David Siu-yeung Cho

Biography

Dr. David Siu-Yeung CHO is an Associate Professor in Electrical and Electronic Engineering, Division of Engineering at The University of Nottingham Ningbo, China since Sept. 2011. He was an Assistant Professor in the School of Computer Engineering at Nanyang Technological University (NTU). Concurrently, he was the Director of Forensics and Security Laboratory (ForSe Lab) in the same school. In his tenure of directorship, he involves to create and organize the lab dedicated to research in the application of computational techniques to biometrics and forensics analysis. He is the co-inventor of the neural color reflectance model to tackle the multi-coloured shape from shading problem in which he has published several papers in the premium international journals. Dr. Cho earned his PhD from the City University of Hong Kong in 1999. His research topic was to develop an effective neural network learning algorithms in applying to the 3D shape reconstruction. He has published one monograph book, five book chapters, and over 50 technical papers in which more than 20 papers are in the top-notch international journals (IEEE Trans. Neural Network, IEEE Trans. Knowledge & Data Engineering, Neural Computation, Pattern Recognition,… etc). Dr. Cho received numerous research grants as a principal investigator, funded by Singapore Ministry of Education, Institute for Infocomm Research and NTU in Singapore. He also jointly received a highly competitive grant from Hong Kong Research Grant Council for fundable research project (~US$40,000) as a co-investigator in 2003. He works extensively in the area of computational intelligence, pattern recognition and computer vision. The recent publication indicates the active contributions in the areas of computational intelligences, image analysis, and computer vision. The long-term research plan is to establish a research programme that making use of computational techniques to solve out the real-life problems in different areas, such as, healthcare, education, homeland security and even social sciences.

Research Interest

Foundations and applications of computational intelligence, pattern recognition and signal processing, in particular: - Neural Networks and its applications – neural reflectance model for 3D shape reconstruction; recursive neural network for adaptive processing of structural patterns. - Cognitive System – Self-organizing human visual cortex model and applications in object/face recognition; Assistive technology for Alzheimer’s Disease and Autism. - Pattern Recognition – robust face recognition, scene recognition and understanding, biometric and security technologies. - Biomedical applications – Laser Speckle Contrast Imaging, functional MRI, EEG analysis for Alzheimer’s Disease and Autism.