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Workshop on Genomic Signal Processing and Statistics (GENSIPS)

The Workshop on Genomic Signal Processing and Statistics is a cooperating conference of the IEEE Signal Processing Society and receives support from DARPA, NSF and the Kenan Institute. Genomic data represents enormous signal processing challenges due to the high variability of the data acquisition process, high dimensionality of the data space, and high complexity of genetic signals.

The workshop will be held at the Holiday Inn Hotel -- Brownstone, Raleigh, NC, in a thriving region known as the Research Triangle which is home to three major Research Universities, hundreds of companies in biotechnology, information technology, communications, computer hardware and software. The Research Triangle is easily accessible from all parts of the U.S. though the Raleigh-Durham International Airport. The beautiful ocean outer banks and the Smoky mountains are within driving distance of the conference venue.

The aim of this two-day workshop is to identify potential areas of collaboration between the biological, statistical, and signal processing communities and to open new avenues of research to address new challenges in genetics by exploiting potential synergies between signal processing, statistics and Genomics and by building on their respective strengths. Such problem areas might include: signal processing and extraction of microarray and gell images; incorporation of accurate image formation models into clustering and classification algorithms; application of communications/signal- processing/image-processing techniques such as array processing and blind equalization; and novel high-throughput hardware/software approaches to large scale genomic computation. This workshop will consist of both invited sessions and contributed sessions. The invited speakers will give tutorial talks on genetics, bioinformatics, and genomic signal processing. There will also be a panel discussion and four plenary sessions.

Co-General Chairs:
Prof. Alfred Hero, Departments of Electrical Engineering and Computer Science, Biomedical Engineering, and Statistics, University of Michigan, Ann Arbor, MI
Prof. G. Tong Zhou, School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA

Technical Program Committee:

Publications Chair:
Prof. Daniel Fuhrmann, Department of Electrical Engineering, Washington University, St. Louis, MO

Local Arrangements:
Prof. Marc Genton, Statistics Department, North Carolina State University, Raleigh, NC

For additional information, please contact Prof. Alfred Hero, Tel. (734) 763-0564; Email: gensips@eecs.umich.edu