Umi Kalsum Zolkafli @ Zulkifly  holds the Bachelor of Quantity Surveying from Universiti Teknologi Mara. She attained her Master of Science in Construction Contract Management from Universiti Teknologi Malaysia in the year 2008.  She completed her Doctoral degree in Built Environment from Universiti Teknologi Mara in the year 2017 and is now persuading her research interest in construction contract management and professional practice in built environment areas.  She worked with the industry for 10 years prior joining Universiti Malaya, as a Quantity Surveyor and Management Representatives at ARR QS Consultancy. Ever since joining UM as a Lecturer in 10th October 2008, Umi Kalsum Zolkafli @ Zulkifly received the certificate of Excellent Service by UM in the year 2012.  She has produced 2 Master graduates and currently supervising 5 PhDs.  She currently holds 26 publications including books, ISI-ranked articles, Scopus-indexed articles, chapters in book, as well as, in refereed international and national journals. She also has presented papers in conferences locally and internationally.   In addition, she also won Gold, Silver and Bronze awards for her innovation through research and development in multiple national competitions. One of her innovations through community reserach project had also received Intellectual Properties Copyrights. In terms of research grant, Umi Kalsum Zolkafli  has received  in total of RM 2,462,813.66 as principal investigator and co-researcher. She is also a reviewer for multiple international journals and conference proceedings. She is also actively involved with Board of Quantity Surveyors of Malaysia (BQSM) and Royal Institution of Chartered Surveyors Malaysia (RISM) as organizing committee for several international conferences, seminars and workshop Umi Kalsum Zolkafli @ Zulkifly registered as Consultant Quantity Surveyors (CQS) under the Board of Surveyors Malaysia  and a Fellow of The Royal Institution of Surveyors Malaysia (FRISM). She has served as a main committee of Quantity Surveying Division, RISM for more than 5 years.  In addition, she has contributed her expertise in accreditation of Degree programme for public and private Universities under Board of Surveyors Malaysia. She also one of the assessor for the Diploma accreditation programe with Royal Instituitions of Surveyors Malaysia

Dr. Nor Eeza Zainal Abidin is a sports management lecturer at the Faculty of Sports and Exercise Science, Universiti Malaya. Her background is in accounting, public administration and sports management and she has more than 12 years working experience in sports services across several private companies and public universities in Malaysia. Her research interests are related to sociology of sports, management and sustainability. She is currently involved in research related to sports facilities including accessibility for persons with disabilities, social challenges of physical fitness for autistic swimmers, and female sport students as future leaders.  Nor Eeza is an active sportsperson and has represented the country in softball and floorball.

Hema Subramaniam is a Senior Lecturer in the Department of Software Engineering, Faculty of Computer Science and Information Technology at Universiti Malaya. She earned her PhD in Software Engineering from Universiti Putra Malaysia (UPM) in 2016, following a Master of Computer Science (Software Engineering) from Universiti Selangor in 2010 and a BSc in Information Technology from the same institution in 2006. Her research focuses on software architecture and quality measurement, with an emphasis on reusability and real-time systems. Recently, she has expanded her work into mental health analytics, exploring anxiety prediction via slang analysis on social media platforms. She investigates how system architecture can support real-time processing and sentiment analysis using natural language processing (NLP) models tailored to regional slang, contributing to mood detection systems for early anxiety prediction. Additionally, she has worked on embedded software solutions for learning disabilities (LD) supported by a grant. Hema has published both software engineering and mental health analytics, with ongoing projects in slang-based mood detection, and social media-driven anxiety prediction. Currently, she supervises a group of Master’s students working on system architectures for scalable, real-time mood and anxiety detection applications under her guidance.