Hong Man

The objective of Dr. Man’s research is to automate the process of knowledge acquisition from a large volume of multidimensional information for high level situation awareness and decision making. His work focuses on the theory and applications of multimodal information analysis and machine learning.

He is the director of the Visual Information Environment Lab (VIEL), and his current projects include development of an acoustic scene analysis framework, a visual multi-target detection and tracking algorithm, a neural activation detection on functional MRI, and a social network based intrusion detection system. As part of an innovative solution to Intrusion Detection Systems (SN-IDS), Dr. Man’s group investigates the MAC layer traffic data to select a set of identifiable features. After identifying these sociomatrices, they apply social analysis methods to find the suspicious activities evolution from normal to abnormal behavior with respect to mobile nodes.

Dr. Man is a member of the IEEE and ACM. He served as member of organizing committee and finance chair for IEEE International Workshop on Multimedia and Signal Processing (MMSP) 2002, member of technical program committee for IEEE Vehicular Technology Conference (VTC) Fall 2003, and multimedia session chair for IEEE Int. Conf. on Information Technology: Research and Education (ITRE) 2003. He is a committee member on IEEE SPS TC for Education and also an active contributor to the ISO/ITU JPEG 2000 image coding standard.