ASSOCIATE PROF. DR. LEAW CHUI PIN

Dr. Chui Pin Leaw is an Associate Professor at the Institute of Ocean and Earth Sciences (IOES), University of Malaya. Her research pertains to marine protistology and phycology, focusing on the studies of Harmful Algal Blooms (HABs). Her research spans ecology, taxonomy, molecular systematics, evolution, and the genetics and toxigenesis of harmful toxic microalgae. She commenced her academic career at Universiti Malaysia Sarawak (UNIMAS) in September 2008 as a senior lecturer DS51 in the Faculty of Resource Science and Technology, and a Research Fellow at the Institute of Biodiversity and Environmental Conservation (IBEC). She obtained her First Class BSc. (H), in Marine Science from the National University of Malaysia (Universiti Kebangsaan Malaysia) and subsequently earned her MSc. and Ph.D. in Marine Science from the same institution. She is affiliated with professional organizations pertinent to her field of study, including the International Society for the Study of Harmful Algae (ISSHA), the Phycological Society of America (PSA), and the Japanese Society for the Promotion of Science (JSPS). She is actively engaged in editorial responsibilities, having been appointed as a reviewer for high-impact factor journals (BMC Evolutionary Biology, PlosONE, Harmful Algae, Scientific Reports), and has served as a regional editor on the editorial board of Harmful Algae News. Throughout her academic tenure, she has mentored over 40 undergraduate students, six Ph.D. candidates and 16 MSc students who have completed their studies under her guidance. 

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TS. DR. CHANG SIOW WEE

Ts. Dr. Siow-Wee Chang is a senior lecturer in the Bioinformatics Programme at the Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Malaysia. She earned her Ph.D. in Artificial Intelligence (AI) from Universiti Malaya. To date, she has published over 40 papers in reputable journals and conference proceedings at both local and international levels. Her research spans artificial intelligence (AI), data science, bioinformatics, and medical informatics, with a strong interdisciplinary approach that bridges life sciences, medicine, and computer science. She applies AI to advance biomedical research, focusing on disease diagnosis & prognosis, biomarker discovery, and drug discovery & repurposing. Her studies integrate AI-driven methods, multi-omics data integration, gene expression analysis, and spatial transcriptomics to identify potential disease biomarkers and therapeutic candidates. She also applies computational drug screening, molecular docking, and AI-driven predictive modeling to accelerate pharmaceutical research.  Beyond biomedical research, Siow-Wee Chang applies machine learning and deep learning in agricultural studies, particularly in plant species identification and crop disease detection. Her works focus on uncovering patterns in crop data and analyzing their relationships, contributing to advancements in precision agriculture, plant health monitoring, and data-driven farming solutions.

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DR. LAI NGAN SHAN

Dr. Lai is a haematopathologist with area of interest in both adult and childhood haemato-oncology. After earning her Master’s in Pathology (Haematology) in 2022, she gained experience as a specialist in Sarawak General Hospital (SGH), Kuching. She helped in establishing new services such as Flow Cytometry for Leukaemia, Lymphoma and Myeloma as well as BCR-ABL1 quantification for Chronic Myeloid Luekaeia in SGH. In December 2024, she joined the Department of Pathology, University Malaya.  

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RECENT PUBLICATION

  • Adams, Donnie; Sothinathan, Jayanti S.; Radzi, Norfariza Mohd (2026). Science Mapping The Evolution of Middle Leadership Research, 2002-2023. Educational Management Administration & Leadership


  • Uchiyama, Yosuke; Furuoka, Fumitaka (2026). Uberisation and Resistance to Online Food Delivery Gig Work in Asia: Lessons from Malaysia. Journal of Contemporary Asia


  • Shee, Pay Yee; Dollard, Maureen F.; Idris, Mohd Awang (2026). How Psychosocial Safety Climate Affects Employee Well-being Via Basic Psychological Needs: a Longitudinal Multilevel Moderated Mediation Study. Journal of Applied Psychology


  • Xu, Jinpeng; Yang, Jing; Huang, Yaqun; Por, Lip Yee; Chen, Xiaotong; Zhao, Chunna (2026). Dfgnet: a Dual-pathway Graph Neural Network Via Frequency Decomposition for Spatiotemporal Forecasting. Expert Systems With Applications


  • Nawi, S. N. Mat; Khandaker, Mayeen Uddin; Ihsan, N. S. Mohd Nor; Masdukin, A. I.; Osman, Hamid; Bradley, D. A.; Ajaj, R.; Arifin, Zaenal; Sani, S. F. Abdul (2026). Unveiling The Dosimetric Potential of Natural Malaysian Zeolite Powder: a Comprehensive Thermoluminescent Study. Radiation Physics and Chemistry


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