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.

Acquainting with technical and teoritical knowldege together with skills in the molecular functionalization and composite system of areas in natural (polysaccharide) and synthetic (polyolefin) derived of polymers. The previous research projects was concerned on physical and chemical modifications of polymers with the main objective to enchane its parent properties on mechanical, thermal, solubility, degradability, selectivity and  adsorption ability. The interfacial, rigidity and homogeneity of the modified polymer is the major considerations in order to meet the potential application as the membrane separation of organic pollutants. The outcomes of this projects is knowledge and methodology on molecular modification of chitosan (as a model of polymer) through cross-linking process as a reinforcement agents to increase the said properties of polymer composites. 14 numbers of ISI journals including one review paper has been managed to be published through out the research project. Currently,  looking for the new research opportunities to functionalize the nano based materials (metal oxide based, carbon based, metal etc) with polymer materials in order to increase the functionality, dispersion ability, homogeneity and resistancy of the nano materials. Initiated with research project on band gap re-engineering approach of nano-particle TiO2 with various organic dopants (carbon, nitrogen, sulfur) and chitosan as a support for photoctalyst system on the application of organic pollutants degradation. It is expected that, modified nano-particle TiO2 could be utilize satisfactory in both ultra-violet and visible light, seperatible effectively from the suspension of pollutant mixture, highly selectivity, and re-cycleable. The polymer fucntionalize nano-particle project is then continue to the second project; with nano-particle Fe3O4 coated with polycarboxylic, polyamine and polyol based. The main objective of the project is to modulate the composition, size and magnetic properties of nano-particle Fe3O4 as a metal detectable agent for the nitrile glove formulation. While, the third current project is focused on the thermal and magnetitie properties of nano-particle Fe3O4/Au as a anti-cancer agent. Nano-coated Fe3O4/Au with chitosan and ethylene cellulose for colon drug delivery system is expected to minimize the limitations on premature drug release, poor translation of biorecognition propertyand inffective colon targetting.

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 Chartered Engineer (CEng UK), Professional Engineer (PEng BEM), Senior Member of IEEE, Member of IET, Member of IEM, and Professional Technologist of MBOT. He was the Honorary Secretary for IEEE Dielectrics and Electrical Insulation Society (DEIS) Malaysia from 2020-2023. His main research interests include insulation condition monitoring, partial discharge phenomenon, machine learning, and deep learning applications in fault location and classification. To date, he has secured over RM 923,649.28 in grant funding, where RM 541,990 of it as the Principal Investigator.