Classical and quantum computing
Frederic Green explores the intrinsic power and limitations of classical and quantum computers.
Our students and faculty love to solve problems. Give them a problem, and they’ll break it down, consider the possibilities, and then jump in. An example: How can you use technology to promote food sustainability on a college campus? A team of students researched the issue, then developed a platform for community members to share excess food, with the goal of decreasing waste and cutting costs.
Automated testing of student programming? Improving accessibility for people with disabilities? Our students delve into research topics that make a difference right here on campus — and beyond.
Our faculty are connected to the latest trends in computing practices and research. If you are interested, they will find a way for you to get involved in projects and gain hands-on experience.
Frederic Green explores the intrinsic power and limitations of classical and quantum computers.
Frederic Green explores the intrinsic power and limitations of classical and quantum computers.
Li Han is studying complex systems with physical constraints, such as robots or proteins, using principles from planning motion, topology, and linear programming.
Li Han is studying complex systems with physical constraints, such as robots or proteins, using principles from planning motion, topology, and linear programming.
John Magee’s primary research interests include computer vision, human-computer interaction, accessible computing, and assistive technology. He investigates novel user interface technologies that enable people with profound disabilities to communicate and participate socially in the world around them through computers. His major focus area is ability-based interfaces that change and adapt to provide for the diverse education, communication, and social needs of users of all abilities. He is also interested in applying computer vision and human-computer interaction techniques to interdisciplinary problems and establishing collaborations with biology, geographic information systems (GIS), psychology, and education.
John Magee’s primary research interests include computer vision, human-computer interaction, accessible computing, and assistive technology. He investigates novel user interface technologies that enable people with profound disabilities to communicate and participate socially in the world around them through computers. His major focus area is ability-based interfaces that change and adapt to provide for the diverse education, communication, and social needs of users of all abilities. He is also interested in applying computer vision and human-computer interaction techniques to interdisciplinary problems and establishing collaborations with biology, geographic information systems (GIS), psychology, and education.
Kenneth Basye has extensive research and industry experience in artificial intelligence and speech recognition.
Kenneth Basye has extensive research and industry experience in artificial intelligence and speech recognition.
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