Keynote
& Invited Speakers Keynote Speakers
Keynote Speaker I
Prof. Qing Li (IEEE Fellow)
The Hong Kong Polytechnic University, Hong Kong, China
Bio: Qing Li received the B.Eng. degree in computer science from the Hunan University (Changsha), China, and the M.Sc. and Ph.D. degrees in computer science from the University of Southern California (Los Angeles), USA. He is a Chair Professor and the Head of Department of Computing, the Hong Kong Polytechnic University. His current research interests include multimodal data mining and management, conceptual data modeling, social media computing, Web services, and e-learning systems. He has authored/co-authored over 480 publications in the above areas. Prof. Li is also actively involved in the research community and has served as an associate editor of several technical journals, including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), the ACM Transactions on Internet Technology (TOIT), Data Science and Engineering, and World Wide Web, in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He is a fellow of IEEE, AAIA, and IEE/IET, in addition to being a distinguished member of CCF (China). He has sat/been sitting in the Steering Committees of ACM RecSys, IEEE U-MEDIA, DASFAA, WISE, FFD, and ICWL.
Keynote Speaker II
Prof. Nikola Kasabov (IEEE Fellow)
Auckland University of Technology, New Zealand
Bio: Professor Nikola Kasabov is Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. He is also George Moore Chair Professor of Data Analytics at the University of Ulster UK, Honorary Professor at the Teesside University UK and the University of Auckland NZ, Visiting Professor at the Bulgarian Academy of Sciences. Kasabov is Past President of the Asia Pacific Neural Network Society (APNNS) and the International Neural Network Society (INNS). He has been a chair and a member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, EIC of Springer Series of Bio-and Neuro-systems and co-EIC of the Springer journal Evolving Systems. He is Associate Editor of several journals, including Neural Networks, IEEE TrNN, Tr CDS, Information Sciences, Applied Soft Computing. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 680 publications, highly cited internationally. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University and CASIA China; Visiting Professor at ETH/University of Zurich and Robert Gordon University UK; Visiting Scholar at University of Dalian, China. Kasabov has received a number of awards, among them: Doctor Honoris Causafrom Obuda University, Budapest; INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award for 2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorary Member of the Bulgarian, the Greek and the Scottish Societies for Computer Science (https://academics.aut.ac.nz/nkasabov).
Invited Speaker I
Assoc. Prof. Dr. Abdul Halim bin
Masnan
Universiti Pendidikan Sultan Idris, Malaysia
Bio: Assoc. Prof. Dr. Abdul Halim bin Masnan is an Associate Professor at the Faculty of Human Development, Universiti Pendidikan Sultan Idris (UPSI), Malaysia, where he also serves as the Deputy Dean (Student Affairs and Alumni). He holds a PhD in Early Childhood Education and has extensive experience in educational research, curriculum development, and instructional design. His research interests include early childhood education, teacher professional development, pedagogical innovation, and digital technology integration in early learning environments. Dr. Abdul Halim has authored and co-authored over 100 academic papers, book chapters, and proceedings indexed in major scientific databases, including Scopus and Web of Science.
Current Administrative Role: Deputy Dean (Student Affairs & Alumni), Faculty of Human Development, Universiti Pendidikan Sultan Idris
Speech Title: Development of the Interactive Learning Digital (ILeD) Model for Early Childhood Entrepreneurship Education
Speech Abstract:
This study discusses the development of the Interactive
Learning Digital (ILeD) application, specifically
designed to empower entrepreneurship education at the
preschool level. The primary challenge faced by
contemporary educators is the lack of interactive
teaching materials that align with digital technological
advancements. This study is based on the ADDIE
Instructional Design Model, involving three main phases:
Needs Analysis, Design and Development, and Evaluation
of Effectiveness. In Phase 1, the requirements were
identified through a literature review and a survey
conducted among 80 kindergarten teachers. Phase 2
focused on the development of the ILeD storyboard and
content validation using the Delphi technique. Phase 3
evaluated the effectiveness of the application using a
quasi-experimental design. The results indicate that the
ILeD application has high validity and is highly
practical for classroom use to enhance children's
financial literacy and entrepreneurial values. The
implications highlight ILeD as an innovative digital
approach that effectively supports teachers’
professional development.
Ms.
Jassica Yao