Computational psychophysiology based research methodology for mental health

Computational psychophysiology is a new direction that broadens the field of psychophysiology by allowing for the identification and integration of multimodal signals to test specific models of mental states and psychological processes. Additionally, such approaches allows for the extraction of multiple signals from large-scale multidimensional data, with a greater ability to differentiate signals embedded in background noise. Further, these approaches allows for a better understanding of the complex psychophysiological processes underlying brain disorders such as autism spectrum disorder, depression, and anxiety. Given the widely acknowledged limitations of psychiatric nosology and the limited treatment options available, new computational models may provide the basis for a multidimensional diagnostic system and potentially new treatment approaches. Biography Dr. Bin Hu is currently professor, dean in the School of Information Science and Engineering, Lanzhou University, adjunct professor in Tsinghua University, P. R. China. He is also IET Fellow, Chair of IEEE SMC TC on Computational Psychophysiology, and Chair of ACM China SIGBio, Vice President of International Society for Social Neuroscience (China committee) etc. His research interest includes computational theories and pervasive technologies in cognitive science and psychophysiology. His work has been funded as a PI by the Ministry of Science and Technology(973 project), National Science Foundation China, European Framework Programme 7, EPSRC, and HEFCE UK, etc, also, published more than 200 papers in peer reviewed journals, conferences, and book chapters.