Dr. Brett J. Borghetti, Ph.D.

Professor of Computer Science

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  PhD Dissertations Advised MS Thesis Advised Courses

PhD Dissertations Advised

1. Gutierrez-del-Arroyo, Jose A., Concentration Area: Wireless device classification with machine learning.  Dissertation Title: “Learning Robust Radio Frequency Fingerprints Using Deep Convolutional Neural Networks” Graduated: September 2022 (Sponsor: AFRL/RYW)
2. Kamrud, Alexander, J., Concentration:  Cognitive Bias Detection and Mitigation using deep learning.  Dissertation Title: “Advancing Proper Dataset Partitioning and Classification of Visual Search and the Vigilance Decrement Using EEG Deep Learning Algorithms” Graduated:  September 2021 (Sponsor: AFRL/RH 711^th HPW)
3. Westing, Nicholas, M., Concentration:  Deep learning for hyperspectral imagery analysis.  Dissertation Title: “Physics-Constrained Hyperspectral Data Exploitation Across Diverse Atmospheric Scenarios”, Graduated:  September 2020
4. Dickey, Joshua., Concentration:  Deep learning for seismic event detection.  Dissertation Title: “Neural Network Models for Nuclear Treaty Monitoring: Enhancing the Seismic Signal Pipeline with Deep Temporal Convolution”, Graduated:  June 2020 (Sponsor: AFTAC)
5. Hefron, Ryan, G., Concentration Area: Deep learning for mental workload estimation.  Dissertation Title: “Breaking Down the Barriers To Operator Workload Estimation: Advancing Algorithmic Handling of Temporal Non-Stationarity and Cross-Participant Differences for EEG Analysis Using Deep Learning”, Graduated: September 2018 (Sponsor:  AFOSR)