Research

The University of Minnesota is a top research institution with high academic standards. All faculty in the Computer Science and Engineering Department manage an active lab in which graduate and undergraduate students conduct research publishable at the international level. Collaboration is encouraged prompting several cooperative labs and/or projects among faculty both within and outside the Department. Minnesota has a very strong technology industry providing further opportunity for collaboration and funding.

As detailed below, the faculty conduct research across a broad range of subdisciplines of computer science. Funding, garnered from government, military, industry, and internally, has increased steadily to more than $6.7 million per year. Approximately 350 graduate students conduct research with one of the 39 departmental faculty of their choosing. Undergraduates are also welcome to participate. Approximately 20 students per year work on their own research projects through the UROP or the NSF Research Experiences for Undergraduate programs under faculty supervision.

In addition to each of the faculty managed research labs, computer facilities include 10 student labs with over 250 machines, ubiquitous wireless Internet, and access to resources at the Supercomputing Institute. All departmental computers are managed by a full-time systems staff. Library facilities are state-of-the-art and include a broad collection of digital libraries.

Research Areas

The following is a broad category list of research areas within the department. Each link will provide a more detailed description including faculty, labs, projects, and centers affiliated with each research area.

• Architectures, Compiler Optimization, and Embedded Systems
• Bioinformatics and Computational Biology
• Data Mining, Databases, and Geographical Information Systems
• Graphics and Visualization
• High Performance Computing
• Human Computer Interaction
• Networking, Distributed Systems, and Security
• Robotics and Artificial Intelligence
• Software Engineering and Programming Languages
• Theoretical Foundations