Dr Khoo Hee Kooi

Email: [email protected]

Dr. Khoo Hee Kooi joined UOW Malaysia KDU Penang University College in year 2013, as a lecturer in the Department of Computing. He received his doctor of philosophy (PhD) in year 2013 in the field of computational intelligence, his master degree (MSc) in year 2009, in the field of vision and image processing, and his Bachelor degree (BSc) major in computer aided geometry design (CAGD) and minor in computer science, from Universiti Sains Malaysia (USM).

With the knowledge of multidisciplinary, Dr. Khoo has conducted research and development (R&D) projects with a total amount of MYR180,314.08. He is a project leader for two internal research grant projects on ‘Visual data processing in machine vision’ and ‘Development of open source platform for smart home system’. He served as a research officer (RO) in USM. There are several government research projects conducted, mainly funded by MOSTI’s eScience fund (currently MESTECC) and USM’s research university (RU) grants. These projects involved research work on visual data processing with unsupervised machine learning methods for machine vision.

He has made contributions to practical knowledge in this domain, with substantial results being published internationally, principally within ACM, IEEE, and InTech Open with over 30 citations in SCOPUS index and Google Scholar. His current research involves the developments of Internet of things (IoT) platform, majorly focus on human-machine intelligence (HMI) framework, and to be established in Deja Vu laboratory, Batu Kawan campus. Other research work includes algorithm design, image and video processing, graphics renderings, and artificial intelligence (AI).

PhD (Computational intelligence) Universiti Sains Malaysia, 2009-2013
Research Title: Integration of Human Perceptions in Automatic Image Segmentation System

Master of Science (Vision and image processing) Universiti Sains Malaysia, 2008-2009
Research Title: Design and Measurement of Losses in AC Induction Motor with Different Rotor Bar Material

Bachelor of Applied Sciences (Computer modeling & Computer Science) Universiti Sains Malysia, 2004-2008

Year Title

Conference Proceedings

Tian Xiang Tee & Hee Kooi Khoo (2020). Facial recognition using enhanced facial features k-nearest neighbor (k-NN) for attendance system. ACM International Conference on Information Technology and Computer Communications (ITCC’20), Online conference.


Conference Proceedings

Boo Siong Khoo & Hee Kooi Khoo (2018). Multi-criterion statistical model for online advertisement system. AIP International Conference on Applied Science and Technology (ICAST’18), Penang, Malaysia.


Conference Proceedings

Vincent Hing & Hee Kooi Khoo (2017). Business card reader with augmented reality engine integration. In Ibrahim, Iqbal, Teoh & Mustaffa (Ed). Springer LNEE 9th International Conference on Robotics, Vision, Signal Processing and Power Application (ROVISP’16)

2016 Hee Kooi Khoo & Hong Choon Ong (2016). Salient boundary detection in the gradient spaces. IEEE International Conference on Multimedia Systems and Signal Processing (ICMSSP’16), Taipei, Taiwan, p.36-40.
2014 Hee Kooi Khoo & Hong Choon Ong (2014). Generalization of hue in the RGB cube space. IEEE International Conference on Signal Processing (ICSP’14), Hangzhou, China, p.631-636.


Title: Development of open source platform for smart home system
Duration:  2017-2019
Sponsors/Grant: KDU Internal Research Grant Scheme
Amount: RM13,000



Title: Visual data processing in machine vision
Duration: 2016-2017
Amount: RM3,000



Title: A non-recursive method for image segmentation
Duration: 2009-2011
Sponsors/Grant: Research University Grant Scheme, USM
Amount: RM84,818.08



Title: Texture analysis for computer vision
Duration: 2006-2008
Sponsors/Grant: MOSTI’s eScience fund
Amount: RM79,496


Internal chief auditor for Malaysian Research Assessment (MyRA) appointed by Ministry of High Education (MOHE), candidature from 1st November 2017 to 31st October 2023.

Certified Ethical Hacking (CEH) Instructor appointed by EC-Council candidature since 20nd October 2021.



Intro to IoT instructor appointed by IBM India candidature since 4th January 2020.

PhD Thesis: Image recognition with perceptual hashing (2019 – Present)
Ms. Tan Phit Huan (co-supervised with Dr. Lim Chia Yean, UOW Malaysia KDU Penang University College)

Master’s Thesis: Spatial features enhancement on facial landmarks for face detection (2019 – Present)
Mr. Huynh Son Bach (co-supervised with Dr. J. Joshua Thomas, UOW Malaysia KDU Penang University College)