Published over 80 papers in major robotics journals and conferences
Edited two books
Associate Editor of Frontiers in Neuroscience (Neurorobotics) and Adaptive Behavior (SAGE journal)
Editorial board member of International Journal of Advanced Robotic Systems (Bioinspired Robotics) and Advances in Robotics Research (Techno Press)
Program committee member for international conferences and workshops
Second class honours in Mechanical Engineering, 2000
Research Experience
Currently Professor of Bio-inspired Robotics, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand
Also Professor of SDU Biorobotics, Mærsk Mc-Kinney Møller Institute, University of Southern Denmark (SDU), Denmark
Former JSPS Postdoctoral Fellow at ATR Computational Neuroscience Laboratories, Department of Brain Robot Interface, Kyoto, Japan
Former group leader of the Emmy Noether research project on 'Neural Control, Memory, and Learning for Complex Behaviors in Multi Sensori-Motor Robotic Systems' at Bernstein Center for Computational Neuroscience (BCCN), University of Goettingen, Germany
PI or co-PI of 16 funded projects
Education
1991–1995: High school (Hons.), Kasetsart University Laboratory School, Bangkok, Thailand
1996–2000: B.Eng. in Mechanical Engineering (Hons.), King Mongkut’s University of Technology Thonburi, Bangkok, Thailand; Supervisors: Assoc. Prof. Dr. Siam Charoenseang, Assoc. Prof. Dr. Djitt Laowattana
2000–2002: M.Sc. in Mechatronics, Fachhochschule Ravensburg-Weingarten, Weingarten, Germany; Supervisors: Prof. Dr.-Ing. Andreas Paczynski, Prof. Dr.-Ing. Franz Brümmer
2002–2006: Ph.D. in Electrical Engineering and Computer Science, University of Siegen, Institut fuer Regelungs-und Steuerungstechnik, Germany; Supervisors: Prof. Dr.-Ing. Hubert Roth, Prof. Dr. rer. nat. Frank Pasemann
2002–2005: Ph.D. student at Fraunhofer Institut fuer Autonome Intelligente Systeme, Sankt Augustin, Germany
Background
Born in Nan, Thailand, in 1978
Thai nationality, married
Research interests: Embodied AI, machine learning for robotics, neural locomotion control of walking machines, biomechanics, dynamics of recurrent neural networks, learning/plasticity, embodied cognitive systems, prosthetic and orthopaedic devices, exoskeletons, brain-machine interface, human-machine interaction, service/inspection robots
Long-term agenda: To understand how brain-like mechanisms including biomechanics can be realized in artificial agents so they can become more like living creatures in their level of performance
Developed neural mechanisms for locomotion generation and adaptation in legged robots, e.g., dynamic biped walking robot 'RunBot' and adaptive animal-like robots 'AMOS'