Research Listing - College

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 arising from metabolic biochemical…

I am an observational/experimental infrared astronomer specializing in instrument development, telescope construction, telescope control and data acquisition systems. My observational programs include studies of comets, novae, supernovae, variable stars, and objects of opportunity.

Energization and loss of relativistic electrons in Van Allen belts

Building on our research utilizing data from the NASA STEREO satellites perigee passes that discovered very large amplitude waves capable of accelerating electrons to MeV energies in fraction of a second, we are using data from the Van Allen Probes satellites to examine dynamics of the Earth’s radiation belts. Our work shows that electron energization can be coherent and rapid rather than stochastic and…

• 3D printing functional materials & devices
• Nanoscale inks
• Biomedical devices
• Bioelectronics
• 3D printed electronics
• Bioprinting

VLSI Research Group

My research focuses on designing energy-efficient, robust, and intelligent integrated circuits and systems. Our main expertise is in building chips but we also collaborate extensively with researchers in materials, devices, algorithms, systems, and signal processing. Over the years, we have transferred several key technologies to the semiconductor industry, including the silicon odometer…

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• Large-scale structural testing
• Finite element analysis of reinforced concrete structures
• Anchoring to concrete

Sun’s group works at the intersection of machine learning, numerical optimization, computer vision, and data science, and our recent focus is to develop the theoretical and computational foundations of machine learning in general and deep learning in particular, as well as apply them to tackle challenging scientific, engineering, and medical problems. 

Research Division
Robotics and Artificial…

Du’s current research focuses on intelligent storage systems, sensor/vehicular networks, and cyber physical systems. His previous research includes high-speed networking, database design, multimedia computing, and CAD for VLSI circuits.

Research Division
Computing Systems

Current Research
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UMN Experts Page

Professor Caverly's research interests include the dynamic modeling and control of aerospace, mechanical, and robotics systems. In particular, he is interested in theoretical developments related to input-output stability, as well as optimal and robust control of linear and nonlinear systems. His applied research focuses on accurate, yet computationally-efficient,…

My research is at the intersection of machine learning, statistics, and signal processing. I like to formulate and address novel research problems that are often inspired by foundational thoughts in statistics, information theory, signal processing, and optimization.  I address those research problems often by establishing new mathematical models, using asymptotic statistics and probability theory, and performing real-world data studies.

As AI rapidly transitions from research labs to…