She is the distinguished recipient of the highly prestigious Anugerah Tokoh Akademik Bahasa Melayu 2024, a remarkable honour bestowed by the Ministry of Higher Education, Malaysia. She currently holds the Sultan Ibrahim Chair of Malay Studies at Beijing Foreign Studies University in China. The first milestone of her commendable journey began when she was conferred the Anugerah Penghargaan Makalah Jurnal Terbaik in the year 2021, a notable recognition by MAPIM-KPT.With a distinguished academic background, she holds a First Class Bachelor's Degree (Malay Language Programme) from the Department of Malay Studies, Faculty of Arts and Social Sciences, University of Malaya (1989). Subsequent to her undergraduate studies, she embarked on a journey to acquire a Diploma in Education from the Faculty of Education, University of Malaya (1990) and henceforth, served as a dedicated teacher in a full-boarding school (SBP) in Kuala Lumpur. Her illustrious career as a lecturer commenced in 1996 following the completion of her master's degree and was further amplified when she was granted the Hadiah Latihan Cuti Belajar, enabling her to pursue her Ph.D in 1999. During her remarkable Ph.D journey, she was accorded an opportunity to partake in a six-month training at Leiden University, Netherlands, to learn the PRAAT software, a vital tool in her field of study at the Ph.D level, Acoustic Phonetics. Her exemplary skills in the Malay language led her to be appointed as a visiting lecturer at the Yunnan University of Nationalities, Kunming, China, and as a visiting professor at Moscow State University, Moscow, Russia. Her profound expertise in the Malay Language, Malay Studies and the Malay World has been acknowledged by the Dewan Bahasa dan Pustaka, leading her to be entrusted with roles such as Head of the Phonetics/Phonology Panel, Panel Penilai Buku Terbaik MAPIM-KPT, Penilai Buku Terbitan MAPIM, Malay Language Editor, Penilai Geran Penyelidikan Fundamental Research Grant Schemes (FRGS), and Penilai Artikel for Scopus-indexed, ESCI and MyCite journals. She was also appointed to the editorial board of two prestigious journals in Indonesia and often referred to as an expert in research instruments. She has been invited as a Keynote Speaker and Invited Speaker in Malaysia, Singapore, and Indonesia.From an administrative perspective, she has held notable positions such as Head of the Malay Language Department, Coordinator for the Academic Writing course, and Deputy Dean (Research, Value Creation, and Enterprise). Currently, she holds the esteemed position of Deputy Dean (Postgraduate Studies, Research & Innovation). She has also contributed significantly as a Course Developer for the Massive Open Online Course (MOOC), University of Malaya for the course Introduction to Malay Language. In addition, she has taken on the responsibility as the Chairperson for the APM (Akademi Pengajian Melayu/ Academy of Malay Studies) social service for Sekolah Dalam Hospital (SDH), at the University Malaya Medical Centre (UMMC).

Prof. Dr. Loo has conducted fascinating research over the 12 years in The University of Malaya, particularly in Lifelong Machine Learning, Explainable Robotics, Explainable AI and recently in Trustworth & Sustainable AI. His numerous publications on the topic have been well-received and have made a substantial contribution to the Continual Machine Intelligence.  He has published more than 200 peer-reviewed journal and conference papers on neurorobotics and machine intelligence. In high-impact journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Journal of Neural Systems, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Cybernetics, to name a few. Prof. Loo is also the recipient of JSPS fellowship award from Japan and the Georg Forster Fellowship award from the Humboldt Foundation, Germany, Belt and Road Academic Fellowship Scheme, China, and the Fulbright Fellowship from US. He has been the visiting professor of Osaka Metropolitan University, Japan, and King Mongkut's Institute of Technology Ladkrabang, Thailand and Adjunct Professor in The Harry Butler Institute, Murdoc University. He has applied the developed theory to medical diagnosis, prognosis, and brain-inspired Machine Intelligence, and the potential of his research findings has been successfully demonstrated in various domains, including digital healthcare and cognitive robotics. Chu Kiong has been recognized for his excellence in applied research that has commercial potential based on the 10 patents filed. He is one of the founders of UM spin-off company, UMCH Sdn. Bhd. specializing in AI-enabled connected healthcare solutions.   Moreover, he is honoured Malaysia’s Research Star Award 2019 - Research and Innovation Excellence Awards, from the Ministry of Education as one of the most influential researchers in Malaysia. He received the Top Research Scientist Malaysia (TRSM) award 2020 from the Academy of Science Malaysia. 

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.