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Jennifer Rogers, Ph.D., M.E., Lieutenant Commander, USCG

Electrical Engineering, Cyber Systems, Assistant Professor Department of Electrical Engineering and Computing

LCDR Jennifer Rogers graduated from the U.S. Coast Guard Academy in 2008 with a B.S. in Electrical Engineering and served as an engineer aboard USCGC MIDGETT in Seattle, WA, completing law enforcement and counterdrug patrols in the Eastern Pacific. As part of the Coast Guard Post Graduate Training Program, she earned an M.S. in Electrical and Computer Engineering with a focus on Communications and Signal Processing from Northeastern University in 2012.

Following her graduate studies, LCDR Rogers supported Coast Guard communications systems, overseeing mobile contingency communications assets that provide the Coast Guard and Other Government Agencies with command, control and communications capabilities during emergency and surge operations. Since 2015, she has been a faculty member at the Coast Guard Academy, first as a rotating military faculty, then as a reservist pursuing her Ph.D., and now as a permanently assigned officer. In 2024, she earned a Ph.D. in Electrical Engineering from the University of Rhode Island, focusing on data augmentation for smart grid anomaly detection.

Education

  • Ph.D., Electrical Engineering, University of Rhode Island
  • M.E., Electrical Engineering, Northeastern University
  • B.S., Electrical Engineering, United States Coast Guard Academy

Teaching and Research Interests

  • Power Grid Vulnerabilities
  • Digital Signal Processing (DSP)
  • Machine Learning applications to sensor data

Courses Taught

  • Electrical Engineering I
  • Principles of Electronic Communication Systems
  • Computer Communications and Networks
  • Digital Signal Processing
  • Capstone Design

Selected Publications

  • J. Rogers, W. Danilczyk, H. Lin and Y. L. Sun, “Learning from Future: Prediction-based Data Augmentation to Enhance Power Grids Fault Detection,” 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2023, pp. 32-37, doi: 10.1109/SEGE59172.2023.10274545.
  • J. Rogers, W. Danilczyk, H. Lin and Y. L. Sun, “Prediction-based Data Augmentation for Line Outage Detection,” 56th North American Power Symposium (NAPS), El Paso, TX, 2024.

Contact Information

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