Siti Aishah is a language lecturer at the Department of English Language, Faculty of Languages and Linguistics, Universiti Malaya. She has more than a yearlong experience as an educator in the English language field, supported with a Master’s degree in English Language Studies (MELS) and a Bachelor’s degree of Arts English from the prestigious Universiti Malaya. Her master’s research focused on how teaching presence, cognitive presence and social presence affect ESL learners' learning of English Language in online environment. Concurrently, she is undergoing a scholarly publication journey centralising on Online Language Learning. Her expertise involves teaching courses related to English language proficiency and Applied Linguistics. Her research interests include online learning, computer assisted language learning, and the use of AI in academic context. 

Dr. Wong Won Fen is a faculty member at the Department of Medical Microbiology, Universiti Malaya, where she has served since 2012. She is an accomplished immunologist whose research focuses on host–pathogen interactions, immune regulation, and inflammation, particularly the immunopathogenesis of sexually transmitted infections. Her work seeks to elucidate immune dynamics and develop strategies to improve disease prognosis while advancing vaccine design and immunotherapeutic interventions. Dr. Wong received her early scientific training at Tohoku University, Japan, and has since published 112 peer-reviewed articles, achieving an h-index of 37 with over 5,700 citations. Her research excellence has been recognized through several international honours, including the Japan Society for the Promotion of Science (JSPS) Fellowship, the Fulbright Fellowship, and the Institut Mérieux Young Investigator Award. At Universiti Malaya, Dr. Wong serves as the Faculty Ph.D. Programme Coordinator and a member of the Faculty Postgraduate Committee (JKIT). She also coordinates courses in Immunology and Advanced Medical Microbiology and contributes to institutional quality initiatives as a Quality Management System (QMS) committee member and internal auditor.

Dr. Saw is an AI researcher specializing in healthcare applications, with a keen interest in leveraging machine learning and bioinformatics to improve disease detection and management. She earned her Bachelor’s degree from Universiti Malaya in 2013, followed by the President’s Graduate Fellowship from the National University of Singapore (NUS) in 2015, which supported her doctoral research in artificial intelligence-driven healthcare solutions. Following her Ph.D., Dr. Saw worked as a Research Scientist at the Bioinformatics Institute, Agency for Science, Technology and Research (BII, A*STAR), Singapore, under the mentorship of Dr. Hwee Kuan Lee. Her work focused on integrating AI, deep learning, and computational modeling to advance precision medicine and medical diagnostics. Dr. Saw has since returned to Universiti Malaya, where she continues to explore cutting-edge AI methodologies for healthcare applications, particularly in early disease detection, predictive modeling, and clinical decision support systems. Her research aims to bridge the gap between artificial intelligence and real-world medical challenges, developing innovative solutions that enhance patient outcomes and optimize healthcare delivery.