Yaron Rachlin
Department
of Electrical and Computer Engineering
Starting
July 2007 I will join Accenture Technology Labs in
Co-advised by Pradeep
Khosla, Rohit Negi, and John Dolan.
Research Description:
My
research focuses on information theoretic performance limits for cooperative
sensing systems
that
use noisy sensor measurements to distinguish among an exponentially large
number of
environmental states. Such problems characterize many important applications
including detection and
classification of targets in a geographical area using a network of sensors, and
detecting complex
chemical
substances with a chemical sensor array. I have also worked on fast sensor
fusion algorithms.
These
algorithms are based on the connection between sensor networks and coding in
communications
established in my theoretical work.
Thesis:
Y.
Rachlin, ``On the Interdependence of Sensing,
Accuracy, and Complexity in Large-Scale Detection
Applications,’’ 2007. (pdf)
Conference Papers:
B. Narayanaswamy, Y. Rachlin, R. Negi, and P. Khosla, "The sequential decoding metric for detection
in sensor networks," to appear in Proceedings of
the International Symposium on Information Theory
(ISIT), 2007.
Y. Rachlin, R. Negi, and P. Khosla, ``Temporal
Sensing Capacity,'' in Proceedings of the
Forty-Fourth Annual Allerton Conference on Communication, Control, and
Computing, 2006. (pdf)
Y. Rachlin, B. Narayanaswamy,
R. Negi, J. Dolan, and P. Khosla, ``Increasing Sensor Measurements to
Reduce Detection Complexity in Large-Scale Detection
Applications,'' in Proceedings of
the Military Communications Conference (MILCOM), 2006. (pdf)
Y. Rachlin, R. Negi, and P. Khosla, “On the
Interdependence of Sensing and Estimation Complexity in
Sensor Networks,” in Proceedings of the Fifth
International Symposium on Information Processing in
Sensor Networks (IPSN), 2006. (pdf)
Y. Rachlin, R. Negi, and P. Khosla, “Sensing Capacity
for Markov Random Fields,” in Proceedings
of the International Symposium on Information Theory
(ISIT), 2005. (pdf)
Y. Rachlin, J. Dolan, and P. Khosla, “Efficient
Mapping Through Exploitation of Spatial Dependencies,”
in Proceedings of the International Conference on
Intelligent Robots and Systems (IROS), 2005.
Y. Rachlin, R. Negi, and P. Khosla, “Sensing Capacity
for Discrete Sensor Network Applications,”
in Proceedings of the Fourth International Symposium on
Information Processing in Sensor Networks
(IPSN), 2005. (pdf)
Y. Rachlin, R. Negi, and P. Khosla, “Sensing Capacity
for Target Detection,” in Proceedings of the
Information Theory Workshop (ITW),
2004. (pdf)
Y. Rachlin, J. Dolan, and P. Khosla, “Learning to
Detect Partially Labeled People,” in Proceedings
of the International Conference on Intelligent Robots
and Systems (IROS), 2003.
Journal Paper:
Y. Rachlin, R. Negi, and P. Khosla, ``The
Sensing Capacity of Sensor Networks” submitted (pdf)
Book Chapter:
R. Negi, Y. Rachlin, and P. Khosla, ``The
Sensing Capacity of Sensor Networks,” book chapter in
preparation for Wireless Sensor Networks. Signal Processing
and Communications Perspectives,
Wiley, Edited by A. Swami, Q. Zhao,
Y. Hong, and L. Tong.
Education:
● Ph.D. Electrical and Computer Engineering,
● M.S. Electrical and Computer Engineering,
● B.S. Electrical Engineering, B.S. Mathematics, Virginia
Tech, 2000
Contact Information:
