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