The main focus of   Mohammad Rais’s research are in the areas of Cardiovascular Pharmacology, Natural Products and Drug Discovery. He has published several articles in international peer-reviewed journals and at the same time highlighted the pharmacological actions of  several local medicinal plants  including daun ketum (Mitragyna speciosa), cekur (Kaempferia galanga) and kacip Fatimah (Labisia Pumila).  These studies have been made possible by a series of R & D grants which he  successfully obtained under the Malaysian Development Plans and High Impact Research Grants (UM). To promote a more systematic and collaborative research in natural products in University of Malaya, Rais  helped established the Centre for Natural Products Research and Drug Discovery (CENAR) in 2003.  He has also a keen interest in basic science research, particularly in the area of Vascular Pharmacology.  His current research include investigating the role of novel angiotensin peptides, nitrates and nitrites, flavonoids and several phytochemicals in the improvement of endothelial dysfunctions in hypertension and diabetes.     Selected Publications   Autophagy through stress-activated signals: a cellular self-defence mechanism against MBIC in human breast cancer cell-lines. Mohadeseh Hasanpourghadi, Nazia Abdul Majid, Mohd Rais Mustafa. Biochemical Pharmacology. doi: 10.1016/j.bcp.2018.03.030 (ISI-Indexed) Choy KW, Lau YS, Murugan D, Mustafa MR (2017) Chronic treatment with paeonol improves endothelial function in mice through inhibition of endoplasmic reticulum stress- mediated oxidative stress. PLoS ONE 12(5): e0178365. https://doi.org/10.1371/journal. pone.0178365 (ISI-Indexed) Ling WC, Liu J, Lau CW, Murugan DD, Mustafa MR, Huang Y. (2017).Treatment with salvianolic acid B restores endothelial function in angiotensin II-induced hypertensive mice. Biochem Pharmacol. 2017 Jul 15;136:76-85. Wei Chih Ling, Mohd Rais Mustafa, Paul M Vanhoutte, Dharmani Devi Murugan. (2017). Chronic administration of sodium nitrite prevents hypertension and protects arterial endothelial function by reducing oxidative stress in angiotensin II-infused mice. Vascul Pharmacol. 2017 May 26. pii: S1537-1891(16)30268-3 Choy KW, Mustafa MR, Lau YS, Liu J, Murugan D, Lau CW, Wang L, Zhao L, Huang Y. 2016.Paeonol protects against endoplasmic reticulum stress-induced endothelial dysfunction via AMPK/PPARδ signaling pathway. Biochem Pharmacol. 2016 Sep 15;116:51-62.      

Here’s a revised and more polished version of your text: Dr. Adeleh Asemi Zavareh is a Senior Lecturer in the Department of Software Engineering at the University of Malaya, Malaysia. Her expertise lies in artificial intelligence (AI), the Internet of Things (IoT), and multi-criteria decision-making (MCDM), with a primary focus on developing intelligent decision support systems to address complex challenges across various domains. Dr. Asemi earned her Ph.D. in Artificial Intelligence from the University of Malaya under the esteemed Malaysian Technical Cooperation Programme (MTCP) Scholarship. She also holds an M.Sc. in Computer Science from Pune University, India, and a B.Sc. in Computer Engineering from Ashrafi Esfahani University, Iran. In 2015, she completed her postdoctoral research in Human-Computer Interaction (HCI) and Human Decision-Making Simulation at the University of Malaya. With over a decade of academic experience, Dr. Asemi has supervised more than 50 postgraduate students and has taught a diverse range of courses at both undergraduate and postgraduate levels, including Artificial Intelligence, Software Engineering, the Internet of Things, and Big Data Management. Her research contributions encompass fuzzy-based decision support systems, IoT system modeling, and big data analytics, with numerous publications in high-impact ISI and Scopus-indexed journals. Dr. Asemi is actively engaged in interdisciplinary research collaborations across domains such as healthcare, environmental science, and law, where she leverages AI-driven approaches to address real-world challenges. Since 2019, her research focus has expanded to include the multi-criteria evaluation of big data and IoT technologies, solidifying her role as a leading contributor to smart decision-making frameworks. As an active member of the global academic community, Dr. Asemi serves as an editor and reviewer for leading journals, including Applied Soft Computing, and actively participates in renowned international conferences such as SIGMOD and FOCUS. Her unwavering commitment to research excellence and innovation continues to make a profound impact on the fields of AI, IoT, decision-making, and software engineering.

Dr. Archina Buthiyappan is a Senior Lecturer in the Department of Science and Technology Studies at the Faculty of Science, University of Malaya. Her research expertise spans Green Materials & Technology, Sustainable Waste Management, Advanced Wastewater Treatment, Cleaner Production Technology, and Inherent Safety and Health. She is particularly renowned for her work in green adsorbents, adsorption processes, waste management strategies, and initiatives aimed at achieving zero carbon emissions and carbon neutrality. In addition to her scientific contributions, Dr. Archina integrates Environmental, Social, and Governance (ESG) principles into her research, emphasizing sustainable industrial practices, corporate environmental responsibility, and policy-driven frameworks for a greener economy. Her work extends beyond academia, collaborating with industries and policymakers to bridge the gap between scientific innovation and practical implementation. Dr. Archina has guided over 10 PhD and Master’s students and has contributed more than 50 publications to high-impact journals and conference proceedings. She is an active member of professional bodies such as Institut Kimia Malaysia (IKM) and the Institute of Materials, Malaysia (IOM). As a dedicated chemist and sustainability advocate, her research is deeply rooted in advancing environmental sustainability, driving innovation, and developing solutions for a cleaner, more responsible future.