Prof. Dr. Andry Alamsyah
2025 International conference on AI-Driven Business Transformation and Data Science Innovation
Keynote Speakers
| Prof. Li Qing (Fellow IEEE)The Hong Kong Polytechnic University, Hongkong, ChinaQing Li is currently a Chair Professor (Data Science) and the Head of the Department of Computing, the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC), and a Professor at City University of Hong Kong where he worked in the Department of Computer Science from 1998 to 2018. Prior to these, he has also taught at the Hong Kong University of Science and Technology and the Australian National University (Canberra, Australia). Prof. Li served as a consultant to Microsoft Research Asia (Beijing, China), Motorola Global Computing and Telecommunications Division (Tianjin Regional Operations Center), and the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has been an Adjunct Professor of the University of Science and Technology of China (USTC) and the Wuhan University, and a Guest Professor of the Hunan University (Changsha, China) where he got his BEng. degree from the Department of Computer Science in 1982. He is also a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China) -- the leading university of the Zhejiang province where he was born. |
Prof. Dr. Ir. Lailil MuflikhahUniversitas Brawijaya, IndonesiaProf. Dr. Ir. Lailil Muflikhah, S.Kom., M.Sc. is a Professor of Machine Learning at the Faculty of Computer Science, Universitas Brawijaya, Indonesia. She earned her bachelor’s degree in Informatics from Institut Teknologi Sepuluh Nopember (ITS), a master’s degree in Computer and Information Systems from Universiti Teknologi Petronas, Malaysia, and a doctorate in Bioinformatics from Universitas Brawijaya. Her research interests center on Artificial Intelligence in healthcare, with a focus on biomedical informatics, bioinformatics, and medical imaging. She has led numerous funded projects on disease detection and biomarker identification using machine learning and deep learning methods, covering areas such as dengue shock syndrome, Alzheimer’s disease, lung cancer, hypertension risk, and liver cancer. She has published extensively in international journals, authored several academic books on data mining, artificial intelligence, and bioinformatics, and holds multiple intellectual property rights in AI-based healthcare applications. |  |
 | Telkom University, IndonesiaSeorang dosen berpengalaman dengan keahlian dalam Big Data & Data Analytics, Ekonomi Digital, dan Blockchain. Beliau memiliki latar belakang yang kuat dalam penelitian dan aplikasi praktis di bidang-bidang ini, yang membuatnya menjadi salah satu peneliti terpercaya di RC DBE. Beliau dikenal karena dedikasinya dalam mengajar dan kemampuannya mengintegrasikan teori dengan praktik nyata, mempersiapkan mahasiswa untuk sukses dalam dunia teknologi yang terus berkembang. Komitmennya terhadap pendidikan dan inovasi telah memberikan dampak signifikan dalam komunitas akademis dan industri. |