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Computer Engineering
Software and Machine Intelligence
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Research in this area includes software engineering, artificial intelligence (AI), computer vision, and biomedical engineering. Software engineering has been applied to large-scale projects, such as monitoring and control of power distribution systems over wide geographic regions.
Research in AI
has included aspects of pattern recognition, machine learning, genetic algorithms, natural language processing, and autonomous vehicle navigation. Some of this work focuses on the automatic synthesis of digital systems directly from English-language descriptions. Additional work is being done on automatic extraction of knowledge bases from documents for simulation models and decision support.
Computer vision
refers to the analysis of images and video sequences, often with an emphasis on the interpretation of three-dimensional scenes. Examples of current projects include human face recognition, industrial inspection, and content-driven image compression.
Biomedical engineering
research includes the development of specialized sensors, imaging systems, and image-analysis techniques for the modeling and detection of internal organs and tissue. One emphasis of this work is to assist with clinical evaluation.
Research groups:
Recent news items on software and machine intelligence:
- Software design courses boost corporate operations (April 2004)
- $5+ million Bioinformatics Research Effort Analyzing Molecular Signatures of Tumors (Winter 2004)
- Fighting Disease With Algorithms (April 2003)
- Using Wavelets to Depict Hawaii's Ridges (April 2003)
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Faculty Members Conducting Research in Software & Machine Intelligence
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Research Groups & Laboratories
Automated Design Research Group (website)
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The goal of automatic design is to construct behavioral models of digital systems automatically from specifications expressed in controlled English. Model Extraction is the automatic construction of behavioral engineering models from natural language descriptions, such as U.S. Patents and product descriptions.
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Computational Bioinformatics and Bioimaging Laboratory (CBIL) (website)
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In pursuing technological innovations, we study machine learning, neural networks, pattern recognition, multivariate & information visualization, integrative intelligence, functional & molecular imaging, image processing & analysis, computer graphics, and computer vision. In pursuing scientific discoveries, we investigate molecular analysis and personalized treatment of human diseases (cancer, muscle, type II diabetes, brain) via microarray gene expression profiling & data analysis, discovery of gene regulatory networks, systems approach for molecular imaging of cancer therapy. (Alexandria Research Center)
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BioImaging Systems Laboratory (contact)
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Delving into bioimaging issues, including image reconstruction and analysis, biomedical imaging, algorithms, wave propagation, and robotic applications in medicine. (Blacksburg Campus)
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Computer Vision Laboratory (website)
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Computer Vision is concerned with extracting information from digital images. This may involve such tasks as object recognition, visual tracking, depth perception, or 3-D shape estimation. Applications include defect detection for factory automation, autonomous vehicle control, and human face recognition for security.
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