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.

I am Erma Rahayu Mohd Faizal Abdullah, the Head of the Department of Artificial Intelligence at Universiti Malaya. My passion lies in advancing the fields of computer vision, machine learning, and their applications in areas such as healthcare, education, and manufacturing. As an academic, I’ve had the privilege of shaping the AI curriculum at Universiti Malaya, including designing courses like Artificial Intelligence: Principles & Techniques and NextGen Software Development. My goal is to ensure students are equipped with the knowledge and skills to thrive in the evolving AI landscape. My research focuses on solving real-world problems through AI. One of my proudest projects is UMFit, a real-time monitoring app for cardiac patients that aims to improve healthcare accessibility and reduce clinical burdens. I’m also actively involved in using CBCT data for dentistry research and collaborating with Perodua to enhance automation and quality systems in manufacturing. Ethical AI is a significant part of my work. As an IEEE CertifAIEd™ Authorized Assessor, I focus on promoting algorithmic fairness, transparency, and privacy. I also apply explainable AI (XAI) tools, such as SHAP, to ensure my AI models are interpretable and trustworthy. Education is my passion, and I strive to empower students with high-order thinking skills and innovative approaches to learning. I also enjoy collaborating with international scholars, such as hosting Nishitani Aoi from Ehime University, and incorporating dynamic topics like intelligent agents and Data Intelligence into the curriculum. I strongly believe in building bridges between academia and industry. Collaborations with global leaders like Zhipu AI and Alto AI have brought valuable resources to my department, ensuring we remain at the forefront of AI research and innovation. I am driven by a vision of creating impactful AI solutions and nurturing the next generation of AI experts. My journey continues to be fueled by curiosity, collaboration, and a commitment to ethical innovation.

Lai Kuan Tham is currently a Senior Lecturer at the Department of Biomedical Engineering at Universiti Malaya. She is a member of the Centre for Applied Biomechanics. She obtained her PhD, MEngSc, and BEng in Biomedical Engineering from Universiti Malaya. Her research interests span widely across the areas of biomechanics, particularly in human movement analysis, physical activity monitoring, and medical diagnosis based on wearable technologies and artificial intelligence. Current research includes gait and movement analysis in lower limb amputees, early detection of epilepsy, and scoliosis classification.