Prof. Milos Manic, Virginia Commonwealth University, USA
Professor Milos Manic is performing research and teaching in area of artificial intelligence applied to energy, human- machine interfacing, cyber security, and intelligent control systems. He is a Professor with Computer Science Department and Director of Modern Heuristics Research Group at Virginia Commonwealth University. He has over 20 years of academic and industrial experience. Prof. Manic is an IEEE Industrial Electronics Society (IES) Officer and is a member of various standing and technical committees and boards of this Society. He has authored or co-authored over 140 peer-reviewed publications - 11 book chapters, 26 journals (17 in journals with Impact Factor (IF) >6.0), 6 IEEE Transactions Editorials, and over 120 conference papers. Professor Associate Editor of IEEE Transactions on Industrial Electronics and IEEE Transactions on Industrial Informatics.
Dr. Hui Yu, University of Portsmouth, the United Kingdom
Hui Yu is a Reader with University of Portsmouth. His main research interest lies in visual computing and big data analysis, particularly in understanding and sensing the visual world human related issues with semantic interpretation. It involves and develops knowledge and technologies in vision, machine learning, virtual reality, brain-computer interaction and robotics. Dr. Yu's research work has led to many awards and successful collaboration with worldwide institutions and industries. He has done many projects supported by EPSRC, ESRC, Royal Academy of Engineering, EU-FP7 and industries. He has extensive contributions to the international research community with organizing and chairing many international research conferences and summer schools. He is also Associated Editor of IEEE Transactions on Human-Machine Systems journal and Neurocomputing journal.
Wild Facial Data Processing and Virtual Reality Application
Abstract: Human related analysis has been an active research field for its wide applications. With the advancement in sensing system and computing technologies, many methods have been explored for human motion analysis in the wild, especially human action, facial and gaze analysis. Although the majority of this research has been conducted on 2D images, there are a significantly increasing demands for static and dynamic 3D analysis due to the improved performance on capturing the various visual cues. In this talk we will address the recent techniques in 2D/3D sensing systems, recognition and virtual reality application development. And the challenges of this research field will also be addressed.