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Daniel McDonald

Faculty Member

Dr. Dan McDonald

Biography

I graduated from BYU in Accounting and worked 3 years in industry doing managerial accounting, manufacturing scheduling, and materials management. During this time I reported on labor and material variances and scheduled manufacturing for double hung, slider and vinyl windows. I also wrote an order-entry scheduling system. During the same time, I also worked installing Novel networks. I returned to school and earned M.S. and Ph.D. degrees from the University of Arizona in Management Information Systems. I also worked in system architecture and web development. I was an Assistant Professor (Lecturer) for four years at the University of Utah in the School of Business. In 2011, I joined Utah Valley University as an Assistant Professor.

Education

PhD, University of Arizona, 2006

Major: Management Information Systems

MS, University of Arizona, 2001

Major: Management Information Systems

BS, Brigham Young University, 1995

Major: Accounting

Teaching

INFO 3330

Client-Side Web Development, Spring 2025

INFO 4300

Enterprise Web Development, Spring 2025

INFO 3300

Web Systems Development, Spring 2025

Presentations

McDonald, Dan , Chen, Hsinchun , Sheng, Olivia , Southwest Decision Sciences Institute Conference, "Using Hybrid Lexical Profiles to Find and Name Entities", SWDSI, Dallas, TX. (March 15, 2014)
McDonald, Dan , Religious Faith and Social and Applied Sciences Conference, "A Text Mining Analysis of Religious Texts", UVU, Orem. (October, 2013)
McDonald, Dan , Chen, Hsinchun , Sheng, Olivia , Utah Winter Business Intelligence Conference, "Using Hybrid Lexical Profiles to Find and Name Entities", Southwest Decision Sciences Institute Conference, Salt Lake City, UT. (December, 2006)
McDonald, Dan , Chen, Hsinchun , Schumaker, Robert , AAAI Spring Symposium on Homeland Security, "Transforming open-source documents to terror networks_ the Arizona TerrorNet", AAAI, Palo Alto, CA. (March, 2005)
McDonald, Dan , Su, Hua , Chen, Hsinchun , Tseng, C-L , Pacific Symposium on Biocomputing, "Extracting and Visualizing Gene Pathway Networks from Biomedical Texts", Kona, HI. ()
McDonald, Dan , Su, Hua , Marshall, Byron , Chen, Hsinchun , Tseng, C-L , BISTI Symposium_ Digital Biology_ The Emerging Paradigm, "Combining Extracted Gene Relations With Ontologies To Create Meaningful Pathway Maps", National Institutes of Health, Bethesda, MD. (November, 2003)

Scholarly/Creative Works

McDonald, Dan , (2014) "A text mining analysis of religious texts" . Orem, UT: Journal of Business Inquiry .
McDonald, Dan , Boyle, Randall , Anderson, John , (2014) "Using an SOM to Visualize Deceptive Chat Content" . Las Vegas: International Association for Computer Information Systems.
McDonald, Dan , Chen, Hsinchun , Sheng, Olivia , (2014) "Using hybrid lexical profiles to find and name entities" . Dallas, TX: Southwest Decision Sciences Institute.
Hansen, James V, Lowry, Paul B, Meservy, Rayman D, McDonald, Dan , (2007) "Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection" (Issue: 4, vol. 43). Decision Support Systems.
Marshall, Byron , Su, Hua , McDonald, Dan , Eggers, Shawna , Chen, Hsinchun , (2006) "Aggregating automatically extracted regulatory pathway relations" (Issue: 1, vol. 10). US: IEEE Transactions on Information Technology in Biomedicine.
McDonald, Dan , Chen, Hsinchun , (2006) "Summary in context_ searching versus browsing" (Issue: 1, vol. 24). ACM Transactions on Information Systems.

Awards

Best Paper Award

SW Decision Sciences Institute Conference 2014 - March, 2014

An award given by the SW Decision Sciences arm of the Federated Business Disciplines.

Travel Award

Senate Faculty Development Committee at UVU - October, 2013

A travel grant issued by the University to cover the expenses incurred to present my research.

“A Most Influential Teacher” Award

OIS Department at University of Utah - May, 2011

Marvin J. Ashton Teaching Excellence Award

University of Utah - May, 2010

An award given by the School of Business with the primary input being the vote of the student body.