Bio
Maj Alexander J. Kamrud is an Assistant Professor in the Department of Computer and Cyber Science at the United States Air Force Academy. Previously, Maj Kamrud was the Deputy Branch Chief for the Systems Engineering Branch of the Spectrum Warfare Division within the AFRL Sensors Directorate. As Deputy Branch Chief, Maj Kamrud assisted in leading a team of scientists and engineers for maturing advanced electronic warfare (EW) technologies through modelling & simulation, hardware-in-the-loop testing, and flight evaluations. He was also dual-hatted as the Autonomy & AI (A&AI) Co-Lead for the AFRL Sensors Directorate, where he tracked, promoted, and connected RY A&AI efforts to AFRL and the broader research community. Previously, Maj Kamrud graduated with a PhD in Computer Science (CS) from the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, Ohio, with a research emphasis on Deep Learning using Electroencephalography (EEG) signals.
Prior to his acceptance to the AFIT PhD program, Maj Kamrud completed a 14-month White House TDY to the National Security & International Affairs division within the Office of Science & Technology Policy (OSTP). There he performed Executive Officer duties for the 4-star equivalent Associate Director of his division, a Deputy Secretary level position. In addition to his duties as Executive Officer, as Policy Advisor he furthered the White House’s national security policies in science, technology, and innovation with respect to Counter-UAS (C-UAS), Counter-MANPADS, Lethal Autonomous Weapons Systems, Machine Learning & Artificial Intelligence, Continuity of Operations, and also supported policy work in National Security/Emergency Preparedness Communications. With these duties, Maj Kamrud co-chaired the National Security Council C-UAS Technology Working Group, and was acting co-chair for the Machine Learning & Artificial Intelligence Subcommittee of the cabinet-level National Science & Technology Council.
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Education
Bachelor of Science, Electrical and Computer Engineering, University of Minnesota Duluth (2010)
Master of Science, Computer Science, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio (2015)
Squadron Officer School, Air University, Maxwell Air Force Base, Alabama (2018)
Doctor of Philosophy, Computer Science, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio (2021)
Master of Military Operational Art and Science, Air Command and Staff College, Maxwell Air Force Base, Alabama (2023)
Professional Experience
July 2010 – May 2013, F-15 Electronic Warfare Team Lead, 36 Electronic Warfare Squadron, Eglin Air Force Base, Fla.
May 2013 – March 15, M.S. Student, Air Force Institute of Technology, Wright-Patterson AFB, Dayton, Ohio
August 2016 – September 2017, Policy Advisor, White House Office of Science & Technology Policy, National Security & International Affairs Division, Washington, D.C.
March 2015 – August 2018, Autonomous Systems Program Lead, 711th Human Performance Wing, Wright-Patterson AFB, Ohio
August 2018 – September 2021, PhD Student, Air Force Institute of Technology, Wright-Patterson AFB, Dayton, Ohio
September 2021 – June 2022, Deputy Branch Chief, Systems Engineering Branch, Sensors Directorate, Air Force Research Laboratory, Wright-Patterson AFB, Ohio
January 2022 – June 2022, Autonomy & AI Co-Lead, Sensors Directorate, Air Force Research Laboratory, Wright-Patterson AFB, Ohio
June 2022 – June 2023, IDE, Air Command and Staff College, Maxwell AFB, Ala.
June 2023 – Present, Assistant Professor of Computer Science, Department of Computer and Cyber Science, United States Air Force Academy, Colorado
Honors & Awards
Military Decorations
Presidential Service Badge
Joint Service Commendation Medal
Air Force Commendation Medal, Two Oak Leaf Clusters
Awards
2011 Commander’s MVP of the Fourth Quarter – 36th Electronic Warfare Squadron, Eglin AFB, Fla.
2014 Inducted into National Engineering Honor Society Tau Beta Pi (top 20%) – Air Force Institute of Technology, Wright-Patterson AFB, Ohio
2015 Company Grade Officer of the Fourth Quarter – Warfighter Interface Division, Wright-Patterson AFB, Ohio
2016 Company Grade Officer of the Year – Warfighter Interface Division, Wright-Patterson AFB, Ohio
2017 Company Grade Officer of the Year – Airman Systems Directorate, Wright-Patterson AFB, Ohio
2019 Inducted as President into National Engineering Honor Society Eta Kappa Nu (top 20%) – Air Force Institute of Technology, Wright-Patterson AFB, Ohio
2022 Field Grade Officer of the First Quarter – Spectrum Warfare Division, Wright-Patterson AFB, Ohio
Research and Scholarly Interests
Artificial Intelligence
Applications of Machine Learning
Deep Learning
Electroencephalography
Sustained Attention Tasks and the Vigilance Decrement
Publications
Journal Articles and Refereed Conference Papers
Kamrud, Alexander, Brett Borghetti, and Christine Schubert Kabban. “The effects of individual differences, non-stationarity, and the importance of data partitioning decisions for training and testing of EEG cross-participant models.” Sensors 21.9 (2021): 3225.
Kamrud, Alexander, et al. “Generalized deep learning EEG models for cross-participant and cross-task detection of the vigilance decrement in sustained attention tasks.” Sensors 21.16 (2021): 5617.
Gallaher, Joshua P., Alexander J. Kamrud, and Brett J. Borghetti. “Detection and mitigation of inefficient visual searching.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol. 64. No. 1. Sage CA: Los Angeles, CA: SAGE Publications, 2020.
Villarreal, Micah N., Alexander J. Kamrud, and Brett J. Borghetti. “Confirmation Bias Estimation from Electroencephalography with Machine Learning.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol. 63. No. 1. Sage CA: Los Angeles, CA: SAGE Publications, 2019.
Kamrud, Alexander J., et al. “Unified behavior framework in discrete event simulation systems.” The Journal of Defense Modeling and Simulation 14.4 (2017): 471-481.
Other Publications and Presentations
Kamrud, Alexander J. “Advancing Proper Dataset Partitioning and Classification of Visual Search and the Vigilance Decrement Using EEG Deep Learning Algorithms.” (2021).
Kamrud, Alexander J. “Unified behavior framework for discrete event simulation systems.” (2015).