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Computational Psychophysiology

TC Leadership

Bin Hu

TC Co-Chair

Bin Hu (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Lanzhou University, China



Philip Chen

TC Co-Chair

Philip Chen (This email address is being protected from spambots. You need JavaScript enabled to view it.)
University of Macau, China

Jin Fan

TC Co-Chair

Jin Fan (This email address is being protected from spambots. You need JavaScript enabled to view it.)
City University of New York, USA



Weihao Zheng

TC Co-Chair

Weihao Zheng (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Lanzhou University, China


Our Goal

Computational Psychophysiology (CP) is an interdisciplinary research which covers analysis and modeling of physiological responses and their correlations with psychological aspects of human behavior with theories and technologies of computer science, mathematics and physics. The research interests of CP include studies in multimodal indices, like MRI, PET, MEG, ERP, EEG, ECG, SP, respiration, behavior, etc., and other physiological effects of mentation under different mental states. The Technical Committee (TC) on CP aims to fuse the fields of computer science, cognitive neuroscience, neuropsychology, physiology, psychiatry, and biomedical engineering toward the investigation of psychological-physiological mechanisms, neuro-informatics, and innovative clinical technologies and therapies. For example, one emphasis will be placed on novel applications of psychophysiology for the research of biomarkers of mental disorders.

This technical committee will encourage the development of Computational Psychophysiology and promote multidisciplinary research collaborations, serve as a novel direction in computation field. Through CP study, our aims are to (1) exploit the mechanisms of emotion and cognition of mankind, (2) utilize multi-indices analysis, multimodal signals integration, multimodal modeling and inferential computing for evaluation and early intervention of mental disease. Computational psychophysiology contributes to the investigation of diagnosis and treatment of psychophysiological disease, structure and function of human brain, and the development of human-computer interaction technology.


Members

  • Nik Bessis, University of Derby, UK
  • Hongmin Cai, South China University of Technology, China
  • Jing Chen, Case Western Reserve University, USA
  • Yiqiang Chen, Institute of Computing Technology, Chinese Academy of Sciences, China
  • Mingzhou Ding, University of Florida, USA
  • Lin Gao, Xidian University, China
  • Shangkai Gao, Tsinghua University, China
  • Frank Hsu, Fordham University, USA
  • Guojun Li, Shandong University, China
  • Min Li, Central South University, China
  • Yonghui Li, Institute of Psychology, the Chinese Academy of Sciences, China
  • Hualou Liang, Drexel University, USA
  • Quanying Liu, ETH Zurich, Switzerland
  • Xun Liu, Institute of Psychology, the Chinese Academy of Sciences, China
  • Yuejia Luo, Shenzhen University, China
  • Vinod Menon, Stanford University, USA
  • Philip Moore, Shandong Normal University, China
  • Christopher Nemeth, Applied Research Associates, Inc., USA
  • Jeffrey Newcorn, Icahn School of Medicine at Mount Sinai, USA
  • Shaoliang Peng, National University of Defense Technology, China
  • Hai Van Pham, Hanoi University of Science and Technology, Vietna
  • Björn Schuller, Imperial College London, UK
  • Kurt Schulz, Icahn School of Medicine at Mount Sinai, USA
  • Swaran Singh, University of Warwick, UK
  • Max Talanov, Kazan Federal University, Russia
  • Jianhua Tao, Institute of Automation, the Chinese Academy of Sciences, China
  • Chandan Vaidya, Georgetown University, USA
  • Tor Wager, University of Colorado, Boulder, USA
  • Jizheng Wan, Coventry University, UK
  • Hongbin Wang, Texas A&M University, USA
  • Jianxin Wang, Central South University, China
  • Dezhong Yao, University of Electronic Science and Technology of China, China
  • Zhijun Yao, Lanzhou University, China
  • Le Zhang, Southwestern University, China
  • Ning Zhong, Maebashi Institute of Technology, Japan
  • Shuigeng Zhou, Fudan University, China

Recent Activities

  • The special session "Symposium on Computational Psychophysiology", the 2015 international Conference on Brain Informatics & Health (BIH 2015), London, UK, Aug 30 – Sep 2, 2015.
  • The Science (supplement) "Advances in Computational Psychophysiology", Vol. 350, Issue 6256, pp. 114, Oct 2015, Guest Editors: Bin Hu, Jin Fan.
  • 2016 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS 2016), Jinzhou, China, Aug 26 – 29, 2016, Sponsored by IEEE SMC society and TC on Computational Psychophysiology
  • 2016 IEEE International Conference on Advanced Robotics and Mechatronics (IEEE-ARM 2016), Macau, China, Aug 18-20, 2016, Sponsored by IEEE SMC society and TC on Computational Psychophysiology.
  • The 4th CCF Big Data Conference, Lanzhou, China, 2016.
  • Planning a TC Symposium in Lanzhou, China, January 2017.

Join Us

Join us to promote a new interdisciplinary field -- Computational Psychophysiology, which aims to encourage multidisciplinary collaboration and exploit the mechanisms related to emotion and cognition of human from multiple perspectives. With combining diversified knowledge (e.g., psychology, neuroscience and engineering) for understanding, revealing and modeling psychophysiological problems. We also focus on developing innovative methodologies for multimodal indices fusion and multimodal model construction to diversify current analysis methodologies. In terms of application, developing universal systems for early warning of the risk, aided diagnosis and intervening of mental disorders (e.g., depression) is also one of our targets.

Through this TC, we would like our members to join more academic exchange activities, conferences and symposiums to exchange ideas with scientists from different fields and touch the thoughts from different perspective. We also try to broaden the bridge of cross-disciplinary connection and will strongly support young researchers who are interested in.


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