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 Computer Science with a specialization 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.

Dr. Hairul Hasnan is a distinguished educator and accomplished music professional, holding a doctorate degree in Music and a master's degree in Music Production from the University of York, a prestigious institution in the UK. His academic journey began with a Bachelor's degree in Physics with Electronics, before he pursued his passion for music with a subsequent Bachelor's degree in Music. With a diverse background, Dr. Hasnan embarked on a rich career path, starting as a full-time musician at Radio Televisyen Malaysia, Malaysia's national broadcasting station. During his tenure, he actively participated in numerous recording sessions in studios and delivered captivating live performances with the RTM combo. As a seasoned music producer, Dr. Hasnan boasts an impressive portfolio of studio recordings, including the recent release of a 10-song album for Reening Lau, generously funded by Cendana (Cultural Economy Development Agency, Malaysia). He has also lent his production expertise to the debut EP of TitikDinginDamai titled "Belumkata", both of which are available for streaming on various digital platforms. His proficiency lies in pop and rock music, with a specialization in drums for both recording and live performances. Presently, Dr. Hasnan is deeply involved in the Malaysian indie scene, nurturing emerging talents such as We Are Avalanche and Laras dari Rasian. Beyond his creative endeavors, Dr. Hasnan actively engages in professional development initiatives. He has conducted numerous music production workshops, including sessions at Lembaga Kebudayaan Sabah, Radio Televisyen Malaysia, and several private companies. Additionally, he serves as the Secretary for the Audio Engineering Society (AES) Malaysia. Dr. Hasnan's contributions extend to scholarly pursuits as well. He authored the first Malay-language book on music production, titled "Asas Rakaman dan Produksi Muzik", a pioneering work in the field. Furthermore, his research on Nonlinear Mixing Systems, conducted during his tenure at the University of York, was presented at prestigious events such as the AES Convention 2019 in Dublin and the Art of Recording Conference at Berklee College of Music. Currently, Dr. Hasnan serves as a Senior Lecturer, imparting his expertise in audio engineering and music production at the esteemed University Malaya.

Associate Professor Ir. Dr. TING Hua Nong obtained his Bachelor, Master and PhD degree from University of Technology Malaysia, Malaysia. He is a Chartered Engineer of Engineering Council, UK and a member of the Institute of Engineering and Technology (IET). He is a Professional Engineer (Ir) with the Board of Engineers Malaysia. He is currently an Associate Professor at the Department of Biomedical Engineering, Faculty of Engineering, University of Malaya. He is a Visiting Professor at Jining Medical University, Shandong Province, China. He has active research collaboration with Shanghai Jiao Tong University, Southeast University and Jining Medical University. His research expertise and areas of research are speech analysis and processing and recognition, image processing and recognition, Artificial Intelligence, deep learning, and dielectric measurement with specific AI application in cancer research, cardiovascular diseases and respiratory diseases. He has completed supervision of 7 PhD students, 3 Master students by research and 19 Master students by coursework. Currently, he is supervising 8 PhD students and 4 Master students. He has published more than 30 ISI-indexed and Scopus-indexed journal articles and 30 conference proceedings. His articles appear in high impact factor journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Computer Methods and Programs in Biomedicine, Biomedical Signal Processing and Control, IEEE Access, Journal of Cancer and Journal of Voice. He has obtained several internal research grants of University of Malaya such as Short-Term Grant (PGP), University of Malaya Research Grant (UMRG), Research University (RU) grant and external research grants such as Science fund, UKM internal grant with a total of more than RM 1.35 million. He was involved as the technical programme committee and organizing committee in more than 25 national and international conferences. He has been an invited speaker for a few international conferences in China and Taiwan. He was actively involved as reviewer for more than 15 journals and 110 conferences, internal and external research grant proposals and postgraduate theses. He was a member of the Publicity Committee for International Federation for Medical and Biological Engineering (IFMBE) in 2018-2022. He was member of the Asia Pacific Working Group, IFMBE in 2015-2018. He was a recipient of the IFBME Asia Pacific Research Networking Fellowship in 2012. Currently, he is collaborating with academicians from Shanghai Jiao Tong University, Southeast University, Guangxi Medical University, Chinese University of Hong Kong, Shenzhen and Swinburne University of Technology, Australia.