21 People Results for the Tag: Noise
Bruce Gluckman
Director of the Center for Neural Engineering; Professor of Engineering Science and Mechanics, of Neurosurgery, and of Biomedical Engineering
The dynamics of neural systems, how group dynamics form or emerge from the coupled dynamics of individual units, and how to measure and interact with these systems.
Dezhe Jin
Associate Professor of Physics
Computational models of neural basis of motor control and learning; theoretical analysis of biological neural networks.
William Hancock
Professor of Bioengineering
The detailed workings of motor proteins and their role in intracellular transport and cell motility.
Ming Tien
Professor of Biochemistry & Molecular Biology
Characterization and biochemical analysis of cellulose synthesis in a variety of organisms. Mechanism and regulation of fungal degradation of lignin. Dissimilatory Iron reduction.
Keith Cheng
Distinguished Professor of Pathology and Laboratory Medicine, of Biochemistry and Molecular Biology, and of Pharmacology
Computational phenomics, image informatics, and "Geometry of Life" based on x-ray histotomography, population, genomic, and functional genomic analyses of complex traits in human and zebrafish; web-based science resources.
Charles Anderson
Co-Director, Center for Biorenewables; Associate Professor of Biology
In vivo imaging of plant cell wall dynamics. Molecular genetic analysis of genes involved in cell growth. Cell wall biosynthesis in dividing cells. Cell wall engineering for sustainable bioenergy production.
Xiaogang Hu
Huck Chair in Neurorehabilitation; Associate Professor of Mechanical Engineering, Kinesiology, and Physical Medicine & Rehabilitation
Neural-machine interface, somatosensory feedback, neural control of biological and bionic hands, neuromuscular disorder.
Stefan Canzar
Associate Professor of Computer Science and Engineering
Algorithmic bioinformatics, computational genomics. We develop algorithms and software for single-cell genomics and spatial transcriptomics data. We use techniques from combinatorial optimization, linear programming, and machine learning.