Faculty

  • Ratio of majors to full-time department faculty: 9:1
  • Average class size, introductory: 18
  • Average class size, intermediate: 21.5
  • Average class size, advanced: 20.5

Full-Time Faculty

Oliver Bonham-Carter  B.S. Creighton University, Biology; M.S., University of Nebraska, Omaha, Mathematics; PhD University of Nebraska, Omaha Information Science and Technology with a specialization in Bioinformatics

Janyl Jumadinova  (Chair) B.S., Peru State College; M.S., Ph.D., University of Nebraska at Omaha

Gregory Kapfhammer   B.S., Allegheny College, M.S., Ph.D. University of Pittsburgh

Douglas Luman M.F.A. George Mason University; B.S. Bradley University

Aravind Mohan  B.S., Anna University; M.S., Governors State University; Ph.D., Wayne State University

Selected Faculty Publication

  •  An Empirical Study on the Use of Defect Prediction for Test Case Prioritization; David Paterson, José Campos, Rui Abreu, Gregory M. Kapfhammer, Gordon Fraser, and Phil McMinn, 2019
  • Automatic Detection and Removal of Ineffective Mutants for the Mutation Analysis of Relational Database; Phil McMinn, Chris Wright, Colton McCurdy, and Gregory M. Kapfhammer, 2019
  • Automatic Visual Verification of Layout Failures in Responsively Designed Web Pages; Ibrahim Althomali, Gregory M. Kapfhammer and Phil McMinn, 2019
  • DOMINO:  Fast and Effective Test Data Generation for Relational Database Schemas, Abdullah Alsharif, Gregory Kapfhammer, and Phil McMinn, 2018
  • Generating Test Suites With DOMINO, Abdullah Alsharif, Gregory M. Kapfhammer, and Phil McMinn, 2018
  • Automatic Detection of Potential Layout Faults Following Changes to Responsive Web Pages; Thomas A. Walsh, Phil McMinn, Gregory M. Kapfhammer; Proceedings of the 30th International Conference on Automated Software Engineering, November 2015
  • expOse: Inferring Worst-Case Time Complexity by Automatic Empirical Study; Cody Kinneer, Gregory M. Kapfhammer, Chris J. Wright, and Phil McMinn; Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, June 2015
  • Automatically Evaluating the Efficiency of Search-Based Test Data Generation for Relational Database Schemas; Cody Kinneer, Gregory M. Kapfhammer, Chris J. Wright, and Phil McMinn; Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, June 2015
  • Scheduling Big Data Workflows in the Cloud under Deadline Constraints, Mahdi Ebrahimi, Aravind Mohan, and Shiyong Lu, 2018
  • Big Data Workflows: A Reference Architecture and The Dataview System, Andrey Kashlev, Shiyong Lu, and Aravind Mohan, 2017
  • Scheduling Big Data Workflows in the Cloud under Budget Constraints, Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov, 2016
  • A NoSQL Data Model for Scalable Big Data Workflow Execution, Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov, 2016
  • Task and Data Allocation Strategies for Big Data Workflows, Mahdi Ebrahimi, Aravind Mohan, Andrey Kashleve, Shiyong Lu, and Robert Reynolds, 2016
  • Monitoring the Well-Being of a Person Using a Robotic-Sensor Framework; Hanzhong Zheng and Janyl Jumadinova, 2016
  • Using Boolean Networks for Consensus in Multi-Robot Environmental Monitoring Tasks; Hanzhong Zheng and Janyl Jumadinova, 2016
  • OWLS: Observational Wireless Life-enhancing System; Hanzhong Zheng, Almog Boanos; and Janyl Jumadinova, 2016
  • The COMRADE System for Multi-Robot Autonomous Landmine Detection in Post-Conflict Regions; Prithviraj Dasgupta, Jose Baca, K. R. Guruprasad, Angelica Munoz-Melendez, Janyl Jumadinova; Journal of Robotics, Volume 2015
  • Automated Pricing in a Multi-agent Prediction Market using a Partially Observable Stochastic Game; Janyl Jumadinova and Prithviraj Dasgupta; ACM Transactions on Intelligent Systems and Technology, Volume 6, Number 4, 2015
  • PTM Tracker:  A System for Determining Trends of PTM Modification Sites Relative to Protein Domains; Oliver Bonham-Carter and D. R. Bastola, 2016
  • A Study of Bias and Increasing Organismal Complexity From Their Post-Translational Modifications and Reaction Site Interplays; Oliver Bonham-Carter, I. Thapa, S. From, and D. Bastola, 2016
  • A Text Mining Application For Linking Functionally Stressed-Proteins to Their Post-Translational Modifications; Oliver Bonham-Carter and D. R. Bastola, 2015
  • Evidence of Post Translational Modification Bias Extracted From the tRNA and Corresponding Amino Acid Interplay Across a Set of Diverse Organisms; Oliver Bonham-Carter, I. Thapa, and D. Bastola, 2014
  • A Content and Structural Assessment of Oxidative Motifs Across a Diverse Set of Life Forms; Oliver Bonham-Carter, J. Pedersen, and D. Bastola, 2014
  • A Multi-Agent System with Reinforcement Learning Agents for Biomedical Text Mining; Michael Camara, Oliver Bonham-Carter, Janyl Jumadinova; Proceedings of the Workshop on Big Data in Life Sciences, 2015