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, 2015-2017
• CSC 399 - Concurrent and Distributed Computing, 2018, 2020
• CSC 426 - Data Mining (undergraduate), 2020
• CSC 526 - Data Mining (graduate), 2015-present

Spring

• CSC 331 - Software Engineering Principles, 2016-2018
• CSC 399 - Concurrent and Distributed Computing, 2019
• CSC 626 - Advanced Big Data, 2016-present

Current Research

Research Projects

• Projects
• Grants
• Code/Software

Research Groups

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

Students

Current

• Alec Austin, master thesis, chair
• Ho Yin Chan, master thesis, chair
• Robert Cox, master thesis, chair
• Edward Harshany, dissertation, chair
• Blake Johns, master thesis, chair
• Shengyu Li, dissertation, member
• Daniel Miller, disseration, member
• Ryan Odeneal, master thesis, member
• Colby Parker, dissertation, member



Former, Disseration, South Alabama

• Christopher Scott Brown, Local Model Feature Transformations, Computing, Chair
• Thomas Watts, Visualization of Orchestrated Containerized Workloads, Computing, Chair
• Stacy Miller, 2019, Examining Engagement Behavior on Social Media Related to Fake News, Computing, Member
• Dustin Mink, 2019, Indicators of Compromise for the United States Federal Aviation Administration Next Generation Air Transportation System Automatic Dependent Surveillance-Broadcast, Computing, Member
• Patrick Luckett, 2018, Nonlinear Methods For Detection And Prediction Of Epileptic Seizures, Computing, Member



Former, Thesis, South Alabama

• Adam Gautier, 2020, Hardware-Based Intrusion Detection Using Thermal Side-Channels, Computer and Information Sciences, Computer Science Specialization, Member
• Nathan Herron, 2020, Android Malware Detection Using Machine Learning Algorithms, Computer and Information Sciences, Computer Science Specialization, Member
• Lowell Crook, 2019, Query Driven Association Action Rule Mining, Computer and Information Sciences, Computer Science Specialization, Chair
• Adam Minor, 2019, Android Malware Detection Using Textural Feature Recognition of Visualized Binary, Computer and Information Sciences, Computer Science Specialization, Member
• Grant Daly, 2018, Application of Multi-Objective Evolutionary Algorithms to Action Rule Mining, Computer and Information Sciences, Computer Science Specialization, Co-Chair
• Colby Parker, 2018, "Android Malware Detection Using Step-Size Based Mutil-Layered Vector Space Models", Computer and Information Sciences, Computer Science Specialization, 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 and Information Sciences, Computer Science Specialization, Chair



Former, Master Project, South Alabama

• Timonthy Sullivan, 2019, Visualization-based VMDK Integrity Checking, Computer and Information Sciences, Computer Science Specialization, Chair
• Zachary Denton, 2017, Dynamic Action Set Mining, Computer and Information Sciences, Computer Science Specialization, Chair
• Mohan Vamsi Kasukurthi, 2017, OmniSearch: Ontology-based Semantic Search System for microRNA Research, Computer and Information Sciences, Computer Science Specialization, 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

Schedule

Monday

• Austin Sanders, 11:00-12:00
• Coordination Call (biweekly), 14:00-15:00

Tuesday

• CARFS - Wyatt Green, 10:00-11:00
• Alec Austin, 13:30-14:30

Wednesday

• Edward Harshany, 10:00-11:00

Thursday

• CARFS Concept Analysis (biweekly), 10:00-11:00
• Suresh Choubey, 11:00-12:00
• Blake Johns, 13:00-14:00
• Wichita, 14:00-15:00
• Ho Yin Chan, 15:00-16:00

Friday

Sessions and Minitracks

Upcoming

• Data Predictive Maintenance using Artificial Intelligence at IEEE Big Data 2020
• Discriminative Pattern Mining Workshop at IEEE Big Data 2020

Past

• Data Predictive Maintenance using Artificial Intelligence at IEEE Big Data 2019
• Demo Session at ICDM 2017