Thomas S Huang
CAS Professor of Electrical & Computer Engineering
Professor Huang has made fundamental and seminal contributions to a number of areas in the broad field of multidimensional signal processing, analysis, synthesis, visualization, and understanding. His result on the stability of two-dimensional digital filters is included in all textbooks on multidimensional signal processing and is known as the Huang’s Theorem. His pioneering work on the compression of two-tone and continuous-tone images laid the groundwork for international image-compression standards.
More recently he and his students have initiated the use of Relevance Feedback in querying image and video databases and have spearheaded the fusion of audio and visual information in human-computer interaction. Current research projects include visual face-tracking for emotion recognition and the use of machine-learning techniques in video analysis for surveillance application.
He is a member of the National Academy of Engineering; foreign member, Chinese Academy of Engineering and Chinese Academy of Sciences; and fellow, Institute of Electrical and Electronic Engineers, The Optical Society of America, SPIE: The International Optical Society, and International Association for Pattern Recognition. Several of his former students published a “Festschrift” in his honor.
Among his numerous awards are the IEEE Jack Kilby Signal Processing Medal and the King-Sun Fu Prize of the International Association for Pattern Recognition. He is currently the William L. Everitt Distinguished Professor of Electrical and Computer Engineering, Research Professor at the Coordinated Science Laboratory, and cochair of the Human Computer Intelligent Interaction major research theme of the Beckman Institute for Advanced Science and Technology.