Associate Professor Dr. Ng Lee Luan obtained her PhD in Applied Linguistic from University of Otago, New Zealand. She teaches postgraduate courses related to research methodology and second language acquisition at the Faculty of Languages and Linguistics. Her current research interest includes computer assisted language learning, online learning, game based learning and the use of computer automated feedback and AI generated output as a tool or aid in academic context, especially in higher education . She is also a certified trainer for the software, NVivo. She has been invited to conduct workshops related to qualitative data analysis and using computer assisted qualitive data analysis software in deciphering research data at various public and private universities locally and abroad. She has also participated in research projects with a interdisciplinary focus. Lee Luan has also been invited to review journal articles for overseas and local  publication such as Frontiers in Psychology - Language Sciences, Pertanika Journal, Malaysian Journal of ELT Research, The Malaysian Journal of Learning and Instruction.

A passionate and committed senior lecturer with a Ph.D. in Polymer Chemistry, I possess a keen interest in Material Science, particularly focusing on the development and implementation of polymer electrolytes in innovative technologies like dye-sensitized solar cells (DSSCs) and supercapacitors. I have authored a significant article titled 'From Crab Shell to Solar Cell: A Gel Polymer Electrolyte Based on N-Phthaloylchitosan and Its Application in Dye-Sensitized Solar Cells,' showcasing my expertise in the field. Additionally, I am deeply interested in the field of waste management, particularly exploring sustainable solutions for recycling and waste reduction. Drawing inspiration from the timeless wisdom of Jabir Ibn-Hayan, renowned as 'The Chemist,' I firmly uphold the value of practical work and experimentation as the cornerstone for attaining mastery in chemistry.

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.