Dr. Kok-Keng Tee obtained his PhD in molecular virology and evolutionary biology in 2009 under the mentorship of Professors Adeeba Kamarulzaman (University of Malaya, Kuala Lumpur), Yutaka Takebe (National Institute of Infectious Diseases, Tokyo), and Oliver G. Pybus (Oxford University, UK). He completed his postdoctoral fellowship at Columbia University, New York with world renowned virologists Professors Thomas Briese and W. Ian Lipkin prior returning to Kuala Lumpur and established the Pathogen Genetics & Evolution Laboratory at the University of Malaya, conducting evolutionary biology research on medically important human viruses. He is presently an Associate Professor in the Department of Medical Microbiology, Faculty of Medicine in UM and an adjunct Associate Professor at the School of Medical and Life Sciences, Sunway University in Malaysia. His research interest focuses on the genetic and evolutionary characterization of blood-borne (HIV, HCV, HBV, HPgV) and respiratory viruses (RV, MPV, CoV, PIV, EV, RSV, AdV, influenza viruses). With years of experience in pathogen surveillance, genomic technology and microbial diversity, his research team has discovered more than a dozen novel virus strains (or genotypes) circulating in the region. He also developed computational tools for phylodynamic and transmission networks that allow for regular monitoring of the spread of infectious diseases, designing evidence-based strategies for effective disease management, control and prevention. He is also involved in innovating cutting-edge diagnostic assays for rapid viral detection and studying the impact of viral diversity in disease pathogenesis. To date, he has secured nineteen research grants, both internally and externally, with a total of RM7.5 million in funding. Recently, his scientific perspectives on the COVID-19 pandemic have been regularly featured in China Press, Sin Chew Jit Poh, Nanyang Press, The Economist and Astro Awani. He has been serving as a contributing member or expert panel for several regional and international societies and research networks, including the WHO-UNAIDS Network for HIV Isolation and Characterisation, Stanford Transmitted Drug Resistance (TDR) Surveillance Working Group, International Network for the Sequencing of Respiratory Viruses (INSPIRE), International AIDS Society (IAS), TREAT Asia HIV network, and the ASEAN Research Network. Dr. Tee has published over 120 research articles in peer-reviewed indexed journals, with an h-index of 30 and over 3,300 citations. He has delivered over ten plenaries and invited lectures and presented over 60 papers in local as well as international conferences. His work has also produced six patents, copyright and utility innovation. He is currently the Section/Academic/Associate Editor for various international journals including PLoS One, ASM Science Journal, Virology Journal, Current HIV Research, and Frontiers in Microbiology. His achievements have been recognized through several national and international awards, including the Top Research Scientists Malaysia (TRSM) by the Academy of Sciences Malaysia (2022), American Society for Microbiology (ASM) Country Ambassador (2022), UM Excellence Award (Outstanding Young Researcher) (2017), 10th National Academic Award (nomination) (2016), Daiwa Adrian Prize (2010), UM Excellence Award (Outstanding PhD Student) (2009), 15th CROI Young Investigator Award (2008), and the 57th Meeting of Nobel Laureates in Physiology and Medicine, Lindau (2007). He was elected as Fellow by the Royal Society of Biology (RSB), ASEAN Academy of Engineering and Technology (AAET), Malaysian Scientific Association (MSA) and the Ministry of Higher Education in the CEO Faculty Programme 2.0 with the Malaysia Airports Holdings Berhad (MAHB).

NOR ANIZA ABDULLAH is an Associate Professor at the Faculty of Computer Science and Information Technology (FCSIT), University of Malaya, Malaysia. She graduated with Bachelor degree (Hons) in Computer Science from the University of Malaya. (UM)   She has a Master degree in Interactive Multimedia from the Westminster University, London. She obtained her PhD degree in Computer Science from the Southampton University, United Kingdom in 2006. She was the Deputy Dean of the Equitable Society Research Cluster, UM from year 2016 until 2018. She was the Deputy Dean of Undergraduate at FCSIT from 2011 until 2013. She was the Head of the Multimedia Unit of FCSIT from 1999 until 2003, and from 2007 until 2011. She was the Lead Internal Auditor to Faculty of Engineering, UM, during the university's first internal auditing exercise for MS ISO 9001:2000, in the year 2002. She was the Quality Manager for FCSIT from 2012 to 2013. She was the Chairperson for the UM Student Council Selection Audit Committee in 2012. In year 2012-2013 she led a committee to study and enhance the quality of teaching of programming courses at the faculty. She received the UM Excellence Service Awards in year 2001 and year 2013.  Her research interests include personalized learning, multimedia retrieval, multimedia recommender system, machine learning/deep learning, sentiment analysis, mobile crowdsourcing, augmented reality, image processing, and medical imaging informatics. She has authored or co-authored 58 publications in the Web of Science (WOS) with WOS h-index 10, Scopus h-index 13, and Google Scholar h-index-19. Most of her WOS journal publications are in tier-1 and tier-2. She has successfully supervised many postgraduate and undergraduate students.  Kindly visit the following links for further details on her publications: Orcid: 0000-0001-6218-8772, ResearcherID: B-2768-2010; Scopus Author ID: 26659416000

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis. I have received several grants of more than RM one million, including public, international, and private grants, and I have completed two commercial data science projects for Petronas GTD and Air Liquide. I serve as an Associate Editor for Human-Media Interaction - Frontiers in Psychology and a reviewer for several high-quality journals. I am also an Expert Advisory Panel for Master of Science (Data Science) Degree Program at UTP, Programme Advisory Panel for Bachelor of Business (Honors) in Business Analytics at TARUC, and an external assessor of Swinburne University of Technology (BS of Computer Science program). Additionally, I am an External Assessor for Programme Master Sciences (Computer and Information Engineering), IIUM, and a technical assessor of Swiss National Science Foundation. I have been teaching data mining since 2002, and have produced many highly qualified data scientists and Ph.D. graduates who have gone on to work for top companies like IBM, Amazon Web Services, and Google. As a highly respected and accomplished computer scientist, I have demonstrated exceptional dedication to the industry, and I am confident that my expertise, leadership, and vision make me a highly qualified computer scientist.