Tutut Herawan is an associate professor at the Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya. He is also a research fellow at the Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) of UiTM Shah Alam, Malaysia. He was named in the Top 2% World Scientists Ranking by Stanford University and Elsevier BV, since 2019-present and his mathematics Erdos number is 4. He is also named in the most prolific DBLP-computer science authors and one of the best computer scientists from Malaysia according to https://research.com/. He received a PhD degree in information technology from Universiti Tun Hussein Onn Malaysia in 2010. He was a visiting researcher at Parallel and Distributed Computing Research Lab of Deakin University, Australia. He has more than 18 years experiences as academic staff and has supervised many Master & PhD students. He has also examined many Master & PhD Theses from Malaysia, Indonesia, India, and China. He is the associate editor of Springer Nature Computer Science Journal (Scopus), editor of International Journal of Knowledge and Systems Science, IGI Global (Scopus), and editor-advisory board member of the book series “Information Systems Engineering and Management / ISEM” of Springer Nature. He has edited many Springer-series books and published more than 330 articles in various book chapters, international journals, and conference proceedings (with Scopus h-index 36 and ISI WoS h-index 29). He is a reviewer for international journals including top reputable journals e.g., Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems, Information Sciences, IEEE Access, and many more. He delivered more than 50 keynote addresses, invited workshop and seminars, and has been actively served as a chair, co-chair, program committee member and co-organizer for numerous international conferences/workshops. He is the general chair of the 8th Asian Conference in Pattern Recognition /ACPR-2025, which will be held in Bali, Indonesia. His research area includes data science and big data, data engineering and information systems, soft computing and data mining, and information technology for tourism.