• 2027 The 2nd International Conference on Smart Education and Data Mining

Keynote Speakers

Prof. Rustam Shadiev, BCS Fellow, IEEE Senior Member, ACM Member, Zhejiang University, China

 

Rustam Shadiev is a tenured Professor at the College of Education, Zhejiang University, China. He received his Ph.D. in network learning technology from National Central University, Taiwan, in 2012. His research focuses on advanced learning technologies for language learning and cross-cultural education, including speech-to-text recognition technology, mobile-assisted learning, virtual reality, and multimedia learning systems. Prof. Shadiev is a Fellow of the British Computer Society (BCS), a Senior Member of IEEE, and a member of ACM. He was awarded the title of Distinguished Professor of Jiangsu Province in 2019, and has been recognized as one of the most cited Chinese researchers in education by Elsevier and Scopus from 2020 to 2023. He serves on the editorial boards of several journals, including Journal of Educational Technology & Society and Journal of Computer Assisted Learning.

 

 

Prof. Wu-Yuin Hwang, National Dong-Hwa University, China

 

Prof. Wu-Yuin Hwang is a Professor in the Department of Computer Science and Information Engineering and currently serves as Dean of the College of Science and Engineering at National Dong-Hwa University, Taiwan, China. He also holds a joint appointment as Distinguished Professor at the Graduate Institute of Network Learning Technology, National Central University.

 

He received his Ph.D. in Computer Science from National Tsing Hua University in 1997. His research focuses on AI applications in education, multimedia human-computer interaction, smart learning, and technology-enhanced language learning.

 

Prof. Hwang has published over 150 high-quality SSCI/SCI journal papers in educational technology. He was ranked among the world's top seven scholars in instructional design and technology based on SSCI publication performance from 2007 to 2017. In the field of technology-enhanced language learning, he ranked first in publication quantity, H-index, and impact factor in the Computer Assisted Language Learning journal from 2008 to 2019. He has been listed in Stanford/Elsevier's Top 2% Scientists globally for 2023 and 2024. His honors include the 2005 Ta-You Wu Memorial Award and the 2021 Outstanding Research Award from Taiwan's Ministry of Science and Technology.

 

 

Prof. Kelum Gamage, IEEE Senior Member, University of Glasgow, UK

 

Kelum Gamage is a Full Professor in the James Watt School of Engineering at the University of Glasgow, UK. He received his Ph.D. in Nuclear Engineering from Lancaster University in 2011. He is a Senior Member of IEEE (SMIEEE), a Principal Fellow of the Higher Education Academy (PFHEA), a Fellow of the IET (FIET), and a Chartered Engineer (CEng). Prof. Gamage is the Co-Director of the Centre for Educational Development and Innovation and the Learning and Teaching Enhancement Officer for the College of Science and Engineering. He was a winner of the University of Glasgow Teaching Excellence Individual Award (2020/21). His research spans engineering education, sustainability in higher education, and online/hybrid learning, with recent publications on micro-credentials and student engagement in remote learning environments. He also holds a Visiting Professorship at Sri Lanka Technological Campus.