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BIO |
Michael W. Bigrigg's research is in the interdisciplinary intersection
of of social + communication + information networks. Central has been the theme of data: data security, data integrity, data reliability and large-scale data processing. Applications of this research have been in secure storage systems, software reliability and integrity analysis of data subsystems, the reliability of pervasive sensor networks, and the extraction of social networks from text. Software artifacts from this research include PASIS, FlakyIO, Critter Sensor Network, and AutoMap. The PASIS secure storage system used an information-theoretic approach to provide a cutomizable tradeoff between security, availability, and performance. The FlakyIO framework is a software exception injection engine for the evaluation of I/O failures on software. The Critter device is a pervasive sensor network with routines to overcome data failures. AutoMap is a text mining software used to extract a social network as it appears in the text. His teaching has included traditonal computer science classes as well as the course "Social Implications of Technology", which studies the impact of technology in the areas of reliability, integrity and security. Previous to his current position, Bigrigg was the co-director of the Embedded and Reliabile Information Systems Laboratory in the Institute for Complex Engineered Systems (ICES) at Carnegie Mellon University. Bigrigg is a Project Scientist with the Center for Computational Analysis of Social and Organizational Systems (CASOS) in the Institute for Software Research at Carnegie Mellon University.
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RESEARCH |
My research interests lie in the intersection of systems,
networks, and data. Some recent examples of this has been Computer-Aided Engineering, Reliable Distributed Information Systems, and Pervasive Sensor Networks. Current Projects: Previous Projects:
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WORK |
Project Scientist,
Institute for Software Research Founder, Pervasive Sensors, Inc. Additional Affiliations Previous Affiliations Previous Employment Education
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TEACHING |
CMU College of Engineering 39-605 Engineering Product Design (S03, F03, S04, F04, S05, F05, S06, F06, S07, F07, S08, S10, F10) 39-650 Systems Analysis and Design of Sensor Networks (F03, F04)
Computer Science Department
Computer Science Department
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CONTACT |
Office: 4218 Wean Hall Carnegie Mellon University (412) 268-9802 (office) (412) 268-1744 (fax)
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Last Update: March 2010