Trevor J. Bihl, Ph.D.

OVERVIEW

EDUCATION

SELECTED POSITIONS AND ACADEMIC APPOINTMENTS

PEER REVIEWED JOURNAL ARTICLES 

1. Moore, K. L., Bihl, T. J., Bauer, K. W., & Dube, T. D.  “Cyber Data Feature-Extraction and Artificial Neural Network Based Feature Selection for Classifying Cyber-Traffic Threats” Journal of Defense Modeling and Simulation, accepted with revision: May 2016
   
2. Bihl, T. J., Bauer, K. W., & Temple, M. (2016) “Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions” IEEE Transactions on Information Forensics and Security, vol. 11, no. 8, pp. 1862-1874 - paper (pdf)
   
3. Situ, J.X., Friend, M.A., Bauer, K.W., and Bihl, T.J. (2016), “Contextual Features and Bayesian Belief Networks for Improved Synthetic Aperture Radar Combat Identification,” Military Operations Research Journal, vol. 21, no. 1, pp. 89-106 - paper (pdf)
4. Bihl, T. J., Young, W. A., and G. R. Weckman, (2016) “Defining, Understanding and Addressing Big Data,” International Journal of Business Analytics (IJBAN), vol. 3, no. 2, pp. 1-32 - paper
5. Jablonski, J. A., Bihl, T. J., & Bauer, K. W., (2015) “Principal Component Reconstruction Error for Hyperspectral Anomaly Detection” IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 8, pp. 1725-1729.  - paper (pdf)
6. Friesen K. D., Bihl, T. J., Bauer, K. W., & Friend, M. A. (2013). Contextual Anomaly Detection Cueing Methods for Hyperspectral Target Recognition,” American Journal of Science and Engineering, vol. 2, no. 1, pp. 9-16.  - paper (pdf)
7. Williams, J., Bihl, T., & Bauer, K. (2013). “Towards the mitigation of correlation effects in anomaly detection for hyperspectral imagery,” Journal of Defense Model and Simulation, vol. 10, no. 3, pp. 263-273.  - paper (pdf)
8. Ryer, D. M., Bihl, T. J., Bauer, K. W., & Rogers, S. K. (2012). “QUEST Hierarchy for Hyperspectral Face Recognition,” Advances in Artificial Intelligence, vol. 2012, pp. 1-13  - paper (pdf)

BOOKS

1. Bihl, T. J., (2017) Biostatistics Using JMP: A Practical Guide, SAS Press
   

BOOK CHAPTERS AND TECHNICAL REPORTS

1. Bihl, T. J., Young, W. A., and G. R. Weckman, (in progress) “Artificial Neural Networks and Applications in Business,” Encyclopedia of Business Analytics and Optimization, invited: May 2016
2. Frey, J. S., Bihl, T. J., Kobayashi, A., Mitchell, S. W., Dillard, S. C., Mauzy, C. A., Mattie, D. R., (2015) “Examination of Urinary β-Naptholas a biomarker Indicative of Jet Fuel Exposures,” Air Force Research Laboratory (AFRL) Technical Report. - paper
   
3. Jacobsen, J. J., Polito, A. B., Chapleau, R. R., Maurer, E.I, Frey, J. S.,  Bihl, T. J., Mauzy, C. A.,  (2014) “Interaction of Jet Fuel Hydrocarbon Components with Red Blood Cells and Hemoglobin,” Air Force Research Laboratory (AFRL) Technical Report  - paper (pdf)
4. Bihl, T. J., Young, W. A., and G. R. Weckman, (2014) “Decision Support Systems in Business,” Encyclopedia of Business Analytics and Optimization, 1st Ed., vol. 2, pp. 696-707.  - paper (pdf)
5. Young, W. A., Bihl, T. J., and G. R. Weckman, (2014) “Artificial Neural Networks for Business: A Starting Point,” Encyclopedia of Business Analytics and Optimization, 1st Ed., vol. 1, pp. 193-208  - paper (pdf)

CONFERENCE PROCEEDINGS

1. Bihl, T. J., Temple, M. A., Bauer, K.W., and Ramsey, B., (2015) “Dimensional Reduction Analysis for Physical Layer Device Fingerprints with Application to ZigBee and Z-Wave Devices,” IEEE Military Communications Conference (MILCOM), Tampa, FL  - paper (pdf), slides (pdf)
   
2. Carbino, T. J., Temple, M. A., & Bihl, T. J., (2015) “Ethernet Card Discrimination Using Unintentional Cable Emissions and Constellation-Based Fingerprinting,” International Conference on Computing, Networking and Communications (ICNC), Anaheim, CA, pp. 369-3731. - paper (pdf), slides (pdf)
   
3. Ward, M. R., Bihl, T. J., & Bauer, K. W., (2014) “Vibrometry-based vehicle identification framework using nonlinear autoregressive neural networks and decision fusion,” IEEE National Aerospace and Electronics Conference (NAECON),  Dayton, OH, pp. 180-18. - paper (pdf), slides (pdf)
4. Bihl, T. J., Mitchell, J.R., and Irwin, R. D., (2013) “Hybrid System Identification for MIMO Control-System Design,” 19th IFAC (International Federation of Automatic Control) Symposium on Automatic Control in Aerospace, Würzburg, Germany, pp. 411-416 - paper (pdf), slides (pdf)
5. Ryer, D.M., Bihl, T.J., Bauer, K.W., and Rogers, S.K., (2011) “QUEST Hierarchy for Hyperspectral Face Recognition,” SPIE Symposium on Defense & Security Symposium, Orlando, FL, pp. 1-9.  - paper (pdf), slides (pdf)
6. Mindrup, F., Bihl, T.J., and Bauer, K., (2010) "Modeling Noise in a Framework to Optimize the Detection of Anomalies in Hyperspectral Imaging," Intelligent Engineering Systems Through Artificial Neural Networks, St. Louis, MO, V20, pp. 517-524.  - paper (pdf), slides (pdf)
7. Williams, J., Bihl, T.J., and Bauer, K., (2010) "Mitigation of Correlation and Heterogeneity Effects in Hyperspectral Data," Intelligent Engineering Systems Through Artificial Neural Networks, V20, St. Louis, MO, pp. 501-507. - paper (pdf), slides (pdf)
8. Bihl, T.J., Heidenreich, J., Allen, D., and Hunt, K., (2009) “SPECTTRA:  A Space Power System Modeling and Simulation Tool,” AIAA 7th International Energy Conversion Engineering Conference, Denver, CO, pp. 1-14.  - paper (pdf), slides (pdf)
9. Bihl, T.J., Pham, K.D., and Murphey, T.W., (2007) “Modeling and Control of Active Gravity Off-Loading for Deployable Space Structures,” SPIE Symposium on Defense & Security Symposium, Orlando, FL, pp. 1-10.  - paper (pdf), slides (pdf)
10. Bihl, T.J., Manning, W.J., Mitchell, J.R., and Bukley, A.P., (2007) “Controller Development and Embedded Controller Implementation for Active Gravity Off-Loading of Deployable Space Structures,” 30th Annual AAS Guidance and Control Conference, US Only FOUO Section,  Breckenridge, CO, pp. 1-9. 
    

CONFERENCE PRESENTATIONS

1. Teixeira, A., Bihl, J., Bihl, T., Ribeiro, R., Kool, R., Schmeler, K., Herzog, T., Goncalves, W., Nicolau, S., and Marques, R. (2016) “A Pre and Intraoperative Scoring System to Predict Nodal Metasis in Endometrial Cancer,” Society of Surgical Oncology – Annual Cancer Symposium, poster presentation, Boston, MA - poster (pdf)
2. Bihl, T. J., (Dec. 2014) invited: “MATLAB Tutorial: Introduction and Example AFIT Case Studies,” Annual WPAFB Analysis Forum, Air Force Institute of Technology, Dayton, OH
3. Paciencia, T. J., Bihl, T. J., and Bauer, K. W., (2014) “Optimizing Hyper-Radial Values to Create Intuitive n-Dimensional Visualizations,” MAA Ohio Chapter Meeting, Wittenberg University, Springfield, OH. 
4. Paciencia, T. J., Bihl, T. J., and Bauer, K. W., (2014) “Improved visualizations of n-dimensional data using hyper-radial values,” Cincinnati-Dayton INFORMS Symposium, Wright State University, Dayton, OH.
5. Bihl, T.J., and Bauer, K.W., (2013) “Data Mining and Analyzing Basic Features of the State of the Union Addresses,” MAA Ohio Chapter Meeting, Denison University, Granville, OH  - slides (pdf)
   
6. Situ, J.X., Bihl, T.J., Bauer K. W., and Friend, M.A., (2012) “Combat Identification of Synthetic Aperture Radar Images using Contextual Features and Bayesian Belief Networks,” MORS Symposium, United States Air Force Academy, Colorado Springs, CO.
7. Friesen, K., Bihl, T.J., Bauer, K.W.,  and Friend, M.A., (2012) “Automatic Combat Identification and Out of Library Considerations for Hyperspectral Imagery,” MORS Symposium, United States Air Force Academy, Colorado Springs, CO .
8. Williams, J. P., Bihl, T. J., and Bauer, K. W., (2011) “Towards the Mitigation of Correlation Effects in Anomaly Detection for Hyperspectral Imagery,” INFORMS Midwest Conference, Ohio State University, Columbus, OH.
9. Williams, J. P., Bihl, T. J., and Bauer, K. W., (2011) “Towards the Mitigation of Correlation Effects in Anomaly Detection for Hyperspectral Imagery,” MORS Colloquium, Virginia Military Institute, Lexington, VA
10. Mindrup, F., Bauer, K., Bihl, T.J., and Williams, J., (2010) "AFIT/ENS Sensor Fusion Lab Advanced Research in Automatic Target Recognition," MORS Symposium, United States Marine Corps Base, Quantico, VA.
11. Allen, D., Heidenreich, J., Bihl, T.J., and Hunt, K., (2009) “SPECTTRA:  A Space Power System Modeling and Simulation Tool,” Space Power Workshop, Manhattan Beach, CA.
    

COMMITTEE SERVICE

• Wright State University
• Melissa Coral, Analyzing Cognitive Workload Through Eye Movement Measurements, a Meta-Analysis, Chair: Dr. Mary Fendley, (anticipated defense: April - May, 2016)
  
• Air Force Institute of Technology
• Walter Russel, Methods to Address Extreme Class Imbalance in Machine Learning Based Network Intrusion Detection Systems, Chair: Dr. Kenneth Bauer, Feb. 2016
• Brendan McLean, Automatic Target Detection Using Neural Network Approaches for Hyperspectral Imagery, Chair: Dr. Kenneth Bauer, Feb. 2016
  

TEACHING EXPERIENCE

ACADEMIC SERVICE ACTIVITIES

AWARDS, CERTIFICATIONS AND ADDITIONAL TRAINING

PROFESSIONAL AFFILIATIONS