DR. NOORHIDAYAH BINTI MAMAT

Dr. Hidayah obtained her first degree in Bachelor of Science with Islamic Studies specialized in Ecology and Biodiversity from Universiti Malaya in 2009, under Public Service Department Malaysia scholarship. She then continued her interest in Science Biology at the same university under the National Science Fellowship (NSF), Ministry of Science, Technology and Innovation scholarship where she obtained a Master of Science in Molecular Taxonomy in 2013. Afterward, she worked as a Research Assistant to expand her experience in the research world before she continued her PhD. In the year 2015, she received a scholarship from the Ministry of Higher Education Malaysia to pursue her PhD focusing on Bio-ecological and taxonomic studies of Malaysian dragonflies at Universiti Malaya. While completing her PhD, she becomes a recipient of short-term International Program Associates (IPAs) under the International Joint Graduate School Program RIKEN, by the Japan Science and Technology Agency (JST), Wako-Shi, Japan in 2016. RIKEN is Japan's largest comprehensive research institution renowned for high-quality research in a diverse range of scientific disciplines. While carrying out her PhD project at RIKEN, she was engaged in the Enzyme Research Team, Biomass Engineering Research Division, RIKEN Center for Sustainable Resource Science. The research she has conducted at RIKEN to date aims to demonstrate the micro joint wing properties in the suborder Zygoptera using combined techniques of laser scanning confocal microscopy (LSCM), scanning electron microscopy (SEM), atomic force microscopy (AFM) to explore resilin elasticity investigations and analyze of protein components. In 2018, she completed her PhD and started her career as a part-timer lecturer, and afterward, she has been appointed as Senior Lecturer in 2020 under Ecology Biodiversity Programme, Institute of Biological Sciences, Faculty of Science, Universiti Malaya. She currently teaches Animal Behaviour & Ethology and Animal Structure, Function & Physiology subjects to undergraduate students. She has vast experience in teaching and learning starting as a demonstrator back in 2013 and involved in immense research field preliminary back to 2010 and became a reviewer in several peer-reviewed and high impact journals such as PLoS ONE.

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ASSOCIATE PROF. DR. LILY AZURA BINTI SHOAIB

Dr Lily Azura Shoaib  is a clinical specialist and a senior lecturer in the Department of Paediatric Dentistry & Orthodontic,  Faculty of Dentistry, University of Malaya, Malaysia. She gained her Master of Clinical Dentistry in Paediatric Dentistry from Edinburgh Postgraduate Dental Institute, the University of Edinburgh in 2008 and bachelor in Dental Surgery from Tokyo Medical and  Dental University, Tokyo in the year 2000. Her research interests centre around cariology, special care dentistry, oral health quality of life  and dental education. 

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DR. SITI SORAYA BINTI ABDUL RAHMAN

Dr. Siti Soraya Abdul Rahman is a Senior Lecturer at the Department of Artificial Intelligence, Faculty of Computer Science and Information Technology. She was appointed as a program leader for ALEPS (Adaptive Learning Environment for Problem Solving) under the Innovative Technology Research Cluster. Previously, she was the Head of Augmented Human Learning Program, under the Humanities Research Cluster, University of Malaya. Currently, she is the Principal Investigator for a UM Living Labs @ UMSDC entitled "Smart Waste Management System: An IoT-Based Approach For Automated Waste Classification And Bin Monitoring". She is also a University of Malaya Library Committee representing the faculty. She graduated with a Bachelor's degree in Information Technology from the University of Glamorgan, UK in 1998 and received a Master's degree in Computer Science from the University of Malaya in 2003. She was conferred with a PhD in Cognitive Science from the University of Sussex, UK in 2012. Her current research interests are in the area of Machine Learning and Deep Learning; Knowledge Representation and Reasoning; Data Science (predictive analytics, data analytics, text analytics, and sentiment analysis); Cognitive Science (cognition and programming; physics problem solving); Artificial Intelligence in Education; E-learning and Expert System.

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