CV

Education


Ph.D in Information Science and Technology

Vidyasirimedhi Institute of Science and Technology

August 2018 - Present
B.S. in Computer Science

Khon Kaen University

August 2014 - July 2018

Research Experience


Ph.D. Researcher

BRAIN-INTERFACEs Lab, School of Information Science and Technology (IST), Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong, Thailand.

August 2018 – Present
  • Conducting research in the areas of machine learning, deep learning, and signal processing, with a focus on brain-computer interfaces and assistive technologies. Supervised by Assoc. Prof. Theerawit Wilaiprasitporn.
Researcher

PTTEP International Limited (Yangon branch), Myanmar

February 2021 – December 2021
  • Developed PIG signaller detection using deep learning approaches.
Researcher

VISRA: VISTEC-PTT Robotics AI and Intelligent Solution, Thailand

October 2018 – December 2019
  • Developed a motor imagery-based BCI system for controlling a lower-limb exoskeleton.

Work Experience


Mentor

AI Builders, VISTEC, AIResearch, and Central Digital

April 2022 – July 2022
  • Advised high school students to complete their AI projects
Mentor

SCB Challenge '15, The Siam Commercial Bank, Thailand

October 2020
  • Designed lesson plans and activities for a high school students workshop
  • Taught basic Python, wearable devices, and machine learning
  • Followed up and advised students to complete their projects
Mentor

SCB Challenge '14, The Siam Commercial Bank, Thailand

November 2019
  • Taught basic Python, BCIs, UX, and UI design for high school students
Exchange Student

Yamaguchi University, Japan

November 2017
  • Participated in the Japan-Asia Youth Exchange Program in Science (SAKURA Exchange Program in Science), Japan Science and Technology Agency (JST)
Internship

True Corporation Public Company Limited, Thailand (True Academy Project)

Jun 2017 – Jul 2017
  • Worked on a server monitoring project at the Service Command Center
Internship

Thai Beverage Logistics Company Limited, Thailand

August 2016 – January 2017
  • Developed a mobile application for logistic operations for truck drivers

Skills


  • Expert in Python, MATLAB, and Object-Oriented Programming (OOP)
  • Proficient in deep learning and machine learning tools, including TensorFlow, PyTorch, Scikit-learn, MNE, and EEGLAB
  • Strong experience with Conda, Docker, and Git for software development and deployment
  • Expertise in bio-signal processing and visualization, specifically EEG and EMG signals
  • Extensive experience with BCI tools, including g.HIAMP, g.USBAMP, OpenBCI, MUSE EEG headband, and Delsys Trigno Wireless EMG
  • In-depth experience with various EEG public datasets and state-of-the-art EEG classification models
  • Skilled in experimental setup for bio-signal recording and IRB proposal writing
  • Experienced in advising and mentoring high school, undergraduate, and doctoral students on research methodologies
  • Publications


    * equal contributions

    Scholarships