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Jeremy Dawson, Associate Professor, joined the Lane Department of Computer Science and Electrical Engineering in the Fall of 2015. His background is in microelectronics and nanophotonics, and he has extensive experience in complex, multi-domain system integration and hardware system implementation. His current biometrics research efforts are focused on the creation of large-scale biometrics datasets that can be used to evaluate sensor operation and other human factors, as well as apply novel machine learning algorithms to solve human identification challenges.  Dr. Dawson also has extensive experience in micro and nanophotonic sensor platforms. His research in biosensors led to the identification of a need for new signal processing methodologies for DNA systems, which resulted in the first molecular biometrics (DNA) project funded through the WVU Center for Identification Technology Research (CITeR), an NSF IUCRC

Education

• PhD, West Virginia University, 2002
• MSEE, West Virginia University, 1999
• BSEE, West Virginia University, 1997

Research Interests

• Biometric data collection
• Biometric sensor interoperability
• Differential performance in biometric algorithms
• AI and machine learning applied to biometrics
• Nanophotonics
• Nanoplasmonics
• Solid State Lighting

Teaching Interests

• Biometric Systems Engineering
• Digital Electronics
• Fundamentals of Photonics

Professional Societies

• IEEE