2011-12 General Catalog

Baskin School of Engineering
335 Baskin Engineering Building
(831) 459-2158
http://www.soe.ucsc.edu

Program Description |  Course Descriptions

---

Faculty and Professional Interests

Professor

Nicholas Brummell  

Fluid dynamics; magnetohydrodynamics; numerical simulations of geophysical and astrophysical dynamics, especially solar interior physics; supercomputing

David Draper 

Bayesian statistics, hierarchical modeling, Bayesian nonparametric methods, model specification and model uncertainty, quality assessment, risk assessment, statistical applications in the environmental, medical, and social sciences

Herbert Lee  

Bayesian statistics, computer simulation experiments, spatial statistics, inverse problems, model selection and model averaging, nonparametric regression, neural networks, classification and clustering

Marc Mangel, Distinguished Professor of Applied Mathematics and Statistics
Program Director, Information Systems Management 

Mathematical modeling of biological phenomena, especially quantitative issues in fishery management; mathematical and computational aspects of aging and disease; impact of technology on biological systems

Raquel Prado  

Bayesian non-stationary time series modeling, multivariate time series, biomedical signal processing and statistical genetics

Bruno Sansó 

Bayesian spatio-temporal modeling, environmental and geostatistical applications, modeling of extreme values, statistical assessment of climate variability

Hongyun Wang  

Single-molecule studies and biophysics, statistical physics, stochastic processes and stochastic differential equations, classical analysis; numerical analysis

Associate Professor

Pascale Garaud 

Astrophysical and geophysical fluid dynamics, magnetohydrodynamics; analytical and numerical solutions of partial differential equations related to these phenomena

Athanasios Kottas

Bayesian nonparametrics, analysis of computer model experiments, mixture models, modeling and inference for point processes, quantile regression, survival analysis, applications in ecology and engineering

Abel Rodríguez

Bayesian nonparametrics, Bayesian time series and spatial models, machine learning, document modeling, public health, financial econometrics, structural proteomics, genomics

Assistant Professor

Qi Gong

Computational methods for real-time control systems, trajectory optimization and motion planning, nonlinear filtering and observer design, robust and adaptive control of nonlinear systems, industry applications of control theory

Dejan Milutinović

Stochastic dynamical systems and statistical signal processing, multi-agent systems/robotics, systems biology/immune system, optimal control, hybrid and discrete event systems

Associate Adjunct Professor

Daniel Merl

Cyber security, computational methods for analyzing large-scale data, large-scale bioinformatic analyses, semiparametric mixture models, computational pragmatism

Robin Morris

Bayesian analysis of scientific data, with applications in Earth remote sensing, particle and astroparticle physics, signal processing and engineering

Timour Radko

Physical oceanography and geophysical fluid dynamics. Particular subjects include the dynamics of mesoscale jets and vortices, general circulation of the ocean, double diffusive convection, wave motion

Adjunct Professor

Yuefeng Wu, Visiting Assistant Professor

Nonparametric Bayesian analysis, Bayesian asymptotic, minimum disparity estimator, dynamic system inference, functional data analysis, limit theorems in probability

Assistant Adjunct Professor

Eric Anderson

Statistical methods in fisheries management and ecology, parentage inference, inference of species hybrids, genetic stock identification

Lecturer

Yonatan Katznelson

Number theory

Bruno Mendes

Parameter and model uncertainty in geophysics and groundwater contamination modeling, Bayesian statistics, parallel computation

♦ ♦ ♦

William Dunbar (Computer Engineering)

Theory and application of feedback control, single-molecule biophysics, nanopore sensors, dynamics and control of biomolecules

Gabriel Elkaim (Computer Engineering)

Embedded systems; robust software architectures for real-time reactive systems; sensor fusion; guidance, navigation, and control (GNC) system identification; robust and advanced control schemes; feedback control systems; robotics; unmanned autonomous vehicles (UAVs); and cooperative control

Andrew T. Fisher (Earth Sciences)

Hydrogeology, crustal studies, coupled flows, modeling

Gary A. Glatzmaier (Earth Sciences)

Computer simulation of geodynamics and planetary dynamics

David Haussler (Biomolecular Engineering; Distinguished Professor of Biomolecular Engineering; Investigator, Howard Hughes Medical Institute; Director, Center for Biomolecular Science and Engineering; Scientific Co-Director, California Institute for Quantitative Biosciences [QB3])

Molecular evolution, neurodevelopment, genomics, bioinformatics, computational molecular biology, statistical models, machine learning, neural networks

David P. Helmbold (Computer Science)

Machine learning, computational learning theory, analysis of algorithms

Roberto Manduchi (Computer Engineering)

Computer vision and sensor processing, with application to assistive technology for the visually impaired

Richard Montgomery (Mathematics)

Celestial mechanics, differential geometry, gauge theory, mechanics (quantum and classical), and control theory

Katia Obraczka (Computer Engineering)

Computer networks, distributed systems, operating systems, Internet information systems, mobile computing, wireless networks

Hamid Sadjadpour (Computer Engineering)

Wireless communication systems, network information theory and scaling laws, performance analysis of wireless ad hoc and sensor networks, routing and MAC protocol design for wireless networks

Manfred Warmuth (Computer Science)

Online learning, machine learning, statistical decision theory, game theory, analysis of algorithms

Peter Young (Physics)

Condensed matter theory, statistical mechanics

Yi Zhang (Technology and Information Management)

Information retrieval, knowledge management, natural language processing, machine learning

Revised: 8/13/12