University of Minnesota
Computer Science & Engineering
http://www.cs.umn.edu/

Research Areas

Architectures, Compiler Optimization, and Embedded Systems

Design, development, and use of machine architectures with an emphasis on optimizing for high speed computing.

Faculty: Pen-Chung Yew, Antonia Zhai

Bioinformatics and Computational Biology

Development of computational methods to better categorize, visualize, and model biological data and systems.

Faculty: Daniel Boley, John Carlis, Ravi Janardan, George Karypis, Rui Kuang, Vipin Kumar, Chad Myers

Data Mining, Databases, and Geographical Information Systems

Efficient storage, retrieval, analysis, and visualization of data for analysis and pattern discovery.

Faculty: Arindam Banerjee, Daniel Boley, John Carlis, George Karypis, Vipin Kumar, Mohamed Mokbel, Shashi Shekhar, Jaideep Srivastava

Graphics and Visualization

Data visualization, non-photorealistic renderings, color appearance, and perception in virtual environments.

Faculty: Victoria Interrante, Daniel Keefe, Gary Meyer

High Performance Computing

Development and analysis of parallel algorithms for distributed or multiprocessor systems.

Faculty: George Karypis, Vipin Kumar, Yousef Saad, Jon Weissman

Human Computer Interaction

Effective methods for humans to interact with and use computer technology.

Faculty: Joseph Konstan, John Riedl, Loren Terveen

Networks, Distributed Systems, and Security

Innovative theories, techniques, mechanisms, protocols, and architectures and services to enhance networks, networked multimedia systems, and applications.

Faculty: Abhishek Chandra, David Hung-Chang Du, Tian He, Nick Hopper, Volkan Isler, Yongdae Kim, Stergios Roumeliotis, Jaideep Srivastava, Anand Tripathi, Jon Weissman, Zhi-Li Zhang

Robotics and Artificial Intelligence

Electromechanical systems that move, sense, and act in the world. Multi-agent systems, speech recognition, and machine learning.

Faculty: Arindam Banerjee, Maria Gini, Volkan Isler, Nikolaos Papanikolopoulos, Stergios Roumeliotis, Paul Schrater

Software Engineering and Programming Languages

Critical systems development, software quality and programmer productivity, and programming languages and computational logic.

Faculty: Mats Heimdahl, Gopalan Nadathur, Eric Van Wyk

Theoretical Foundations

Computational learning theory, complexity theory, algorithm and data structure design, geometric computing, cryptography, computational logic, programming languages theory, and matrix computations.

Faculty: Arindam Banerjee, Daniel Boley, Nick Hopper, Ravi Janardan, George Karypis, Yongdae Kim, Vipin Kumar, Gopalan Nadathur, Yousef Saad, Eric Van Wyk
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