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Andrew Drysdale


Andrew Drysdale is an aerospace engineer at CCDC/DAC, APG, MD.  With 14 years’ experience with the Army, he has focused on modeling and simulation, primarily in methodology development for survivability and vulnerability models.  His previous work includes projects related to helicopter autorotation, buried-blast vehicle response, and blunt-force head trauma.  Mr. Drysdale holds a B.S. in mechanical engineering from the University of Delaware and an M.S. in aerospace engineering from the University of Maryland College Park.

Edmund Zelnio


Edmund Zelnio conducts research in machine-aided target recognition at AFRL.  He is one of the founding members of the Air Force’s target recognition research, establishing and leading the MSTAR program and subsequent efforts both in SAR and other imaging sensors.  He is the recipient of a U.S. Department of Defense Distinguished Civilian Service Award and a fellow of  AFRL.  His interests include automatic target recognition, electromagnetic, machine learning, and SAR imaging techniques.  Mr. Zelnio holds a degree in electrical engineering from Bradley University.

Stephen Rosencrantz

United States Air Force (USAF)

Stephen Rosencrantz is a researcher with United States Air Force (USAF)-relevant roles at a few companies, including the Wright State Research Institute, and has served as an officer in the USAF.  His research specialties include aircraft modeling and analysis, physics-based simulations, high-performance computing, simulated data generation, and software design and production.  Mr. Rosencrantz holds a B.S. in aeronautical engineering from the University of Washington and an M.S. in mechanical engineering from Wright State University. 

Elizabeth Sudkamp


Elizabeth Sudkamp is a research mathematician at AFRL in CAD specializing in model fidelity and instrumentation for multisensor simulation.  Her research interests include creating watertight CAD models, machine learning, target modeling, and measuring data quality.  Ms. Sudkamp holds a B.S. in applied computational mathematics and statistics from the University of Notre Dame.

John Nehrbass

Wright State Research Institute

John Nehrbass is a senior research scientist at the Wright State Research Institute providing expertise in electromagnetic simulation and high-performance computing to the U.S. Air Force.  His research interests include robust computation, electromagnetic simulation fidelity for target recognition algorithm training, and electromagnetic phenomenology.  Dr. Nehrbass holds B.S. and M.S. degrees from Arizona State University and a Ph.D. in electrical engineering from the Ohio State University.

Theresa Scarnati


Theresa Scarnati is a research mathematician at AFRL specializing in SAR automatic target recognition.  Her professional interests include sparsity-based image processing, sensor fusion, SAR image formation and speckle reduction, machine learning, and inverse problems.  Dr. Scarnati holds a B.S. in applied mathematics from the Indiana University of Pennsylvania and an M.A. and Ph.D. in applied mathematics from Arizona State University.

Benjamin Lewis


Benjamin Lewis is a researcher at the AFRL Sensors Directorate specializing in machine learning for synthetic aperture radar target identification.  His professional interests include signal processing, computer vision, machine learning, computational tools, and control engineering.  Mr. Lewis holds B.S. and M.S. degrees in electrical engineering from Brigham Young University.