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.

General Information

• Curriculum Vitae
• Linkedin: Ryan Benton
• Google Scholar: Citations
• ResearchGate: Under Ryan Benton

Publication Lists

• DBLP:Under Ryan G. Benton or Ryan Gene Benton
• Publications (local list by publication type)
• Publications (local list by research topic)

Classes

Fall

• CSC 331 - Software Engineering Principles
• CSC 526 - Data Mining

Spring

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

Current Research

Research Projects

• Projects
• Grants

Research Groups

• Data Science (DSC) Ensemble
• Digital Forensics Information Intelligence Research Group

Students

Current

• Lowell Crook, master thesis, chair
• Patrick Luckett, disseration, member
• Dustin Mink, disseration, member
• Adam Minor, master thesis, member
• Colby Parker, master thesis, member
• Thomas Watts, disseration, chair



Former, Thesis, South Alabama

• 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

Schedule

Monday

• Meeting, CURE, 14:00 - 15:00
• Office, 15:00 - 17:00
• Advanced Big Data, 18:00 - 19:15

Tuesday

• Software Engineering, 11:00 - 12:15
• Office, 14:00 - 17:00

Wednesday

• Office, 10:00 - 12:00
• Cloud Visualization, 13:00 - 14:00
• Anomaly Detect for Engine, 14:30 - 15:30
• Meeting: Ind. Study, 16:00 - 17:00
• Advanced Big Data, 18:00 - 19:15

Thursday

• Software Engineering, 11:00 - 12:15
• Software Engineering Lab, 12:30 - 13:30

Friday

• DSC Forum, 15:00 - 16:00 (every other week)

Sessions and Minitracks

Upcoming

• SIGSEC Minitrack 1: Digital Forensics, Data Analytics and Data Security at AMCIS 2018

Past

• Demo Session at ICDM 2018