Holds 5 U.S. patents for technology development in computer science and engineering and biomedical applications.
Research Experience
Prof. Danny Chen has developed numerous efficient algorithms for solving geometric, graph-theoretical, combinatorial, and application problems, and has published more than 330 journal papers, conference papers, and book chapters in these areas.
Education
B.S. in Computer Science and Mathematics from the University of San Francisco, 1985; M.S. in Computer Science from Purdue University, 1988; Ph.D. in Computer Science from Purdue University, 1992.
Background
Main research interests are in the areas of algorithm design, analysis, and implementation, computational geometry, computational biomedicine, biomedical imaging, machine learning, data mining, parallel and distributed computing, and VLSI design.