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Professor Ir Ts. Yap Kian Meng

Associate Professor Dr Yap Kian Meng received a Diploma in Electronic Engineering from the Tunku Abdul Rahman College, Malaysia in 1997 and a Master’s degree with distinction from the Queen’s University Belfast in 2002. He completed the Engineering Council Examination Part 2 programme in 2000 and became a member of the IET, UK. In 2008, he obtained his PhD from the Queen’s University Belfast through his research which focussed on providing network Quality of Service (QoS) for Distributed Haptic Virtual Environments (DHVEs). Currently, he is a member of the IEEE and the IET. Dr Yap has spent 15 years working in areas such as data networks (IT), telecommunications, computer networking manufacturing industries and electronic control system for machinery. He is the principal investigator for a few projects supported by the Ministry of Higher Education (MOHE), ERGS, MCMC, Lancaster University (UK), PPRN, industrial partners and ����ԭ�� Internal Grant respectively. He has also obtained a travel grant from the British Council for research collaboration activities in the UK. His current research interests include haptics over WIFI/MANET, drones, odour sensing/tracking, tele-haptics, tele-robotics, materials sensing, software development, virtual reality and various development projects using WSN.    

Dr Yap also heads ����ԭ��’s H.O.M.E. Lab (House of Multimodal Evolution) , which provides technological services such as mobile development, web development, 3D printing, assistive technology for the visually-impaired, customised robotic application, remote monitoring system, distributed haptic application and various others.

Ts. Dr Tan Tee Hean

Dr. Tan Tee Hean holds a PhD in Computing from ����ԭ�� and is a certified Oracle Java Instructor and Java Developer. She has extensive experience as a trainer for Java and Android under the Malaysia Digital Economy Corporation (MDEC) Train-the-Trainer and Job Camp programs.

With a strong passion for teaching and a commitment to exploring emerging technologies, Dr. Tan firmly believes in the transformative role of software development in driving technological progress. She served as a programming lecturer at the School of American Education, ����ԭ��, for seven years. 

Her research interests include Natural Language Processing (NLP), the Internet of Things (IoT), mobile application development, and other emerging areas. She continues to expand her research pursuits to stay at the forefront of innovation.
 

Dr Tang Tiong Yew

Dr Tang Tiong Yew received Diploma from Tunku Abdul Rahman College (KTAR), Bachelor of Science (2006) from Tunku Abdul Rahman University (UTAR) and Doctor of Philosophy (2016) from Monash University. He is a senior lecturer at Research Centre for Human-Machine Collaboration, School of Engineering and Technology, ����ԭ�� (SU), Malaysia. He taught at Monash University (School of Information Technology, 2016), Tunku Abdul Rahman University College (TARUC, Lecturer, 2016, Senior Lecturer, 2019). Dr. Tang was the visiting scholar at Tokyo Metropolitan University (from September 2010 to March 2011).

Dr. Tang’s research interests include Robotic Process Automation, Deep Learning, Data Mining, Big Data Analytics, Business Intelligence, Artificial Intelligence and Machine Learning.

Grant Received:
Kick Start Grant Scheme 2022, GRTIN-KSGS-DBA[S]-02-2022, RM20,000.00. Project Description: Robotic Process Automation (RPA) for Enterprise Resource Planning (ERP) System with Deep Learning Techniques and Partial Least Square with Structural Equation Modelling (PLS-SEM).

International Patent Filed:
Filled Patent Corporation Treaty (PCT) international patent application in December 2019 with the title “METHOD FOR ENSURING THE AUTHENTICITY AND VALIDITY OF ITEM OWNERSHIP TRANSFER” and published at PCT on 1st July 2021. International Publication Number: WO2021/133150A1

Professor Ts. Lee Yun Li

Yun Li, Lee is a Professor at the Faculty of Engineering and Technology. She has more than 15 years of teaching and research experience in higher education. She is currently a senior member of the IEEE, a Professional Technologist of MBOT, and the Malaysia Director of the International Association for Convergence Science & Technology (IACST). She has contributed to several local and international research projects such as the FRGS, PPRN, and Japan-APT funds, and published in leading international journals, conferences, and book chapters. Her current research includes ultrasound imaging, time series data analysis, and designing a cognitive training module.