Robert M. Patton, Ph.D.



Dr. Patton received his PhD in Computer Engineering with emphasis on Software Engineering from the University of Central Florida in 2002.  He joined the Computational Data Analytics group at Oak Ridge National Laboratory (ORNL) in 2003.  His research at ORNL has focused on nature-inspired analytic techniques to enable knowledge discovery from large and complex data sets, and has resulted in approximately 30 publications pertaining to nature-inspired analytics and 3 patent applications.   He has developed several software tools for the purposes of data mining, text analyses, temporal analyses, and data fusion, and has developed a genetic algorithm to implement maximum variation sampling approach that identifies unique characteristics within large data sets.  

He has participated as a researcher for the Data Analytics for Medicine using Semi-Supervised Learning (DAMSEL) project at ORNL.  For that project, he participated in the research and development of text analysis techniques based on maximum variation sampling implemented as a genetic algorithm and techniques for longitudinal patient record analysis based on wavelets and has successfully applied them to patient records in mammography and abdominal aortic aneurysms.  He has published this work in several conferences, workshops, and book chapters.  His techniques have enabled the automated analysis of unique patient characteristics that show correlation to patient outcomes as well as longitudinal analysis of patient records that help identify precursor words and phrases.  

Dr. Patton was a member of the 2007 ORNL team that won an R&D 100 Award, widely recognized as the "Oscars of Innovation", for a text analysis software tool called Piranha.  Since the award, Dr. Patton has successfully used Piranha to analyze electronic health records to identify unique patient characteristics and trends in patient populations.  

Dr. Patton has also mentored several high school, undergraduate, and graduate students on projects involving data analytics in domains ranging from health care to cyber security.  Dr. Patton is a member of the Institute of Electrical and Electronics Engineers (IEEE) as well as the IEEE Computational Intelligence Society.  He is also an active member of the Association for Computing Machinery (ACM) as well as the ACM Special Interest Group for Genetic and Evolutionary Computation (SIGEVO) and also the ACM Special Interest Group on Health Informatics (SIGHIT).  He has also served on the program committee for the First ACM International Health Informatics Symposium (IHI 2010), and in 2010 and 2011, has served on the organizing committee for the Genetic and Evolutionary Computation Conference (GECCO) Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC).

Phone:  1 - 865 - 576 - 3832

Email:    PattonRM @

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