Johns Hopkins University Applied Physics Laboratory
STH
11100 Johns Hopkins Road
Laurel,
MD
USA
20723
Email:
Anna.Buczak@jhuapl.edu
Biographical Sketch:
2007 - present -- Senior Professional Staff II, Johns Hopkins University Applied Physics Laboratory, Laurel, MD
2005 - 2007 -- Technology Leader, Sarnoff Corp., Princeton, NJ
2002 - 2005 -- Lead Member Engineering Staff, Lockheed Martin, Advanced Technology Laboratories, Cherry Hill, NJ
2001 - 2002 -- Senior Member Research Staff, Philips Research USA, Briarcliff Manor, NY
1994 - 2001 – Principal Scientist, Honeywell, Honeywell Laboratories, Morristown, NJ
Dr. Buczak has worked in the area of pattern recognition since 1994 and in the more narrowly defined area of anomaly detection since 2004. Her research concentrates on artificial intelligence and bio-inspired approaches to anomaly detection. The novel methods she develops perform disease outbreak detection, derive patient care models from medical records, and detect anomalies in various data streams, coming from multiple sensors of various modalities or from counts recorded by biosurveillance systems, such as ESSENCE.
She has served as Program Manager or Principal Investigator on multiple R&D projects, dealing with pattern recognition, anomaly detection, system self-organization, and intelligent agent learning. Her research has been supported by DARPA, CDC, USAMRMC, and ARDA/DTO. From 1998 to 2007 she has been a Co-Chair Artificial Neural Networks in Engineering Conference; she has authored and coauthored over 50 research papers. She has been a Ph.D. dissertation co-adviser and a member on Ph.D. Committees at Rutgers University. Dr. Buczak’s research interests include machine learning with a special emphasis on biologically inspired learning methods, anomaly detection, data mining, and self-organizing and adaptive systems. She is a member of IEEE and ACM.