Keynote Speakers

 

Prof.Qing Li (IEEE Fellow)

The Hong Kong Polytechnic University, China

Qing Li is a Chair Professor and Head of the Department of Computing, the Hong Kong Polytechnic University. He received his B.Eng. from Hunan University (Changsha), and M.Sc. and Ph.D. degrees from the University of Southern California (Los Angeles), all in computer science. His research interests include multi-modal data management, conceptual data modeling, social media, Web services, and e-learning systems. He has authored/co-authored over 500 publications in these areas, with over 48,300 citations and H-index of 90 (source: Google Scholars). He is actively involved in the research community and has served as Editor-in-Chief of Computer & Education: X Realitty (CEXR) by Elsevier, associate editor of IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Internet Technology (TOIT), Data Science and Engineering (DSE), and World Wide Web (WWW) Journal, in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He also sits/sat in the Steering Committees of DASFAA, ER, ACM RecSys, IEEE U-MEDIA, and ICWL. Prof. Li is a Fellow of IEEE and IET.

 Topic: KCUBE: A KG-based University Curriculum Framework for Student Advising and Career Planning

 Abstract: Knowledge representations and interactions are at the forefront of teaching, learning, and career planning activities in all endeavors of education and career development. University students are increasingly faced with a myriad of interdisciplinary topics that are seemingly unrelated when unstructured knowledge representations are presented, especially during advising and career orientation sessions. This is especially challenging in fast-changing technical domains such as Computer and Data Science where university curricula are reviewed on an annual basis. This makes it increasingly difficult for instructors and administrators to present both the big picture as well as the detailed knowledge components of degree programs to students who face problems in choosing a career and/or establishing a plan of study and assessment. In this talk, I shall introduce the KCUBE project, a knowledge graph (KG) framework equipped with virtual reality for structuring and presenting both the overviews of the Computer Science curriculum taught at the Department of Computing in the Hong Kong Polytechnic University, as well as for students to develop their study with the help of virual tutor/mentor. We employ computational information storage and retrieval methods, machine learning, and interactive virtual reality to facilitate users (instructors and students) to better understand, manipulate, and visualize abstract concepts and relationships in the development of teaching and learning activities in our department.

Prof. Mario Barajas

University of Barcelona, Spain

Mario Barajas Frutos is a Doctor in Education from the University of Barcelona and Master’s Degree in Educational Technology from San Francisco State University in the USA. He holds degrees in Engineering and in Philosophy and previously taught Mathematics in secondary education. He teaches about Digital Learning Environments, and in the doctoral program ‘Education and Society’ at the Faculty of Education of the University of Barcelona. He is a founder of the new Institute of Educational Research of the same University. He is a member of different Research Committees, Journals and Conferences at an international level. During the last two decades, Dr. Barajas has coordinated and participated in a large number of the European Union funded projects and leads the research group Future Learning