Ryan G Benton

Dr. Ryan Benton is an Assistant Professor in the Department of Computer Science within the School of Computing (SOC) at the University of South Alabama. He is a member of the Data Science Ensemble and the Digital Forensics Information Intelligence Research Group. Prior to joining USA, Dr. Benton was a research scientist at the University of Louisiana at Lafayette (UL Lafayette). While at UL Lafayette, he served within the Informatics Research Institute (IRI) and the Center for Advanced Computer Studies (CACS); he was also a founding member of the Center for Visual and Decision Informatics (CVDI), the only National Science Foundation Industry/University Collaborative Research Center in Louisiana. Dr. Benton, while associated with UL Lafayette, also served as Director of Research for Star Software Systems Corporation from 2001 to 2005. He received his B.S. degree in Computer Information Systems (1995) from Loyola University New Orleans and his M.S. (1997) and Ph.D. (2001) in Computer Science at UL Lafayette. His research interest lies in the fields of data mining and machine learning, with a current focus upon advanced pattern mining methods, novel graph mining algorithms, and applied applications.



    • CSC 331 - Software Engineering Principles, 2015-2017
    • CSC 399 - Concurrent and Distributed Computing, 2018
    • CSC 526 - Data Mining


    • CSC 331 - Software Engineering Principles
    • CSC 626 - Advanced Big Data

Current Research



  • Scott Brown, disseration, advising
  • Robert Cox, Research Experience for Undergraduate student, mentor
  • Lowell Crook, master thesis, chair
  • Edward Harshaney, dissertation, chair
  • Blake Johns, Computing Undergradaute Research Experience student, mentor
  • Daniel Miller, disseration, member
  • Dustin Mink, disseration, member
  • Adam Minor, master thesis, member
  • Timonthy Sullivan, master thesis, member
  • Thomas Watts, disseration, chair

  • Former, Disseration, South Alabama

  • Patrick Luckett, "Nonlinear Methods For Detection And Prediction Of Epileptic Seizures", 2018, Computing, Member

  • Former, Thesis, South Alabama

  • Colby Parker, "Android Malware Detection Using Step-Size Based Mutil-Layered Vector Space Models", Computer Science, Member
  • Rafi Qumsieh, 2017, Synthesizing Additional Training Data To Increase The Classification Accuracy of Visual Data Using Feed-Forward Neural Networks on Small Datasets, Mathematics, Member
  • Jay Lewis, 2016, "Enhancements to Itemset Tree", Computer Science, Chair

  • Former, Master Project, South Alabama

  • Zachary Denton, 2017, Dynamic Action Set Mining, Computer Science, Chair
  • Mohan Vamsi Kasukurthi, 2017, OmniSearch: Ontology-based Semantic Search System for microRNA Research, Computer Science, Member

  • Former, Thesis, UL Lafayette

  • Vertie Louise Jordan, 2008, "Safety Performance of Horizontal Curves on Rural Two-Lane Highways", Civil Engineering, Member
  • Tejas Nomulwar, 2010, "Web Personalization Using Wikipedia", Computer Science, Member
  • Kaushik Das, 2010, "Investigation of Menu Properties and Pointing Techniques in a Projection-based VR Environment", Computer Science, Member
  • Long Li, 2011, "Louisiana Urban and Suburban Roadway Safety Study: Application of 1st Edition of Highway Safety Manual", Civil Engineering, Member
  • Subasish Das, 2012, "Evaluating safety improvement from edge lines on rural two-lane highways", Civil Engineering, Member

  • Former, Disseration, UL Lafayette

  • Nicholas Ruiz, 2011, "Statistical Parsing and Integration of Result Records for Answering Factual Questions", Computer Science, Member
  • Jennifer Lavergne, 2013, "An In-Memory Data Structure for Targeted Association Rule Mining in Time-Varying Domains", Computer Science, Member
  • Elshaimaa Ali, 2015, "A Framework for Building Light Weight Ontologies Based on Semi-Structured Data for Semantic Annotation", Computer Science, Member
  • Mohammad Amir Sharif, 2015, "Large-Scale, Hybrid Approaches for Recommending Web Pages Based on Content and User's Previous Click Patterns", Computer Science, Member
  • Satya Katragadda, 2016, "A Framework for Real Time Event Detection for Emergency Situations Using Social Media Streams", Computer Science, Member
  • Murali Krishna Pusala, 2018, "Link Discovery through Iterative Link Classification - Towards a Real-Time Analysis of Graph Evolution", Computer Science, Member



    • Concurrent and Distributed Computing, 11:15 - 12:05


    • Research Meeting, Prospectus: Cloud Analysis, 13:00 - 14:00
    • Office Hours, 14:00 - 17:00
    • Data Mining, 18:00 - 19:15


    • Research Meeting, Independent Studies: Machine Learning, 9:00 - 10:00
    • Research Meeting, CARFS, 10:00 - 11:00
    • Concurrent and Distributed Computing, 11:15 - 12:05
    • Office Hours, 14:00 - 17:00
    • Data Science Forum, (every two weeks), 16:45 - 17:45


    • Research Meeting, Prospectus: Action Rules, 12:00 - 13:00
    • Research Meeting, REU: Distributed Machine Learning, 15:00 - 16:00
    • Research Meeting, Prospectus: Image Processing, 16:00 - 17:00
    • Data Mining, 18:00 - 19:15


    • Concurrent and Distributed Computing, 11:15 - 12:05
    • DSC Forum, 15:00 - 16:00 (every other week)

Sessions and Minitracks

Contact Information: Ryan Benton