Imperial College London > Talks@ee.imperial > COMMSP Seminar > Information Exploitation: From Sensor management to Vision Applications

Information Exploitation: From Sensor management to Vision Applications

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  • UserProf. Hamid Krim, ECE Department, North Carolina State University, USA
  • ClockMonday 02 September 2013, 15:30-16:30
  • HouseGabor Seminar Room, 611.

If you have a question about this talk, please contact Lauren E Noto.

Sensors have become ubiquitous and the acquired data overhelming for exploitation. In our overview of our research activities, we first discuss a coordinate-free health management of a sensor network. Specifically, with minimal knowledge about the sensors communication capacity, and in contrast to most existing methods, no coordinate assumption is made to achieve a distributed coordinate-free fault detection, localization and tracking. We exploit the flexibility of computational topology and the efficiency of numerical linear algebra to develop provably correct algorithm to evaluate coverage of a sensor network and failure evolution.

Bio: Hamid Krim (ahk@ncsu.edu) received his BSc. MSc. In EE from University of Washington and a Ph.D. degree in ECE from Northeastern University. He was a Member of Technical Staff at AT&T Bell Labs, where he has conducted research and development in the areas of telephony and digital communication systems/subsystems. Following an NSF postdoctoral fellowship at Foreign Centers of Excellence, LSS /University of Orsay, Paris, France, he joined the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA as a Research Scientist and where he was performing and supervising research. He is presently Professor of Electrical Engineering in the ECE Department, North Carolina State University, Raleigh, leading the Vision, Information and Statistical Signal Theories and Applications group. His research interests are in statistical signal and image analysis and mathematical modeling with a keen emphasis on applied problems in classification and recognition using geometric and topological tools.

This talk is part of the COMMSP Seminar series.

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