Trevor J. Bihl

Trevor J. Bihl is with the Department of Operational Sciences at the Air Force Institute of Technology (AFIT) in Dayton, OH. He is also adjunct faculty at Wright State University, Dayton, OH, in both the Department of Biomedical, Industrial and Human Factors Engineering and the Department of Pharmacology and Toxicology. He earned his PhD in electrical engineering from the Air Force Institute of Technology and an MS and BS in Electrical Engineering from Ohio University. In addition to his academic experience, he has practiced in industry for 10 years for firms such as the Air Force Research Laboratory, Schafer Corporation, Applied Research Solutions and Riverside Research Institute. His research interests include data mining, signal processing, pattern recognition and operations research.

Publications

Artificial Neural Networks and Data Science
Trevor Bihl, William A. Young II, Adam Moyer, Steven Frimel. © 2023. 23 pages.
Artificial neural networks (ANNs) consist of a family of techniques that are commonly employed to recognize and interpret patterns in big data that are used in prediction...
Decision Support Systems and Data Science
Trevor Bihl, William A. Young II, Adam Moyer. © 2023. 17 pages.
Decision support systems (DSS) are information systems that facilitate human decision-making through the presentation and analysis of data. Primarily, these information systems...
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 19 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in big data, preclude efficient human analysis. Artificial...
Defining, Understanding, and Addressing Big Data
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 36 pages.
“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in...
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2018. 16 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in Big Data, preclude efficient human analysis. Artificial...
Artificial Neural Networks for Business Analytics
William A. Young II, Trevor J. Bihl, Gary R. Weckman. © 2014. 16 pages.