Dr. Suhaili Sarif is currently a Senior Lecturer at the Department of Shariah and Management, Academy of Islamic Studies Universiti Malaya. He obtained his Bachelor Degree in Shariah (Bsh) in 1999 and Master in Business Administration (MBA) in 2002 both from Universiti Malaya. He then received his PhD in Islamic Studies (2014) from the University of Edinburgh UK. He specializes in Islamic Management, Islamic Wealth Management and Halal Management. He teaches both the undergraduate and postgraduate programmes covering many subjects within his related expertise. He has been researching on many topics related to the areas of Halal Industry, Zakat and poverty eradication, Mosque institution and Islamic Tourism Industry.  

Dr. Hemza Azri is currently a senior lecturer at the Department of Physics, Faculty of Science, Universiti Malay. He has his PhD in Physics from Izmir Institute of Technology, Turkey, in 2018. His research interests lie in gravitational physics, specifically the theoretical and experimental aspects of general relativity (GR) and alternative theories of gravity. He also works on the interplay between gravitational and particle physics. Dr. Azri made significant contributions to purely affine gravity, a theory based on affine connections rather than the metric (as in GR) for describing gravitational interactions. For decades, these theories have been seen as lacking physical application due to difficulties in incorporating matter. In a series of papers, he succeeded in demonstrating the practical use of these theories by developing their cosmological implications. A notable result is a specific cosmological inflationary model, known as "Affine Inflation" proposed by him and his collaborator. He has also proposed (with collaborators) a gravity theory based on the Ricci determinant. This work presents for the first time a metric-affine Ricci-Determinant based type of gravity that, unlike GR and its standard modified versions, is non-polynomial in the curvature and is allowed by the general invariance. This type of gravity showed interesting implications for relativistic astrophysics. On the particle physics side, Dr. Azri worked on dark matter physics where he proposed (with collaborators) a gravitational scenario for dark matter decay into the standard model particles. As a theorist, he is interested in fundamental problems like the cosmological constant problem. Dr. Azri was also involved, as a researcher, in the UAE-ATLAS Cluster (CERN Experiment). Alongside his research activities, Dr. Azri has developed a strong profile as a teacher of physics. In his lectures, he places particular emphasis on clarity and logical structure, using well-chosen examples to guide students through challenging material and to encourage genuine understanding rather than rote learning. His commitment to effective communication also extends beyond the classroom: he is capable of presenting advanced physical ideas in a way that is accessible to non-specialists. By translating complex theories into clear and relatable language, he promotes a broader appreciation of physics and contributes to the public’s engagement with science.

Dr. Jeevan began his academic journey by earning a Bachelor’s degree in Electrical Engineering from Universiti Teknologi Malaysia (UTM) in 1999. He then advanced to Universiti Sains Malaysia (USM), where he completed an MSc in Mechanical Engineering in 2003 and a PhD in Heat Transfer in Electronic System in 2007. In 2014, he obtained a Professional Certificate in Electronic Engineering from the Board of Engineers Malaysia (BEM), further cementing his status as a registered professional engineer. Dr. Jeevan holds a chartered engineer registration via IET (UK) since 2012 . Within the Faculty of Engineering, he leads interdisciplinary research efforts in optimization, artificial intelligence, and control systems, with applications in healthcare, IR4, and electronic circuits. He heads the Expert System & Optimization Lab (ESOL), which focuses on integrating AI and swarm intelligence with control strategies to address societal challenges like cancer treatment optimization and Industrial Revolution 4. ESOL collaborates with dental faculties at UM and international institutions across the UK, Germany, and China. Dr. Jeevan’s research portfolio is both broad and impactful: he has authored over 100 peer‑reviewed journal articles, garnered more than 1,300 citations, and currently having an H‑index of 20(2025). Noteworthy recent publications include studies on cancer chemotherapy controlled via optimal control and swarm intelligence; exploration of distortion estimation using image gradients; investigations into vehicle type classification using semi‑supervised PCA and convolutional networks; and research with Malaysian Industry related to Industry Revolution 4.0. In 2024 alone, he co-authored works on dual‑therapy cancer control and metaheuristic optimization for treatment planning, demonstrating his ongoing leadership in high‑impact interdisciplinary research. Beyond research, Dr. Jeevan is active in grant panel review, academic examination, and journal referee service. He has served as a panel assessor for UM internal grant schemes (2019–21) and reviewed proposals for Universiti Pertahanan Malaysia, Taylor’s University, and the international journal Applied Soft Computing and IEEE access. In recognition of his dedication to service, he received the Certificate of Excellent Service from Universiti Malaya in 2014 . In the classroom, he teaches the Optimization Methods (KIE4024) and Numerical Analysis(KIE3005) for undergraduates and lectures on Machine Learning(KQC7015), Industrial Automation and Robotics(KQC7031) and Embedded System(KQC7029) for Masters of Coursework, equipping engineering students with AI‑based approaches to address complex, real‑world engineering problems through optimal control and swarm intelligence.