Robotics Research Faculty and students at the University are working to bridge the gap between intelligent systems that work in the lab and how robots can aid real people in the real world.
Robotics Research
2014: A Very Productive Year This past year was a banner year for our faculty receiving awards; these ranged from fellow distinctions to young researcher honors and more; five faculty in the CSE department — all in different stages of their careers — received such recognition.
2014: A Very Productive Year
Notre Dame Researchers Scoring a Win-Win with Novel Set of Concussion Diagnostic Tools The potential impact on the health and well-being of individuals with brain injuries are numerous. These individuals might display a range of symptoms — such as headaches, depression, loss of memory and loss of brain function — that may persist for weeks or months. The effects of brain injuries are most devastating when they remain unrecognized for long periods of time.
Notre Dame Researchers Scoring a Win-Win with Novel Set of Concussion Diagnostic Tools
Medical Imaging Technologies: Views to a Cure Emerging imaging technologies are being used to improve the quality of images available for more accurate diagnoses and treatment, assess radiation dosing, and find causes and cures for a variety of diseases.
Medical Imaging Technologies: Views to a Cure
Much More than a Game: New Applications for the Wii The question asked of computer science and engineering students taking an innovative course in Wii programming was, “Can we leverage the low-cost nature of the Wii Balance Board with custom software to deliver a better, objective balance rehab for victims of stroke?” The answer was, “yes.”
Much More than a Game: New Applications for the Wii
Notre Dame Computer Vision Experts Develop “Questionable Observer Detector” A team biometrics experts from the Department of Computer Science and Engineering is developing a crime-fighting tool that can help law enforcement officials identify suspicious individuals at crime scenes.
Notre Dame Computer Vision Experts Develop “Questionable Observer Detector”
Tracking Mind Wandering During Reading Mind wandering and zoning out are common phenomena that people experience while performing a range of everyday activities including reading. We are developing systems that automatically detect when a person is mind wandering by tracking patterns in their eye movements during natural reading.
Tracking Mind Wandering During Reading
Network Biology: Computational Approaches for Understanding the Cell The Complex Networks Lab develops novel computational methods for network analysis and uses them to study cellular functioning and molecular causes of disease from biological networks, in hope to suggest novel candidates for therapeutic intervention.
Network Biology: Computational Approaches for Understanding the Cell

Welcome to the Department of Computer Science and Engineering

Teaching and research efforts in the department encompass algorithms and theory; computer vision, artificial intelligence, and data mining; bioinformatics and computational biology; security; Web services; computer architectures; software engineering; and distributed systems and grid computing.

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What most schools don't teach
  • What most schools don’t teach, a video by code.org

    A video by code.org

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Notre Dame to Offer Free Course on Understanding Wireless
Notre Dame to Offer Free Course on Understanding Wireless
May 15, 2015

The University of Notre Dame will offer its second MOOC (massive open online course) on edX, titled Understanding Wireless: Technology, Economics and Policy, beginning on Monday (May 18). A survey-style course that offers an opportunity to gain understanding of the technical, regulatory and economic aspects of the mobile wireless revolution and its impact on society, the course is entirely free and open to everyone.

Professor Chen Receives NIH Research Grant to Study Brain Metastases of Breast Cancer
Bosch and D'Mello IUI 2015 Paper Receives Honorable Mention
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David Chiang

David Chiang

VIEW FULL PROFILE Email: dchiang@nd.edu
Phone: 574-631-9441
Website: http://www.nd.edu/~dchiang/
Office: 326D Cushing Hall

Affiliations

College of Engineering Associate Professor
Natural language processing, machine learning, and digital humanities.
Click for more information about David

David Chiang

Natural language processing, machine learning, and digital humanities.
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