Dr. Brent T. Langhals, Associate Professor of Information Resource Management
Dr. Brent Langhals is an Associate Professor of Information Resource Management at the Air Force Institute of Technology, Wright-Patterson AFB, OH. His research interests include data analytics, database, human-computer interaction, systems engineering, psychophysiological cues and vigilance. Author of refereed journal articles and conference papers and has served as reviewer for dozens of journal publications. He is currently the director for the AFIT Data Analytics Program as well as curriculum chair for the Information Systems specialization track. He is actively involved research related to Data Management, Data Analytics, Information Systems and Systems Engineering within the Department of Systems and Engineering Management. He has directly advised and graduated 38 in-residence and 21 distance learning Masters and PhD students. Dr. Langhals teaches courses in Database, Data Analytics, Data Communications, Strategic Information Management, and Systems Process Improvement.
Education
Ph.D. University of Arizona, MIS Program, Eller College of Management, 2011
Major: Management - Management Information Systems Concentration
Minor: Systems and Industrial Engineering
Dissertation Title: Using Eye and Head Based Psychophysiological Cues to Enhance Screener Vigilance
M.S. Air Force Institute of Technology, Wright-Patterson AFB, OH, 2001
Major: Information Resource Management.
Thesis title: The Effect of Varying Arousal Methods upon Vigilance and Error Detection in an Automated Command and Control Environment.
B.S. United States Air Force Academy, Colorado Springs, CO,1995.
Major: History
Awards
2024 - Sigma Iota Epsilon Instructor of the Year
2018 - Sigma Iota Epsilon Instructor of the Year
2013 - Department of Systems Engineering and Management Educator of the Year
2008 - HQ Air Force Space Command - Field Grade Officer of the Quarter
2006 - HQ Air Force Space Command - Field Grade Officer of the Quarter
2002 - Air Force Communications Agency – Local Areas Networks Division - Company Grade Officer of the Quarter
Publications
Wagner, T. Guhl, D.* Langhals, B. T. (2024) The Impact of Data Preparation and Model Complexity on the Natural Language Classification of Chinese News Headlines. Algorithms, 17, 132. https://doi.org/10.3390/a17040132
Meyer, B.*, Wagner, T., Langhals, B.T. (2023) Machine Learning Prediction of Alaskan F-22 Sortie Cancellations Based on Weather, Journal of Defense Research & Engineering, Vol 6, No. 5.
Reis, G. A., Miller, M. E., Geiselman, E. E., Langhals, B. T., Schubert-Kabban, C. M., Jackson, J. A. (2023), Effect of visual field asymmetries on performance while utilizing aircraft attitude symbology. Displays, Volume 77, 102404, ISSN 0141-9382, https://doi.org/10.1016/j.displa.2023.102404
Turner, J.*, Wagner, T., Langhals, B.T. (2022) Biomechanical and Psychological Predictors of Failure in the Air Force Physical Fitness Test. Sports, 10, 54. https://doi.org/10.3390/sports10040054
Reese, J.N.*, Ritschel, J.D., Langhals, B.T., Engle, R. (2021). Integrating Cost as a Decision Variable in Wargames. Air and Space Power Journal, Winter, 35-46.
Zoboroski L, Wagner T, Langhals B.T. (2021) Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use. International Journal of Environmental Research and Public Health. July 2021; 18(14):7466. https://doi.org/10.3390/ijerph18147466
Christensen C, Wagner T, Langhals B.T. (2021) Year-Independent Prediction of Food Insecurity Using Classical and Neural Network Machine Learning Methods. AI. May 2021; 2(2):244-260. https://doi.org/10.3390/ai2020015
Engle, R.*, Langhals, B.T., Grimaila, M.R., Hodson, D.D., (2021) A Methodology for Storing Log Data with Changing Structure in a Relational Database. Journal of DoD Research and Engineering, Vol 4, Issue 1, January 2021.
Stout, T.*, Teston, A.*, Langhals, B.T., Delorit, J., Hendrix, C., Schuldt, S. (2020). United States Department of Defense (DoD) Real Property Repair, Alterations, Maintenance, and Construction Project Contract Data: 2009--20219. Elsevier: Data in Brief, Vol 32, October 2020.
Sigala, A.*, Langhals, B.T. (2020). Applications of Unmanned Aerial Systems (UAS): A Delphi Study Projecting Future UAS Missions and Relevant Challenges, DRONES, Vol 4, Issue 1, March 2020.
Beach, P. M.*, Mailloux, L.O., Langhals, B.T, Mills, R.F. (2019). Analysis of Systems Security Engineering Design Principles for the Development of Secure and Resilient Systems, IEEE Access, Vol 7, Issue 1, July 2019.
Guinn, V. L.*, Langhals, B. T., Elshaw, J. J. (2018). Evaluating Smartphones for Infrastructure Work Order Management, International Journal of Interactive Mobile Technologies, Vol 12, Issue 8, December 2018.
Engle, R.*, Langhals, B. T., Grimaila, M. R., Hodson, D. (2018). Evaluation Criteria for Selecting NoSQL Databases in a Single-Box Environment. International Journal of Database Management Systems, Vol 10, No 4, August 2018.
Luna-Reyes, L. S., Derrick, D. C., Langhals, B. T., Nunamaker, J. F. (2013). Collaborative Cross-Border Security Infrastructure and Systems: Identifying Policy, Managerial and Technological Challenges. International Journal of E-Politics, 4(2), 21-38, April-June 2013 21.
Langhals, B. T., Burgoon, J. K., Nunamaker, J.F. (2013). Using Eye-based Psychophysiological Cues to Enhance Screener Vigilance. Journal of Cognitive Engineering and Decision Making, Vol 7, Issue 1, March, pp 83-95.