School of Engineering
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Michael V. McConnell, MD, MSEE
Professor of Medicine (Cardiovascular) at SUMC and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsImaging and prevention of cardiovascular disease:
My imaging research has involved clinical and molecular Imaging of cardiovascular disease, with a focus on coronary and vascular diseases, including atherosclerosis, aortic aneurysms, and vascular inflammation.
My prevention research has involved innovative technologies to reduce coronary and vascular disease, including early disease detection plus leveraging mobile health to enhance heart-healthy activities in patients and populations.
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
BioManning works on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language, statistical natural language processing, information extraction, text mining, robust textual infererence, statistical parsing, grammar induction, constraint-based theories of grammar, and computational lexicography.
Associate Professor of Materials Science and Engineering and of Photon Science
BioMelosh's research is focused on developing methods to detect and control chemical processes on the nanoscale, to create materials that are responsive to their local environment. The research goal incorporates many of the hallmarks of biological adaptability, based on feedback control between cellular receptors and protein expression. Similar artificial networks may be achieved by fabricating arrays of nanoscale devices that can detect and influence their local surroundings through ionic potential, temperature, mechanical motion, capacitance, or electrochemistry. These devices are particularly suited as smart biomaterials, where multiple surface-cell interactions must be monitored and adjusted simultaneously for optimal cell adhesion and growth. Other interests include precise control over self-assembled materials, and potential methods to monitor the diagnostics of complicated chemical systems, such as the effect of drug treatments within patients.
Molecular materials at interfaces
Directed dynamic self-assembly
Controlling molecular or biomolecular assembly and behavior
Influence of local electronic, optical or thermal stimuli
Franklin P. and Caroline M. Johnson Professor in the School of Engineering
BioMoin is the founding director of the Center for Turbulence Research. Established in 1987 as a research consortium between NASA and Stanford, Center for Turbulence Research is devoted to fundamental studies of turbulent flows. Center of Turbulence Research is widely recognized as the international focal point for turbulence research, attracting diverse groups of researchers from engineering, mathematics and physics.
Professor Moin pioneered the use of direct and Large Eddy Simulation techniques for the study of turbulence physics, control and modelling concepts and has written widely on the structure of turbulent shear flows. His current interests include: interaction of turbulent flows and shock waves, aerodynamic noise and hydroacoustics, aerooptics, combustion, numerical analysis, turbulence control, large eddy simulation and parallel computing. He is an Editor of the Annual Review of Fluid Mechanics and Associate Editor of Physics of Fluids, Journal of Computational Physics.
Rick and Melinda Reed Professor in the School of Engineering and Senior Fellow, by courtesy, at the Precourt Institute for Energy
BioMcIntyre's group performs research on nanostructured inorganic materials for applications in electronics, energy technologies and sensors. He is best known for his work on metal oxide/semiconductor interfaces, ultrathin dielectrics, defects in complex metal oxide thin films, and nanostructured Si-Ge single crystals. His research team synthesizes materials, characterizes their structures and compositions with a variety of advanced microscopies and spectroscopies, studies the passivation of their interfaces, and measures functional properties of devices.
Professor of Materials Science and Engineering and Senior Fellow, by courtesy, at the Precourt Institute for Energy
BioMike McGehee's primary research interests are developing new materials for smart windows and solar cells. He has taught courses on nanotechnology, nanocharacterization, organic semiconductors, polymer science and solar cells. He received his undergraduate degree in physics from Princeton University and his PhD degree in Materials Science from the University of California at Santa Barbara, where he did research on polymer lasers in the lab of Nobel Laureate Alan Heeger. He won the 2007 Materials Research Society Outstanding Young Investigator Award. He is a technical advisor to Next Energy, PLANT PV, and Sinovia and his former students have started more than ten companies.
Professor of Computer Science
BioMazieres investigates ways to improve the security of operating systems, file systems, and distributed systems. In addition, he has worked on large-scale peer-to-peer systems and e-mail privacy.
Mary and Gordon Crary Family Professor in the School of Engineering, Vice Provost for Teaching and Learning and Professor, by courtesy, of Electrical Engineering and of Education
BioComputer security: access control, network protocols, and software system security. Programming languages, type systems, object systems, and formal methods. Applications of mathematical logic to computer science.
Obayashi Professor in the School of Engineering and Senior Fellow, by courtesy, at the Woods Institute for the Environment
Current Research and Scholarly InterestsHydrodynamics of lakes, estuaries, coral reefs, kelp forests and the coastal ocean
Professor of Electrical Engineering and of Statistics
BioI am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
I am also working on applications of these techniques to healthcare data analytics.