ACADEMIC PROFILE

With more than twenty years’ experience as an AI and IT developer, Prof. Dr Sasa Arsovski has received a Ph.D. from the Department of Applied Computer Science and Informatics, Faculty of Technical Science, University Novi Sad, Serbia. Since 2004 he has been working as an independent associate for the development of ICT in the Guarantee Fund of AP Vojvodina, as a visiting Professor at multiple universities (inc. International University in Novi Pazar, Serbia and University Novi Sad, Serbia). He was also the Lab Vice Director and AI researcher at the Imagineering Institute in Johor.

Prof. Sasa Arsovski is a highly recognised AI researcher in the field of computer vision in the industrial quality control, object detection, image understanding and genetic algorithms in the text processing for neural network chatbots. Prof. Sasa Arsovski has received an award by the Union of ICT Societies of Serbia (JISA, DISKOBOLOS 2009) and author of the books “Decision support and strategic planning ontologies” and “Deep Learning Applications”. He is a member or chief editor of multiple boards including: Informing Science Institute’ (USA);‘Multimodal Technologies and Interaction-MTI international journal’;‘Transactions on Leading-edge Synergistic Robots international journal’; MTI’s “Deep Learning” special issue; Program Chair-ACE international conference (2017); 2018 International Conference on Pattern Recognition and Artificial Intelligence – USA; Academy of Science – Malaysia; and National Machine Learning initiative group.

Assoc. Prof. Dr Pong received his PhD from Nanyang Technological University, where his research focused on computer vision. Prior to his PhD studies, he was a research engineer working on a panorama image generation system in a company spinning off from Kent Ridge Digital Labs. The company was later acquired by Creative Technology. At Creative, he worked on image and video processing. A highlight of his career with Creative was a US patented technology generated from a motion analysis project.

After his PhD studies, Dr Pong worked as an R&D engineer with a multinational company in Singapore and as a research fellow at Nanyang Technological University. He then went back to Malaysia to join a private university in Ipoh, Perak, where he had held the roles of senate member, deputy dean and programme coordinator. Dr Pong’s research interests are in computer vision and computer graphics. He aims to work harder in research and hopes to develop AI technologies that can benefit the industries in Malaysia. He is passionate about teaching and strives to provide high-quality teachings to his students.

Dr CHOO Yen Lee completed her Doctor of Philosophy (Computer Science) Majoring in Virtual, Visualization and Vision at University Technology Malaysia. She also holds 1st Class Honours of Bachelor of Computer Science (Hons), Majoring in Computer Graphic and Multimedia Software at the University Technology Malaysia. She also received 1st Class Honours of Diploma of Computer Science (Hons) Majoring in Multimedia at University Technology Malaysia KL. 

Dr Choo has more than eight years of experience in the Education Industry. Her research/fields of study include human-computer interaction, user experience, multimedia, computer game, and machine learning. With her extensive knowledge and experience in the computing field, she aims to educate and help students reach their highest potential.

Dr Choo’s achievement includes Entering as Finalist in the MYHACKATHON-KK competition. She was also awarded Commercial Value Award for her final year project: Computer Vision-Based Interaction for number Recognition at UTM. Dr Choo published a paper, “Ability of Children to Draw Mathematical Numbers through Computer Mouse”, in the Research Journal of Applied Sciences, Engineering and Technology in 2016.

Ms Manoreeta is a data science enthusiast with a strong foundation in mathematics.  Her education backgrounds are Master of Science (Data Science and Analytics) and Bachelor of Science (Pure Mathematics), both at the UKM. During her Masters, she undertook a capstone project analysing EPF member contributions and withdrawals for the years 2021 and 2022. Her undergraduate research focused on a modified Runge-Kutta method for solving ordinary differential equations. During her time in a manufacturing company, she implemented a new method to optimise packaging department processes, reducing time consumption and increasing efficiency. In the financial sector, she interned as a data scientist, analysing financial data to improve customer experience.

Ms Manoreeta has experience in education industry for almost 8 years and a trainer for data-related courses. She is also a sought-after speaker on data science and machine learning, having delivered a talk on regression in machine learning to university students. Ms Manoreeta’s aim is to equip students with a strong understanding of mathematics and data science applications. Through the creation of impactful learning materials and interactive classrooms, she strives to empower students not only to excel academically but also to thrive in their future careers in the industry. “Talk Data to ME”

Nur Shahirah pursued her academic aspirations at the University of Tun Hussein Onn, graduating with honors in 2021 with a Bachelor’s degree in Computer Science, specializing in Software Engineering. 

Following her graduation, she worked as a software engineer and mobile developer for private companies in Malaysia. Driven by her passion for knowledge, she continued her studies and earned a Master of Science in Information Technology from the same university in 2024. 

After completing her master’s degree, Nur Shahirah embarked on an academic career as a lecturer at Tunku Abdul Rahman University of Management and Technology. She has made significant contributions to the academic community through her publications in books, conference proceedings, and journal articles. As a passionate educator, she is committed to providing high-quality teaching and sharing her expertise with students, shaping the next generation of IT professionals.