Research Areas: Dr. Barker received his Ph.D. in Computer Science from the University of Utah in 2007. His primary research interest involves studying time series microarray data obtained from genetic networks to uncover genetic connectivity. Although this sounds very biological, it is really an application of computer science principles to data obtained from genetic networks. He is also interested in other related topics involving Artificial Intelligence, Data Mining, BioInformatics or Algorithms. He presented his research at the Mountain West Biomedical Engineering Conference, as well as the 19th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems. He also advises students in the Computer Club as they take on interesting web-based projects, often from other clubs on campus, or even larger projects from companies in the local community.
Research Areas: Dr. Grady received his PhD. in 1992 from the University of California at Santa Barbara. He has published papers in a number of highly respected journals, including Mathematics of Computation, Combinatorial Mathematics and Combinatorial Computing, Linear Algebra and its Applications, Contemporary Mathematics, Discrete Mathematics and The Mathematical Monthly.
Research Areas: Her research and publications focus in the following areas: management of information security; computer crime; computer ethics, electronic commerce; and E-Government.
Research Areas: Dr. Robertson's research focus is in the areas of network security and e-commerce. Rob has participated in the IEEE SoutheastCon Conference, presenting on the Critical Success Factors in E-Commerce for Small Business. He also presented at the Global Information Technology Management Conference on Vulnerability Assessment and at IEEE SoutheastCon Conference on Security Auditing, Policies and Practices, and others. Rob has published in the Journal of Knowledge, Culture, and Change Management, on Risk Management in E-Commerce.
Research Areas: Dr Tadayon has conducted original research in the field of data mining, especially algorithms involving neural networks. He has been involved in several applied research projects funded by Boeing, FAA, Anderson Co, as well as smaller companies like Optimal Engineering Solutions in a variety of applications including Cost Estimation Techniques for Software Development using Neural Networks, Flight Operation Risk Assessment Systems (FORAS), Statistical Analysis for General Aviation Accidents, Development of a Data Gathering Software for Projects (PMEG), Missing Data Analysis System (MIDAS), development of a database and interface with mathematical models for evaluating software.
Research Areas: Professor Wu's primary research interests are in capturing and designing temporal structures into electronic time management systems. This has involved work on modeling the relationship between personal use of temporal structures involving electronic time management/calendar systems and the quality of
individual time management. She has also worked in the areas of human-computer interaction, mobile collaboration, global virtual teams, personalization systems and technology-mediated learning.
Research Areas: Dr. Heiner received her Ph.D. in Computer Science from the University of Utah in 2009. Her research is centered at the intersection of computer science and education utilizing techniques from Artificial Intelligence, Data Mining, and Human Computer Interaction. Current projects include a tutoring system to increase the mammogram rate in Utah, real time question asking, answering, and classification for lectures, and various efforts to improve computing education in Utah.