Irwin King, Pro-Vice-Chancellor (Education) and Distinguished Professor at the Department of Computer Science & Engineering, The Chinese University of Hong Kong, has a diverse research portfolio in machine learning, social computing, artificial intelligence, and data mining. His scholarly contributions include publications in prestigious journals and editorial board memberships with international publishers. He has received numerous accolades, including Test of Time Awards at ACM CIKM, ACM SIGIR, and ACM WSDM, and the Dennis Gabor Award from INNS for his pioneering work in machine learning within social computing. As a Fellow of ACM, IEEE, AAAI, INNS, and HKIE, he has demonstrated exceptional leadership in the field. He has held significant positions, including President of the International Neural Network Society (INNS) and General Co-chair for premier international conferences like WebConf, ACML, and RecSys. He is also the Director of the ELearning Innovation and Technology (ELITE) Centre, the Trustworthy Machine Intelligent Joint Lab, and the Machine Intelligence and Social Computing (MISC) Lab. His academic journey began with a Bachelor of Science degree from Caltech, followed by a Master of Science and Doctor of Philosophy in Computer Science from the University of Southern California (USC).

Daniel Mitelpunkt is Founder and Director of Imperial College London’s Digital Media Lab (DML), established to develop interactive and time-based solutions and media for learning and research.
The lab’s work ranges from spatial computing in traditional lecture theatres to VR digital twins of teaching labs, positioning DML as the university’s interdisciplinary hub for applied media.
DML is recognised for its close alignment with evolving needs and opportunities, and for its collaborative approach—working with leading academic and professional staff across the institution in both education and research. The team brings together expertise from gaming, broadcast, and XR, creating a dynamic environment for innovation. An inspirational external advisory board further enriches the lab’s work.
Beyond Imperial, Daniel is an active advocate for Creative Technology within Higher Education, championing stronger ties between academia and the creative industries and giving this emerging field a stronger voice.

Heng Luo is Professor and Vice Dean of the Faculty of Artificial Intelligence in Education at Central China Normal University. He received his Ph.D. in Instructional Design, Development, and Evaluation from Syracuse University in 2015 and later worked as a Research Associate at Pennsylvania State University. His research integrates learning sciences, instructional design, and artificial intelligence to improve educational quality and equity. He has led research projects funded by the National Natural Science Foundation of China, the National Education Sciences Planning Program, and the Ministry of Education, and has published more than 60 papers as first or corresponding author in leading journals, including three ESI Highly Cited Papers. He serves on the editorial boards of several SSCI/SCI journals and as Program Committee Chair of CSTE 2025–2026. His honors include awards from AERA and AECT, the CNKI Highly Cited Scholar Award (Top 1%), the Special Prize of the Hubei Provincial Teaching Achievement Award, and the Guizi Young Scholar Award.