Song Cao is a lecturer and master’s supervisor at the School of Automation, Central South University.

He received his Ph.D. in Control Science and Engineering from Tsinghua University in June 2025. As a technical backbone member, he has participated in projects including the National Key R&D Program of China, the Major Instrument Development Project of the National Natural Science Foundation of China, and general programs of the National Natural Science Foundation of China.

He has published 20 papers in internationally recognized journals and conferences in the fields of remote sensing and signal processing, such as  IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Instrumentation and Measurement, and IEEE Photonics Journal, and has been granted 10 patents.

He serves as a committee member of the SCAI and Simulation Special Committee of the Chinese Simulation Society; a young editorial board member of journals including  Geophysical Prospecting for Petroleum, Deep Resources Engineering,  Advanced Equipment, AI in Neurology, Journal of Artificial Intelligence for Medical Science,  Advanced Information and Communication, and Brain Horizon; and a reviewer for international journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Medical Imaging, IEEE Geoscience and Remote Sensing Letters, and Petroleum Science. He is also a member of the Chinese Association for Artificial Intelligence, Chinese Society of Automation, Chinese Geophysical Society, China Society of Image and Graphics, and Chinese Simulation Society.

He has received awards including First Prize of the Science and Technology Award of the Nonferrous Metals Industry, Outstanding Graduate of Beijing, Outstanding Graduate of Hunan Province, and Outstanding Thesis Award. He has also supervised students in projects and competitions such as the Graduate Independent Exploration and Innovation Project, the Undergraduate Innovation and Entrepreneurship Training Program, and the China International College Students’ Innovation Competition.

Main Research Areas

1. Theoretical Research on Artificial Intelligence Algorithms

- Artificial intelligence and deep learning algorithms  

- Multimodal information processing and analysis  

- Industrial multi-agent systems  

- Collaboration between large and small models  

- Physics-informed deep neural networks  

2. Artificial Intelligence + Deep-Earth Exploration

- Intelligent processing of geophysical signals such as seismic, electromagnetic, and logging data  

- Multimodal geophysical inversion modeling  

- Intelligent prediction of deep-earth resource distribution  

3. Artificial Intelligence + Psychiatry

- Intelligent processing of medical data such as EEG signals and brain MRI images  

- Intelligent decoding of multimodal brain medical information and discovery of objective biomarkers  

- Intelligent diagnosis of mental disorders such as depression and anxiety, and closed-loop neuromodulation physical therapy  

The “Industrial Intelligent Sensing and Optimized Control” research group is recruiting postdoctoral researchers, Ph.D. students, master’s students, research assistants, and outstanding undergraduates with available time and strong motivation!

Relevant disciplines and research areas include, but are not limited to: automation, control science and engineering, artificial intelligence, electronic information, computer science, mathematics, communications, industrial internet, and big data analytics.

The research group has a friendly and collaborative atmosphere. Students interested in related research are warmly welcome to join!

Group leader: Professor Wang Yalin, 王雅琳老师，Professor / Ph.D. supervisor  

Contact email: songcao@csu.edu.cn

Team Name

Institute of Control Engineering

The research group is affiliated with the Institute of Control Engineering and has access to excellent research platforms, including the National Natural Science Foundation of China Innovative Research Group, the Ministry of Education Innovation Base for Intelligent Control and Optimization Decision in Manufacturing Processes (“111” Program), the Key Laboratory of Industrial Intelligence and Systems of the Ministry of Education, and the Engineering Research Center for Automation of Nonferrous Metallurgy of the Ministry of Education.

Collaborative Platforms

- Department of Automation, Tsinghua University  

- National Research Center for Information Science and Technology, Tsinghua University  

- The Second Xiangya Hospital, Central South University  

- National Clinical Research Center for Mental Disorders