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Dr. Qiang (shawn) Cheng

Southern Illinois University Carbondale
2140 Faner Hall, 1000 Faner Drive

Brief Biography:

Qiang (Shawn) Cheng received the BS and MS degrees from Peking University, China, and the PhD degree from the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign (UIUC). During the summer of 2000, he worked at the IBM T.J. Watson Research Center, Yorktown Heights, New York. In June 2002, he joined the Electrical and Computer Engineering Department at Wayne State University, Detroit, Michigan, as an assistant professor. From May to August 2005, he was an AFOSR Faculty Fellow at the Air Force Research Laboratory, Wright-Patterson, Ohio. From August 2005 to June 2007, he was a Senior Researcher/Research Scientist at Siemens Medical Solutions, Siemens Corporate Research, Siemens Corp., Princeton, New Jersey. From August 2007, he has been an Assistant Professor at the Department of Computer Science at Southern Illinois University Carbondale. His research interests include pattern recognition, signal and image processing, machine learning theory, and their applications to medicine and healthcare. He was the recipient of various awards and privileges, including Outstanding Leadership Award, the 12th IEEE Int. Conf. Computational Science and Engineering (CSE-09) and IEEE Int. Conf. Embedded and Ubiquitous Computing (EUC-09), Vancouver, Canada, Sept. 2009, the Achievement Awards from Siemens Corp. 2006, the University Research/Enhancement Awards from Wayne State University in 2003, 2004, 2005, the Invention Achievement Award from the IBM T.J. Watson Research Center, 2001, a University Fellowship at UIUC from 1997 to 1998, a Guanghua University Fellowship at Peking University, China, from 1995 to 1996, the Antai Award for Academic Excellence from Peking University, China, 1995, and other awards and scholarships. He has a number of international (U.S., Germany and China) patents issued or filed with the IBM T.J. Watson Research Laboratory, Yorktown Heights, and Siemens Medical, Princeton, NJ.


Academic positions:

Assistant Professor, Computer Science Department, Southern Illinois University, Carbondale


Research interests:

Pattern recognition and machine learning:
* Feature extraction and selection, classification, object recognition, and robust machine learning from high-dimensional and/or large scale dataset
* Machine learning and analytics for big data and resource management in cloud computing
* Clustering/correlation clustering for large scale data, data integration and management for complex and heterogenous data
* Optimal configuration on graphs
* Pattern recognition and classification problems in biomedicine, engineering, healthcare Signal processing and image/video processing
* Efficient/optimal representation for high-dimensional data and huge amount of data for acquisition, transmission, visualization, and classification
* Image/video analysis for object recognition or tracking, including real-time tracking, and medical image analysis for diagnosis
* Multi-modal image or sensor information fusion (EM, infrared, optical, etc.).
* Information and image security and integrity
* Signal/image processing in biomedicine, engineering, healthcare Algorithms and computing for biomedical research
* Modeling, analysis, and simulation of biomedical systems
* Causal inference using structural causal models; Pattern recognition and network models for biomedicine
* Modeling and simulation of biomedical and healthcare services


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Good idea in this networked society and digital age.


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