Dr. Adediran Anthonia Oluwatosin is a Senior Lecturer in the Department of Real Estate, Faculty of Built Environment, Universiti Malaya, with over 13 years of academic experience. She holds a PhD in Real Estate from Universiti Teknologi Malaysia, focusing on housing finance; a Master’s in Real Estate Development and Investment from the University of Greenwich, UK; and an HND in Estate Management from Yaba College of Technology, Nigeria. She also completed specialized training in Data Science in Real Estate at the MIT School of Architecture and Planning, USA. Before joining UM, she served as an Adjunct Assistant Professor at the Federal University of Uberlândia, Brazil and a lecturer at the Federal Polytechnic, Ado-Ekiti. Her research interests include housing finance, housing affordability, green finance, PropTech, data analytics, energy efficiency, and sustainable real estate development. She has published extensively on machine learning applications in renewable energy, climate change, and housing, with several papers indexed in Scopus and Web of Science. Dr. Adediran applies advanced econometric modeling, statistical analysis, and big data analytics in her work. She supervises postgraduate students, teaches real estate finance and analytics-related courses, and contributes to program development and faculty committees.

Dr Sithi V Muniandy is currently a Professor of Theoretical Physics at the Department of Physics, Faculty of Science. He received his DPhil in Mathematics (Oxford, UK, 1998) for his work on wavelet multiscale theory of turbulence, MSc in Theoretical Physics (UKM) and BSc(Hons) in Physics. He is actively involved in basic research covering broad field of statistical physics and quantum dynamics, namely anomalous transport phenomena in complex fluids, fluctuation in classical and quantum systems, dusty plasmas, decoherence dynamics of noisy quantum walk and quantum entanglement in noisy environment. Having served as the Deputy Dean (Research) at the Faculty of Science, Frontier Science Research Cluster Dean and Universiti Malaya Senate Member,  Dr Sithi advocates the importance of interaction across the arts, humanities and sciences, and started to explore applications of theoretical models and analytical tools from physics to system biology and social dynamics, working with biologists to understand emergence dynamics in mycelium network, animal movement ecology, collective behaviors, thermodynamics of ecosystem and soundscape ecology. Dr Sithi founded the Learning Enrichment Committee (LearnX@2015) at the Department of Physics, Universiti Malaya, where students are empowered to explore physics outside the syllabus using artscience approaches and competition-based peer-group learning. These include Physics Theatre – Atomystics, Entropic SDG through poetry, GIS Visual Science, Robotic IoT Drone (RiOD) Competition, 'Quantum Debate in Wayang Kulit' (shadow puppet) and 'Quantum Revolutions in Wayang Kulit' in celebration of International Year of Quantum Science and Technology (IYQ2025). Dr Sithi enjoys exploring emergence dynamics in soundscape ecology and Nature/wildlife photography. He uses Nature as the sourcebook for LearnX and coursework activities, reflecting on the complexities of life and the environment, and its implications on the  anthropic universe.

Mohammad Nazri is an associate professor in the Faculty of Business and Economics, Universiti Malaya. He obtained his Doctor of Business Administration (DBA) from the University Technology MARA (UiTM), MBA and BBA from the National University of Malaysia (UKM). He had almost 12 years of professional experience with RHB Investment Bank. His research interests include management, supply chain, leadership, and strategic management. Human Capital, Business Ethics, and Islamic Perspectives in Business are among his teaching specialties. He published several books as well as more than 90 research articles in WOS, ESCI, Scopus, and other refereed journals. His research grants included those from the University Malaya Research Grant (UMRG), Kementerian Pelajaran Malaysia (KPM), Long-Term Research Grant (LRGS) and Special Interest Group Grant, UiTM.