Mixed Signal Integration
(Chiang, Fiez, Hanumolu, Liu, Magaña, Mayaram, Moon, Temes, Weisshaar)

This research cluster emphasizes synergistic cooperation and innovation amongst faculty members whose research focuses on various aspects of communication systems. The faculty in this research cluster are involved in system level protocols, system architecture and analysis, and implementation of communication systems as integrated circuits (ICs). IC technology is a key enabler in shrinking large systems into hand-held devices. Faculty expertise includes analog, digital, and RF/microwave circuit design and devices, on-chip interconnect design and modeling, and package modeling including package-level antenna design. An effective top-down simulation and modeling methodology of communication systems is also being emphasized. Our research forms the basis for personal portable communication devices of today and of the future (such as the Dick Tracy watch!)

Computer Graphics and Vision
(Bailey, Lucchese, Metoyer, Todorovic, Zhang)

The Computer Graphics and Vision Group consists of researchers in image processing, computer vision, computer graphics, and machine learning. The primary goals of this group are the analysis, synthesis, understanding, and manipulation of visual data such as images, video sequences, and 3D geometric content. Application areas span a broad range from entertainment to surveillance. The group is actively engaged in image and video editing and enhancement, special effects, 3D interactive content generation, sensor calibration, pattern recognition and object recognition. This research cluster includes the researchers from the Interactive Graphics and Vision Lab (IGVL) as well as overlapping with researchers in the Learning and Adaptive Systems cluster.

End-User Software Engineering
(Burnett, Erwig, Jensen)

The number of end-user programmers in the United States will soon number 20 times as many as the number of professional programmers. Our research group is interested in helping with the dependability of the software these end users create and customize. Toward this goal, we are working on ways to enable systems to collaborate with these users, in a software development paradigm that blends traditionally separate functions -- specification, design, implementation, component integration, debugging, testing, and maintenance -- into tightly integrated, highly interactive environments that work together with users to continually improve dependability. Our research cluster is one of the founders of the EUSES Consortium, a multi-university collaboration interested in the dependability of end-user software, which involves OSU, Carnegie Mellon University, Drexel University, Penn State University, University of Nebraska, and Cambridge University (UK).

Energy Systems
(Brekken, von Jouanne)

The Energy Systems group conducts research related to motors, generators, adjustable speed drives, power electronics, power supplies, power quality, renewables and industrial process equipment and controllers. The work of the Energy Systems group is focused around the Wallace Energy Systems & Renewables Facility (WESRF). With a 750kVA independent utility power supply, comprehensive testbeds up to 300hp, and a 120kVA fully programmable AC source, WESRF has the highest power ratings and is the best equipped university laboratory in the nation, serving industry, utilities and students. Our industrial clients have found WESRF to be an excellent resource for the recruitment of graduates that are well trained and exposed to industry practices.

Intelligent Information Systems
(Bose, Dietterich, A. Fern, X. Fern, Hamdaoui, Lee, Marple, Minoura, Nguyen, Pancake, Raich, Shor, Tadepalli, Todorovic, Wong)

The Intelligent Information Systems (IIS) research cluster works to develop technology, processes, and software to enable effective access to and utilization of overwhelming amounts of information. The IIS cluster works to combine knowledge from database, machine learning, information retrieval, networking and human-computer interaction research to create more intelligent information systems. Core strengths include collaborative filtering, probabilistic modeling, spatial databases, usability engineering, web-based interfaces, and wireless computing.

Learning and Adaptive Systems
(Dietterich, A. Fern, X. Fern, Tadepalli, Wong)

We seek to construct computer systems that can build models of their environments and apply those models to make reliable, rapid decisions. We develop new methods for statistical learning, data mining, and probabilistic reasoning and apply these to problems in environmental monitoring, ecological science, manufacturing engineering, space exploration, robot control, and web-based information systems. Anticipated impacts include cheaper and more accurate environmental monitoring, more cost-efficient factories, and easier access to information on the web.

Materials and Devices
(Conley, Dhagat, Forbes, Jander, Plant, Wager)

The EECS Materials and Devices faculty at Oregon State collaborate extensively in multi-disciplinary research with a variety of colleagues in the Colleges of Engineering and Science. Current research activities include transparent electronics, photovoltaics, intelligent luminescence, low-cost electronics, electroluminescent displays, advanced materials for CMOS, fiber Bragg gratings and strain sensor systems, MECS devices (Microscale Energy, Chemical, and biological Systems), and optical properties of materials. A new program in Applied Magnetics further emphasizes the nanotechnology thrust at OSU. Areas of research include spintronics, biosensing and advanced magnetic materials for future generation communication devices.

Programming Languages
(Budd, Burnett, Erwig)

The research in the programming languages group is concerned with the design and implementation of language features, methods, and tools within various programming paradigms, including object-oriented, functional, and visual languages. Current research projects span a variety of topics, such as tools and methods to support open-source software development, the programming of new multi-core PC architectures, foundations of safe spreadsheet programming, and end-user programming. Moreover, our group develops domain-specific languages in application areas, such as scientific computing, bioinformatics, and for probabilistic programming.