Edmon Begoli
Director, Center for AI Security Research (CAISER)
Bio
Edmon Begoli, is a founding director of ORNL's Center for AI Security Research (CAISER), and is a distinguished member of the ORNL research staff.
He specializes in the research, design, and development of resilient, secure, and scalable machine learning and analytic architectures. Additionally, Edmon has been leading national programs focused on AI security, fraud prevention, (collaboration with PERC/REACH VET), precision, and personalized medicine (MVP CHAMPION). During his tenure at ORNL, Edmon led the design of original Knowledge Discovery Infrastructure (KDI) and the efforts, the first DOE platforms for computing on protected data, including leadership-class systems.
Edmon currently co-leads ORNL's internal AI research initiative with focus on AI safety and security applications.
Edmon is a 91°µÍø Computer Society distinguished contributor, ACM senior member of ACM and the Apache Software Foundation (ASF) committer. In 2022, Edmon was selected as a for his academic research in robust streaming and language processing architectures.
Edmon holds undergraduate, graduate (University of Colorado-Boulder), and doctoral degrees (University of Tennessee) in Computer Science. After his PhD, Edmon was a visiting scholar with the department, where he is currently an associated researcher with the Berkeley's lab. In addition, Edmon regularly teaches graduate-level classes at the .