My research interests include Inspection, Metrology and Pattern Recognition Application in Anomalies Detection (a.k.a. Defect Detection, Outlier Detection), Large-scale/Big Data Analysis, Automation, Social Signal Processing, Visual Surveillance and Intelligent Transportation Systems.
Anomalies detection aims at detect the anomalies (defects, outliers) from a majority of normal groups of data such as images, signals and behaviors.
Large-scale/Big data analysis is an analysis or an examination of large amounts of data or a variety types to uncover hidden patterns, unknown correlations and other useful information.
Automation is a research field that encourages the developing of algorithms and methods to reduce human errors due to repetitive work and to reduce manufacturing costs in production while manufacturing quality control (MQC) is essential for every product made in any industry. Herein, surface defect detection on wallpaper, fabric, ceramic, metal, wood, steel, printed circuit board, aircraft window and 3D printing is essential and necessary for quality control.
Social signal processing (SSP) is a topic of increasing importance, and can potentially generate new knowledge from multi-disciplinary research (both computational and social sciences) such as detection, understanding, and interpretation of human activity. The research outcome of SSP could enhance public safety, and examine the effectiveness and usefulness of social interaction.
Visual surveillance (VS) performs tasks in object tracking, identification, analysis and interpretation. Most visual surveillance methods can deal with only single or several moving objects/humans. At present, the bottleneck of visual surveillance is in its ineffectiveness in dealing with crowded scenes, where groups interact with groups.
Intelligent transportation systems (ITS) are popular for researchers in the areas of engineering, mathematics, urban planning and social science. It involves technologies of wireless communications, computational technologies, floating car data/cellular data, sensing technology, inductive loop detection, video vehicle detection, etc. These technologies could apply to traffic behavior analysis, network analysis, data compression, emergency vehicle notification systems, variable speed limits, collision avoidance systems.
Medical imaging (MI) includes precision measurement in medical/dental images, for instance, image registration and calibration in real physical domain (tooth object) and computerized virtual domain (projected object in CBCT in the 3D imagings) for the dental implant technology.