Dr Marina Ng is an Associate Professor and research member of the Mixed Reality Lab (MRL) UK and Mixed Reality Hub, Malaysia. She is also the Associate Dean - Admissions, Recruitment and Marketing of the Faculty of Science & Engineering (FOSE). Her research expertise is in the field of Human-Computer Interaction (HCI), specialising in mobile, mixed reality and Internet of Things (IoT). She has been developing novel interactive technologies - merging physical and digital interactions to explore new ways of living, playing and working. She has extensive experience in conducting interdisciplinary research, employing ethnography, user-centred design, iterative prototyping and participatory design approach, and also deploying and studying them 'in the wild'.

Assoc. Prof. Tianqi Wei graduated from the School of Mechatronics Engineering at Beijing Institute of Technology in June 2013 with a Bachelor's degree. He received his Ph.D. from the School of Informatics at the University of Edinburgh, United Kingdom, in July 2019. In October 2021, he was selected for the “Hundred Talents Program” of Sun Yat-sen University as a Young Academic Core Talent, and joined the School of Artificial Intelligence as an Associate Professor and Master’s Supervisor in February 2022. The core direction of his research is brain‑inspired robotics, covering computational neuroscience, neuromorphic computing, robot learning, reinforcement learning, complex systems, soft robotics, robotic system design, Gaussian processes, and more. He serves as a Review Editor for Frontiers in Neurorobotics and a reviewer for journals and conferences such as Robotica, IROS, and IEEE RA‑L.

Assoc Prof Dr Muhammad Ehsan Rana, a 20+ year veteran at academia-industry-global edtech’s intersection, blends Software Engineering (PhD) complemented by an MSc in Mathematics, and a Master’s in Computer Science. His research focuses on Software Architecture and Emerging Technologies with over 150 peer-reviewed publications. He also serves as a reviewer for leading indexed journals and organizes conferences for IEEE and other international bodies, fostering collaboration among researchers.

Assoc. Prof. Shengyong Ding earned his PhD in Computer Applications from Sun Yat-sen University in 2015. His research focuses on the integrated innovation of computer vision and large-model technologies, targeting core challenges including pose estimation, 3D reconstruction & generation, and spatial navigation. His research portfolio covers 3D Avatar (few-shot high-fidelity human avatar reconstruction), Video3D (integration of video generation and 3D vision), as well as multi-agent content generation. Meanwhile, he has actively promoted the industrial translation of fundamental research outcomes into practical applications across multiple sectors: education (e.g., student attention monitoring and analysis), healthcare (traditional Chinese medicine inheritance, vestibular disorder treatment), and intelligent traffic inspection.