ASSOCIATE PROF. SR DR. NOOR SUZAINI BINTI MOHAMED ZAID

Suzaini M. Zaid is currently teaching at the Department of Building Surveying in the Faculty of Built Environment and was the first EcoCampus Coordinator in Universiti Malaya. Suzaini holds a PhD in Planning and Urban Development from the Faculty of the Built Environment, University of New South Wales. Suzaini was part of the testing of the United Nations Environment Programme’s Sustainable Building and Climate Initiative (UNEP-SBCI)’s Common Carbon Metric and Protocol in the Malaysian context through her PhD research.    Her current research interest focuses on green intervention strategies through vertical greenery systems, operational energy, and user behaviour, which accumulated in multiple journal publications and her first book titled “Human Impact on Climate Change: Mitigation and Adaptation in the Built Environment”. She has teaching experience in the fields of building surveying, urban planning, and sustainable development.    Suzaini is also a professionally certified Green Building Index (GBI) Facilitator and a Malaysian Carbon Reduction and Environmental Sustainability Tool (MyCREST) Qualified Professional. She is determined to positively impact the built environment through green interventions to address the existential crisis of climate change.

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DR. MD FARUK ABDULLAH

Md Faruk Abdullah is a Senior Lecturer at the Department of Shariah and Economics, Academy of Islamic Studies, Universiti Malaya (UM). Prior to joining UM, he was a Senior Lecturer at the School of Banking and Finance, Faculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), where he served for eight years. He obtained his PhD in Islamic Economics from Universiti Malaya in 2016 and completed the Chartered Islamic Finance Professional (CIFP) program at INCEIF University in 2012. His academic background also includes a bachelor’s degree in Fiqh and Usul al-Fiqh (Islamic Law and Jurisprudence) from the International Islamic University Malaysia (IIUM) in 2010, where he was awarded the Best Student (Overall) in the faculty. Dr. Faruk has demonstrated expertise in teaching Islamic finance, wealth management, Shariah, and fiqh al-mu‘āmalāt at both undergraduate and postgraduate levels. He has published extensively in Web of Science (WoS) and Scopus-indexed journals, with an H-index of 4 (WoS) and 6 (Scopus). His research interests include the Shariah dimensions of business and finance, product innovation in Islamic finance, Islamic social finance, and Islamic wealth management. He previously served as Associate Editor of the Journal of Nusantara Studies (JONUS) and currently collaborates with the Accounting Research Institute (ARI) at Universiti Teknologi MARA (UiTM) as an Associate Fellow. In addition to his academic work, he shares insights on fiqh al-mu‘āmalāt, Islamic finance, and wealth management through his dedicated YouTube channel: https://www.youtube.com/channel/UC2mjMBd7f_AmnkyjtwIEeCA

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IR. DR. WONG JEE KEEN RAYMOND

Wong Jee Keen Raymond received the Bachelor of Electrical and Electronics Engineering (1st Class Honors) and Master of Electrical Engineering from Universiti Tenaga Nasional in 2010 and 2013 respectively. He obtained his PhD from Universiti Malaya in 2016. He worked as a Product Engineer at Motorola Solutions (2010-2011), Senior Lecturer (2016-2018), and Programme Leader (2019-2021) at Tunku Abdul Rahman University College. Since 2021, he has been working as a Senior Lecturer at Universiti Malaya. He is a Professional Engineer (PEng Mal), Chartered Engineer (CEng UK), Senior Member of IEEE (Institute of Electrical and Electronics Engineers), Member of IET (Institution of Engineering and Technology), Graduate Member of IEM (Institution of Engineers Malaysia), and Professional Technologist of MBOT (Malaysia Board of Technologist). He was the Honorary Secretary for IEEE Dielectrics and Electrical Insulation Society (DEIS) Malaysia since 2020. His main research interests include insulation condition monitoring, partial discharge phenomenon, machine learning/deep learning applications in fault location and classification.

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