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ASST. PROF. DR. TOA CHEAN KHIM

School of Computing and Data Science

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Biography

Chean Khim Toa is a highly accomplished academic and researcher with a passion for innovation and technology. He earned his Bachelor of Engineering (Hons.) degree in Electronics with a major in Robotics & Automation from Multimedia University, Malaysia, in 2017. His insatiable curiosity and dedication to advancing knowledge led him to pursue a Master of Engineering Science (By Research) at the same
institution, which he successfully completed in 2020. Currently, he completed the work completion for a Doctor of Philosophy (Ph.D.) in Engineering through research at Multimedia University, Melaka. His commitment to cutting-edge research is evident in his extensive list of research interests, which includes deep learning, biomedical engineering, computer vision, and physiological measurement. Throughout his academic and research career, Chean Khim Toa has received several recognition and accolades for his outstanding work. With his profound commitment to innovation, he is poised to make significant contributions to the fields of technology, engineering, and AI, ultimately pushing the boundaries of what is possible in these exciting domains.

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)

Working Experience

  • Assistant Professor, Xiamen University Malaysia (2022 - present)

  • Lecturer, Xiamen University Malaysia (2022 - 2024)

Research Experience

  • Research Scholar, Multimedia University (2020 – 2021)

  • Research Officer, Multimedia University (2019 - 2020)

  • Research Scholar, Multimedia University (2018 - 2019)

Representative Publications

Honors / Awards