Research Listing - College
Note: Faculty who are part of multiple departments and centers may appear more than once.
Displaying 1 - 10 of 973
Data Science
Distinguished University Teaching Professor, Department of Computer Science & Engineering
Boley is known for his past work on numerical linear algebra methods for control problems, parallel algorithms, iterative methods for matrix eigenproblems, inverse problems in linear algebra, as well as his more recent work on computational methods in statistical machine learning, data mining, and bioinformatics. His current interests include scalable algorithms for convex optimization in machine learning, the analysis of networks and graphs such as those…
Department of Electrical and Computer Engineering
Assistant Professor
Quantum Electronic Device Laboratory
My research focuses on investigating novel low-dimensional materials and nanostructures to expand the frontiers of classical nanoelectronics, cryogenic electronics, and quantum technologies. Our research takes a multi-disciplinary approach to address the scalability issue of both CMOS technologies and quantum computing, with the…
- Accepting new graduate research students
Earth and Environmental Sciences
Professor, Department of Earth and Environmental Sciences
My research uses a combination of geophysical approaches (e.g., rock magnetism, paleomagnetism, gravity), material characterization techniques (e.g., scanning and transmission electron microscopy, scanning force microscopy, X-ray diffraction), and field geology methods to critically examine a broad range of scientific problems. These tools enable my group to collaborate with specialists from a variety of disciplines, including the geosciences, anthropology…
- Accepting new undergraduate research students
Data Science Initiative
Regents Professor, Department of Computer Science & Engineering
William Norris Land Grant Chair in Large-Scale Computing
Director, CSE Data Science Initiative
Kumar's current research interests span data mining, high-performance computing, and their applications in climate/ecosystems and health care. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). Kumar's current major research focus is on bringing the power…
Physics
Assistant Professor, School of Physics and Astronomy
- Planetary magnetospheres, auroras, and ionospheres
- Giant planet coupling with their moons and rings
- Solar wind interaction with planetary magnetospheres
- Fundamental space plasma physics: MHD and plasma waves, wave-particle interaction (particle acceleration/heating/scattering), collisionless shock waves (particularly very high Mach number processes)
Data Science
Associate Professor, Department of Electrical and Computer Engineering
Sartori Research Group Site
The underlying theme of my research has been to lay out a path into the future that allows us to continue to reap the benefits of Moore’s law. Toward this goal, my approach has been twofold. First, identify and address the primary bottlenecks that prevent the continuation of benefits from Moore’s law. Second, identify and address the…
Data Science Initiative
Professor, Department of Civil, Environmental, and Geo- Engineering and St. Anthony Falls Laboratory
I am interested in the physical mechanisms governing basic and environmental fluid mechanics. My research activities cover a wide range of scales and phenomena, from geophysical flows down to vortex dynamics and particle-turbulence interactions, and relate to many different environments, e.g. the Utah desert and Alpine glaciers. As an experimentalist I plan to develop novel measuring techniques and statistical tools for data analysis, for both wind tunnel and field work. My research at SAFL…
Physics
Director of Graduate Studies
Professor, School of Physics and Astronomy
Our research is of theoretical and computational nature, and focuses on mesoscale theories of nonequilibrium phenomena in extended systems, with applications to Statistical Mechanics, Soft Matter Physics, and Materials Science. Generically, systems outside of thermodynamic equilibrium involve unstable interfaces and moving topological defects. We develop theories at the mesoscale of the relevant phases, analyze their macroscopic scale asymptotics, and obtain their non equilibrium properties…
Minnesota Institute for Astrophysics
Professor Emeritus, School of Physics and Astronomy
Astronomical polarimetry, Infrared astronomy, Comets and Interstellar Magnetic Fields.
Industrial and Systems Engineering
Assistant Professor, Supply Chain & Operations, Carlson School of Management
- Supply Chain Sustainability
- Product Returns Management
- Online Food and Grocery Delivery
- Statistical Machine Learning
- Game Theory and Optimization