CCCN 2024-Keynote

Prof. Lei Meng, Shandong University, China

Lei Meng is Professor with the School of Software, Shandong University. He received the B.Eng.’s degree in 2010 from Shandong University, China, and obtained the PhD’s degree in 2015 from Nanyang Technological University. From 2015 to 2020, he worked successively at Nanyang Technological University and National University of Singapore as Research Fellow and Senior Research Fellow. His research interests include multimedia computing, deep learning, and its applications in healthcare and digital twin for social governance. He has published a book with Springer and fifty conference and journal papers at top and renowned venues, such as MM, AAAI, TKDE and TNNLS. He serves as the Associate Editor of Applied Soft Computing, and the (senior) program committee member of top-tier conferences, such as MM, AAAI, IJCAI, and SIGIR.

Prof. Xiaoli Li, IEEE Fellow, Institute for Infocomm Research (I2R), A*STAR, Singapore

Dr. Li Xiaoli is the Department Head and Principal Scientist of the Machine Intellection (MI) department at the Institute for Infocomm Research (I2R), A*STAR, Singapore. He also holds adjunct full professor position at School of Computer Science and Engineering, Nanyang Technological University. He has been a member of ITSC (Information Technology Standards Committee) from ESG Singapore since 2020 and has served as joint lab directors with a few major industry partners.
His research interests include AI, data mining, machine learning, and bioinformatics. He has been serving as the Chair of many leading AI/data mining/machine learning related conferences & workshops (including KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM). He currently serves as editor-in-chief of Annual Review of Artificial Intelligence, and associate editor of Machine Learning with Applications (Elsevier).
He led his team to win various top AI and data analytics international benchmark competitions and works closely with government agencies and industry partners across different verticals, e.g., bank and insurance, healthcare, aerospace, telecom, audit firm, transportation etc, to create social and economic impact.
Dr Li has published more than 270 peer-reviewed papers in top AI, Data Mining, Machine Learning and Bioinformatics conferences and journals with more than 13,000 citations (more than 2,000 annual citations in recent years; H-index 53) and won eight best paper awards.

Dr. Kok Chiang Liang, Newcastle Australia Institute of Higher Education, Singapore

In 2010, Chiang Liang received his 1st Class Honours in Bachelor of Electrical & Electronic Engineering at Nanyang Technological University (NTU). Furthermore, he received the prestigious Singapore Economic Development Board (EDB) Integrated Circuit Design PhD Scholarship to pursue his Doctor of Philosophy (PhD) at Nanyang Technological University (NTU). In 2014, he was awarded his PhD Degree in Electrical & Electronic Engineering from NTU. His research thesis mainly focuses on power management unit (PMU) for smartphone applications, artificial intelligence sensors, robotics and energy harvesting applications. During his PhD studies, he published numerous widely recognised journals and conference papers. Furthermore, he was invited to be the undergraduate tutor for analogue and integrated courses at NTU and also the teaching assistant for the prestigious NTU-TUM Master Degree program for 4 consecutive years from 2010 to 2014.
In 2014, he joined Mindef DSO National Lab as a senior member of the technical staff and implemented many projects on power management and crypto-electronics design. Furthermore, he was invited to be the Adjunct Teaching Professor for Electronic courses in the Singapore University of Social Science (SUSS) from 2016 to 2022. In 2021, he was awarded the prestigious Gold medal award for Teaching Excellence at SUSS. From 2020 till date, he joined Newcastle Australia Institute of Higher Education (formerly known as UON Singapore) as a lecturer and program coordinator for the Bachelor of Electrical and Electronic Engineering (BEEE).
In May 2021, he was exclusively invited and interviewed by Channel News Asia (CNA) Money Mind programme on blockchain technology and greener solutions for energy harvesting techniques. In Nov 2021, he published a paper and was awarded the Best Paper award at the 4th International Conference on Environmental Science and Applications (ICESA 2021).