Chayanin Tangwiriyasakul

Chayanin (Chin) was born in Chiang-Mai, Thailand, on the 29th of June 1980. In 2001 he obtained his bachelor’s degree in mechanical engineering at Thammasat University, Bangkok, Thailand. Later, he continued his study at master’s level in the same field at Hamburg University of Technology. His master thesis was about investigating the mechanical properties of the medical implant fabricated from laser freeform fabrication technique. In 2009, he obtained his professional doctorate in engineering in mathematics for industry from Eindhoven University of Technology. In February 2010, he started his PhD project in the collaboration project between the Biomedical-Signals-and-Systems group and Clinical-Neurophysiology group at University of Twente. His PhD work involved the development and evaluation of a motor imagery neurofeedback system for stroke rehabilitation.

Qualifications:

• PhD (Brain Modulation by Event-Related Desynchronization guided Neurofeedback) from University of Twente, The Netherlands.
• PDEng (Mathematics) from Eindhoven University of Technology, The Netherlands.
• MSc, School of Mechanical Engineering at Hamburg University of Technology (TUHH), Germany.
• BEng (Mechanical Engineering), Thammasat University, Thailand.

Core expertise:

• Bio-related signal-image processing
• Machine learning
• Linear dynamical systems

Publications and Posters:

• Paper: Tangwiriyasakul et al., “Importance of Baseline in Event-Related Desynchronization during a Combination Task of Motor Imagery and Motor Observation”, J Neural Eng, 2013: doi: 10.1088/1741-2560/10/2/026009
• Paper: “Temporal Evolution of Event-Related Desynchronization in Acute stroke patients”, Clinical Neurophysiology, 2014: doi:10.1016/j.clinph.2013.10.047
• Paper: Tangwiriyasakul et al. “Classification of Motor Imagery Performance in Acute Stroke”, J Neural Eng, 2014: doi:10.1088/1741-2560/11/3/036001