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William Cook -- Reversible computation (demo)
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T.J. Green -- Error correction in quantum computing
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Keith Grochow -- Using neural networks to control physical systems
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Scott Jeffus -- The DES algorithm and its vulnerability to cracking with DNA computers
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Doug Johnson -- Image pre-processing in the eye and its relation to neural networks
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Junko Kawabata -- Relating specific brain structures to network models of learning
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Hans Kieserman -- Comparing different implementations of quantum computers
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Violita Kovchegov -- Adiabatic computation
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Harish Kulkarni -- 3D protein folding & computing
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Gary Lau -- Error correction in DNA
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Mat Martineau -- Single electron transistors/quantum dots
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Sid Maxwell -- Evolving neural networks using genetic algorithms
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Edward Melomed -- Data compression: classical and neural
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Adam Millard -- Data compression: classical and DNA
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Diane Moore -- Comparing quantum and classical information theory
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Joe Mullally -- Quantum/classical data compression
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Nathan Nesbit -- Molecular memory storage
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Jared Reimer -- Nanotech/self-assembly
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Jill Reinauer -- Relating SOMs or other learning algorithms to development of sensory maps
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Scott Roberts -- Analysis/demo of quantum cryptography
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Chris Shreve -- Quantum communication
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Karthik Swaminathan -- Quantum computing in optical networks
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Greg Taleck -- Survey of adaptive computing using alternative computing systems
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Alfian Tan -- Using neural networks to analyze Web server logs
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Mike Warning -- Reversible computation
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Tim Watson -- Evolving neural topologies