Prof. Xiangjian He is Associate Dean of the School of Computer Science, Director of the Computer Vision and Intelligent Sensing Laboratory, and a leading academic and Chair Professor at the University of Nottingham Ningbo China. He is a nationally recognized talent and has been included in both the career-long and annual editions of the World's Top 2% Scientists list jointly released by Stanford University and Elsevier. From 2011 to 2022, he was Professor of Computer Science and Head of the Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC), University of Technology Sydney (UTS). He was also a member of the IEEE Signal Processing Society Student Committee. In 2018, his team received the UTS Chancellor's Award for Research Excellence through Collaboration. He was also awarded the title of Internationally Registered Technology Specialist by the International Technology Institute (ITI). His research focuses on computer vision, data analytics, and machine learning, particularly deep learning-based object detection, human behavior recognition, and biomedical applications. He has published extensively in leading journals, including npj Digital Medicine and ACM Computing Surveys, and at major international conferences such as CVPR, ICCV, and AAAI. He has also served as a chair at various international conferences and held editorial positions for several scholarly journals. He currently serves as an Associate Editor of journals including IEEE Transactions on Multimedia.

Prof. Hongying Meng is a full Professor in the Department of Engineering at Brunel University London. He has published over 200 academic papers, with more than 9,000 citations and a Google Scholar h-index of 42. He developed two emotion recognition systems that received awards at the AVEC 2011 and AVEC 2013 international challenges. He became a Senior Member of IEEE in 2017 and has served as an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Cognitive and Developmental Systems (TCDS), and IET Digital Twins and Applications. In 2022, he was named among the AI 2000 Most Influential Scholars by AMiner. He was included in Stanford University and Elsevier's World's Top 2% Scientists annual list in 2023, 2024, and 2025, and was recognized as one of the world's leading scientists by Research.com in 2025. His research interests include signal processing, computer vision, affective computing, artificial intelligence, neuromorphic computing, and the Internet of Things (IoT).