Biography
Dr. Toa Chean Khim is an academic and researcher specialising in Artificial Intelligence, Robotics and Automation, with interdisciplinary expertise in computer vision, deep learning, mixed reality, digital signal processing, human activity recognition, and intelligent technology applications. He obtained his Bachelor of Engineering (Hons.) in Electronics Engineering, majoring in Robotics and Automation, from Multimedia University, Malaysia, in 2017, followed by a Master of Engineering Science by Research from the same institution in 2020. He completed his Doctor of Philosophy (Ph.D.) in Engineering at Multimedia University in 2024. His research focuses on the development and application of intelligent systems that integrate artificial intelligence, computer vision, signal processing, and emerging technologies to address real-world engineering and human-centred challenges. His doctoral research investigated brain attentive level assessment using mixed reality and electroencephalography (EEG), incorporating deep learning techniques to analyse physiological and cognitive responses. His research experience also encompasses biomedical engineering, rehabilitation technologies, medical image analysis, human activity recognition, and computer vision-based applications.
Dr. Toa has been actively involved in research and innovation projects spanning robotics and automation, artificial intelligence, mixed and augmented reality, physiological signal analysis, and intelligent data-driven systems. His recent research activities have further expanded into areas such as computer vision for robotics applications, deep learning, federated learning, and data analytics for smart infrastructure. With a strong foundation in Robotics and Automation and an interdisciplinary research background in Artificial Intelligence, Dr. Toa is committed to advancing intelligent and autonomous technologies through research, innovation, and education. He is particularly interested in translating emerging AI and robotic technologies into practical solutions with applications across engineering, healthcare, smart systems, and human-centred technologies.
Research Interest
Deep Learning, Reality technologies (AR/MR), Computer Vision, Digital Signal Processing. and Human Activity, Recognition, Data Science
Educational Background
Doctor of Philosophy (Ph.D.) in Engineering (2024)
Master of Engineering Science, Multimedia University (2020)
Bachelor of Engineering (Hons.) Electronics Engineering Majoring in Robotics and Automation, Multimedia University (2017)
Professional Bodies
Board of Engineers Malaysia (BEM)
Working Experience
Assistant Professor, Xiamen University Malaysia (2024 - present)
Lecturer, Xiamen University Malaysia (2022 - 2024)
Research Scholar, Multimedia University (2020 – 2021)
Research Officer, Multimedia University (2019 - 2020)
Research Scholar, Multimedia University (2018 - 2019)
Research Experience
Left and Right Brain Balancing Application with Electroencephalogram Neurofeedback System (2020)
Funding: TM R&D (2020 – 2021)
Rehabilitation Using Biofeedback System (2019)
Funding: TM R&D (2019 – 2020)
Biocompatibility Platform for Protein Detection in Latex Glove and Automated Latex Glove Sample Cutting Machine (2018)
Representative Publications
• More info can click this link:
https://scholar.google.com/citations?hl=en&user=rclfg94AAAAJ&view_op=list_works&sortby=pubdate
Honors / Awards
More info can click this link: https://www.linkedin.com/in/toa-chean-khim-089696145
International Invention, Innovation and Technology Exhibition (ITEX)Certificate of Merit (2021)
Seoul International Invention Fair (SIIF) Silver Medal (2021)
Research, Innovation, Commercialisation & Entrepreneurship Showcase(RICES) Gold Medal (2021)
Malaysia Technology Expo (MTE) Gold Award (2021)
The International Invention Innovation Competition in CANADA (ICAN) Gold Medal (2020)
Korea Creative Invention Contest (CiC) Silver Medal (2020)
World Summit on the Information Society (WSIS) Champion (2019)