Tan Chin Joo is currently a Senior Lecturer in the Department of Mechanical Engineering, Faculty of Engineering, UM. He obtained both his Bachelor of Engineering degree and Master of Engineering Science degree from UM in year 1999 and 2003, respectively. He was a tutor in UM 1999 and later be promoted to a lecturer in 2003. In 2005, he was offered a scholarship by JICA for his doctoral study in Toyohashi University of Technology, Japan. After completing his study in 2008, he joined TOPY Industries Limited, Japan. After 3 years of working in TOPY (2 years in R&D Dept. and 1 year in Production Dept.), he returned to Malaysia and joined Universiti Tunku Abdul Rahman (UTAR). He joined UM in December, 2011. His research interests include stamping of lightweight parts, finite element analysis of metal forming processes, laser hardening, green forming processes, tube forming.      

Associate Professor Dr Tan Kit Mun is a senior consultant geriatrician in the University of Malaya Medical Centre (UMMC). She received her medical degree from Trinity College, (MB. BCh. II Hons) University of Dublin, Ireland in 1999. Dr. Tan is a fellow of the Royal College of Physicians Edinburgh (FRCP) UK. She completed her specialist training and received her Certificate of Satisfactory Completion of Specialist Training (CSCST) in Geriatric Medicine from the Irish Committee of Higher Medical Training, Royal College of Physicians Ireland in 2009. She was practising as a consultant geriatrician in Dublin, Ireland until 2012. Dr. Tan's special interest include stroke, atrial fibrillation, dementia, osteoporosis, hypertension in the older person and comprehensive geriatric assessment of the complex older person. Dr. Tan is also an Assoiciate Professor with the Faculty of Medicine, University of Malaya. She is a trainer for the Malaysian Geriatric Medicine Specialist Training Scheme, Masters of Internal Medicine Programme in University of Malaya as well as the University of Malaya Medical Programme (UMMP). She is a member of the Malaysian Society of Geriatric Medicine (MSGM) and participates as a speaker and presenter of research findings at the annual Malaysian Congress of Geriatric Medicine (MCGM).  

Senior Lecturer | Researcher in AI, Big Data, Construction Management and Sustainable Construction Dr. Zafira Nadia Maaz is a Senior Lecturer at the Department of Quantity Surveying, Universiti Malaya, specializing in artificial intelligence (AI), big data analytics, and digital governance for the built environment. Her research focuses on AI-driven decision intelligence, data driven decision making, data governance, carbon management, and digital transformation in construction. She has played a key role in Construction 4.0 initiatives under the Malaysian Construction Industry Development Board (CIDB), contributing to the digitalization and modernization of construction practices through Big data. She has secured multiple government-funded and industry-funded research grants and collaborated with key stakeholders, including the Ministry of Works Malaysia, RISM, CIDB, IEM, and JKR. She actively published in WoS and Scopus journals as well as co-authored several industry report, offering insights into Malaysia’s digitalization and data analytics in construction landscape. In 2023, she was invited to present her research on data analytics and AI at the University of Cambridge, a prestigious engagement funded by the Ministry of Higher Education Malaysia. She is also the youngest female recipient of the RICS Young Achiever Award in Southeast Asia, distinction that acknowledges her contributions to advancing big data and AI applications in quantity surveying and the built environment. Beyond her academic and research pursuits, she is known for her open-minded and progressive approach to leadership, fostering a collaborative and innovative learning environment for students and professionals alike. She is deeply passionate about translating research into practical solutions that drive the construction industry forward through AI, data-driven governance, and sustainability.