Prof. Dr. Poramate Manoonpong

Educational Background

  • Ph.D. in Electrical Engineering and Computer Science, University of Siegen, Germany
  • M.Sc. in Mechatronics, Fachhochschule Ravensburg-Weingarten, Weingarten, Germany
  • B.Eng. in Mechanical Engineering (Hons.), King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

Academic Experiences

  • 2012-2013, Artificial Intelligence & Robotics, Master & Bachelor level course (B.Phy.5638, 3 ETCS), University of Göttingen, Germany, Winter semesters: WS12 & WS13
  • Since 2014, Adaptive embodied locomotion control systems (with Jørgen Christian Larsen), Master level course (RMAI3-U1, 5ETCS), University of Southern Denmark, Denmark, Every autumn semester
  • Since 2014, Tools of Artificial intelligence, Master level course (RMAI2-U1, 5 ETCS), University of Southern Denmark, Denmark, Every spring semester
  • Simulation for RMAI2 (pole balancing (OPENAI), pole balancing (empty controller , example LQR controller))
  • Since 2015, Project in Artificial Intelligence (with John Hallam), Master level course (RMAI4-U1, 10 ETCS), University of Southern Denmark, Denmark, Every autumn semester
  • 2015, Embodied Artificial Intelligence, Master level course (Etit-999, 3 ETCS), University of Kiel, Germany, Winter semester: WS15
  • 2016, “Biomechanics & Locomotion Control from Insects to Robots”, Summer course, Master level, Nanjing University of Aeronautics and Astronautics, Nanjing, China, 8, 11-13.07.2016
  • 2017, “Embodied Artificial Intelligence”, Summer course, Bachelor level, Biomedical Engineering, Rangsit University, Thailand, 03.07.2017-02.08.2017
  • 2017, “AI & Robotics”, IST596, Master/PhD levels, School of Information Science & Technology Vidyasirimedhi Institute of Science & Technology (VISTEC), Thailand, 14.09.2017-15.09.2017
  • Since 2018, “Embodied Artificial Intelligence”, IST532, Master/PhD levels, School of Information Science & Technology Vidyasirimedhi Institute of Science & Technology (VISTEC), Thailand, Every spring semester
  • Supervision of undergraduate, master, and PhD research projects, over 80 students
  • Guest Lecturer, 2014, “Using Biological Inspiration to Develop Autonomous Walking Robots”, Scientific method course (SM-SCM), Master level, University of Southern Denmark, Denmark, 5 ECTS, 09.04.2014
  • Guest Lecturer, 2015-2016, “Reinforcement Learning”, Statistical machine learning course (RM-SML-U1), Master level, University of Southern Denmark, Denmark, 5 ECTS, 22.04.2015
  • Guest Lecturer, 2015, “How to do research”, Research methodology course (EEM601), PhD level, King Mongkut's University of Technology Thonburi (KMUTT), Thailand, 6, 11, 13.08.2015
  • Guest Lecturer, 2015, “Thinking in Science”, Scientific methods course (SM-SCM), MSc level, University of Southern Denmark, Denmark, 5 ECTS, 29.09.2015
  • Guest Lecturer, 2015, “Locomotion in invertebrates and robots”, Biomechanics and Biomimetics/Bionik course (biol201), Master level, University of Kiel, Germany, 25-26.11.2015
  • Guest Lecturer, 2016, “Locomotion control and robotics”, Grundlagen der Bionik/ Basics of Bonics course (Modul biol167), Bachelor level, University of Kiel, Germany, 10.03.2016
  • Guest Lecturer, 2016, “Artificial neural networks: An Approach to Build Brains for Bodies”, Robotic course, Master level, Department of Electrical Engineering, Kasetsart University, Thailand, 24.11.2016
  • Guest Lecturer, 2017, “Locomotion control and robotics”, Grundlagen der Bionik/ Basics of Bonics course (Modul biol167), Bachelor level, University of Kiel, Germany, 28.02.2017
  • Guest Lecturer, 2017, “Artificial neural networks: An Approach to Build Brains for Bodies”, Robotic course, Master level, Department of Electrical Engineering, Kasetsart University, Thailand, 18.12.2017
  • Guest Lecturer, 2018, “Biomechanics and Bio-inspired Locomotion Control from Animals to Robots”, Bionic Science and Technology course, Master/PhD level, Nanjing University of Aeronautics and Astronautics (NUAA), 11, 15, 18.10.2018
  • Guest Lecturer, 2019, “Biomechanics and Bio-inspired Locomotion Control from Animals to Robots”, Bionic Science and Technology course, Master/PhD level, Nanjing University of Aeronautics and Astronautics (NUAA), 10, 13, 17.12.2019

Research Experiences

  • Associate Professor, 2018-present, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology Areas of Research: Data Engineering, Scalable Machine Learning
  • Assistant Professor, 2014-2018, Department of Computer Science, City University of Hong Kong Areas of Research: Scientific data managements, Scalable Query Processing
  • Assistant Research Scientist, 2012-2013, Department of Computer Science, Johns Hopkins University and Department of Physiology, Johns Hopkins Medical Institutions Areas of Research: Protein simulation control
  • Postdoctoral Research Associate, 2010-2012, Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland Area of research: Spatial query processing
  • PhD Candidate and Research Assistant, 2004-2010, Department of Computer Science and Software Engineering, University of Melbourne Area of research: Spatial Database Systems and Spatial Query Processing

Research Award

    Research Interest

    • Brain-like mechanisms for adaptive motor control and autonomous learning of walking robots
    • Embodied multi-sensorimotor robotic systems, like walking robots
    • Adaptive locomotion in animals and machines
    • Dynamics of recurrent neural networks
    • Learning/plasticity in neural systems
    • Embodied cognitive systems
    • Adaptive prosthesis, orthosis, and exoskeleton control
    • Brain-machine interface
    • Human-machine interaction

    Research Experiences

    • Associate Professor, 2018-present, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology Areas of Research: Data Engineering, Scalable Machine Learning
    • Assistant Professor, 2014-2018, Department of Computer Science, City University of Hong Kong Areas of Research: Scientific data managements, Scalable Query Processing
    • Assistant Research Scientist, 2012-2013, Department of Computer Science, Johns Hopkins University and Department of Physiology, Johns Hopkins Medical Institutions Areas of Research: Protein simulation control
    • Postdoctoral Research Associate, 2010-2012, Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland Area of research: Spatial query processing
    • PhD Candidate and Research Assistant, 2004-2010, Department of Computer Science and Software Engineering, University of Melbourne Area of research: Spatial Database Systems and Spatial Query Processing

    Recent Publication

    Prof. Dr. Poramate Manoonpong, Faculty Member
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