Professor Edward Raff
Department of Computer Science and Electrical Engineering
College of Engineering and Information Technology
He/Him/His/Himself
About
Edward Raff leads Booz Allen’s machine learning research group and supports clients in developing new ML solutions. His research includes cybersecurity, adversarial machine learning, fairness and ethics, fingerprint biometrics, and high-performance computing. In his spare time, he is the author of the JSAT machine learning library. He received his BS and MS in Computer Science from Purdue University and his Ph.D. in CS from UMBC. Dr. Raff is a Nvidia Deep Learning certified instructor, and Visiting Professor at UMBC.Research interests
Machine LearningDeep Learning
Data Science
Artificial Intelligence
Cybersecurity
Malware Detection
Malware Analysis
Adversarial Machine Learning
High Performance Computing
Reproducibility
Biometrics
Fairness in ML
Information Retrieval
Teaching interests
Machine LearningDeep Learning
Artificial Intelligence
Education
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Ph D, Computer Science
— University of Maryland, Baltimore County (2018) Malware Detection and Cyber Security via Compression
- MS, Computer Science — Purdue University (2013)
- BS, Computer Science — Purdue University (2012)