Hanshu Cai

Academic Title: Professor, Doctoral Supervisor

Affiliated Institute: Institute of Computer Application Technology

Office Address: Room 316, Feiyun Building

Teaching Activities

Undergraduate Courses Taught: Social Aspects of Information Systems (Fully English-taught Course), Fundamentals of Cognitive Science, Data Science Programming

Research Interests: Artificial Intelligence, Brain-Computer Interface, Affective Computing, Ubiquitous Computing, Bioinformation Feedback, etc.
Majors for Student Recruitment

Doctoral Program: Computer Science and Technology (Academic Degree)

Master’s Programs: Computer Science and Technology (Academic Degree), Computer Technology (Professional Degree)

Research Projects

Major Research Projects in the Past 5 Years

General Project of the National Natural Science Foundation of China: Research on Quantitative Models for Emergency Emotional Intervention, Jan. 2021 – Dec. 2024, Ongoing, Principal Investigator

Key Special Project of the National Key R&D Program of China (Key Scientific Issues of Transformative Technologies): Early Identification and Intervention of Depressive Disorders Based on Multimodal Psychophysiological Information, Dec. 2019 – Nov. 2024, Ongoing, Principal Investigator of Sub-project

Major Project of the Science and Technology Innovation 2030 – Brain Science and Brain-Inspired Research Program of the Ministry of Science and Technology: Brain-Computer Interaction Computing Fusion Research Platform, Dec. 2021 – Nov. 2026, Ongoing, Participant

National Key Basic Research Program of China (973 Program): Research on Early Warning Theory of Potential Depression Risk and Key Biosensor Technologies Based on Multimodal Biological and Psychological Signals, Jan. 2014 – Dec. 2018, Completed, Participant

Publications

The representative papers and monographs in the past 5 years have been cited over 1,000 times, with an h-index of 16 and an i10-index of 18. The main papers are as follows:

Cai H, Yuan Z, et al. A multi-modal open dataset for mental-disorder analysis[J]. Scientific Data, 2022, 9(1): 178. (SCI Zone 2, IF 9.8)

Cai H, Zhang Y, et al. An adaptive neurofeedback method for attention regulation based on the Internet of Things[J]. IEEE Internet of Things Journal, 2021, 8(21): 15829-15838. (SCI Zone 1, IF 10.6)

Cai H, Qu Z, et al. Feature-level fusion approaches based on multimodal EEG data for depression recognition[J]. Information Fusion, 2020, 59: 127-138. (SCI Zone 1, IF 18.6) (Highly Cited Paper)

Cai H, Zhang X, et al. A Case-based Reasoning Model for Depression based on Three-electrode EEG Data[J]. IEEE Transactions on Affective Computing, 2020, 11(3): 383-392. (SCI Zone 2, IF 11.2)

Cai H, Han J, et al. A Pervasive Approach to EEG-based Depression Detection[J]. Complexity, 2018. (SCI Zone 2) (Highly Cited Paper)

Honors and Awards

First Prize of Gansu Provincial Patent Award, 2022

Longyuan Young Talent of Gansu Province, 2022

Best Associate Editor Award, IEEE Systems, Man, and Cybernetics Society (IEEE SMC), 2023

Outstanding Service Award, HealthCom (IEEE International Conference on E-health Networking, Application & Services), 2020

Social Services

Jun. 2019 – Present Deputy Secretary-General, Neurobiofeedback Therapy and Intervention Branch, Chinese Association of Medical Rescue

Major Academic Appointments

Associate Editor, IEEE Transactions on Computational Social Systems (SCI Journal)

Guest Editor, Frontiers in Neuroscience (SCI Journal)

Review Editor, Frontiers in Psychology (SCI Journal)

Reviewer for international SCI journals including IEEE Transactions on Affective Computing and Journal of Biomedical and Health Informatics

Professional Society Memberships

Member, Institute of Electrical and Electronics Engineers (IEEE)

Member, China Computer Federation (CCF)

Member, Chinese Association of Automation (CAA)

email:hcai@lzu.edu.cn