Infrastructure monitoring and maintenance
• Medical diagnostics and imaging
• Autonomous robotic systems
• Energy-efficient AI hardware