Contact Information: Office: Olsson 102G Phone: 434-924-4488 Email: mdevore@virginia.edu Personal Homepage Degree: D.Sc. Electrical Engineering, Washington University in St. Louis

Michael DeVore joined the University of Virginia faculty in 2002. Prior to his arrival he was a Visiting Assistant Professor in the Electrical Engineering Department at Washington University in St. Louis. Before leaving to pursue academia, he managed system integrity and operations support at Amdocs, Inc. Dr. DeVore holds the D.Sc. degree in Electrical Engineering from Washington University in St. Louis, the M.S. degree in Electrical Engineering from the University of Missouri-Columbia, and B.S. Degrees in Electrical Engineering, Computer Engineering, and Mathematics from the University of Missouri-Columbia. He is a member of both IEEE and SPIE.

Research Interests:

Dr. DeVore's research is best summarized by the term "Computer Vision Information Systems." This involves two key elements that are a natural fit, but are seldom seen together:

• Computer Vision: Incorporating imaging and sensor modeling; object shape and reflectance models; automated object recognition; and accuracy and complexity tradeoffs
• Information Systems: Including computational hardware; throughput and performance models; and data representation, movement, and storage

In short, Dr. DeVore's interests lie in computer vision problems in a network-centric domain. Pattern recognition systems are generally reported in the literature as stand-alone systems, but most applications actually involve a complicated environment. Future systems will consist of distributed collections of sensors, processors, databases, and information consumers into a collaborative system for analyzing some theatre of operation. While individual elements from this list have been looked at extensively, there is a dearth of research into several unifying subjects.

Specifically, current research involves the following:

• Automatic object recognition and object pose estimation from radar, electro-optical, and ladar data
• Statistical inference from incomplete models
• Statistical model assessment, representation, and storage
• Statistical shape theory and shape representations
• Performance subject to constraints on data complexity and system resource availability
• Distributed architectures and systems with multiple, simultaneous objectives
• Architectures for high-throughput recognition systems

• Active Computations for Networked ATR Systems - Office of Naval Research
• Prototype System for TeraHertz Spectroscopy of Biological Molecules - W. M. Keck Foundation
• Infrastructure for Persistent Surveillance of a Metropolitan Region - Accenture (WICAT)

Computer Vision Information Systems Laboratory

The Computer Vision Information Systems (CVIS) Laboratory is the research laboratory of Prof. Michael D. DeVore. Research in the laboratory is at the intersection of computer vision systems (image and sensor modeling, object shape and reflectance models, object recognition, accuracy and complexity) and of information systems (distributed hardware and software systems, throughput and performance models, data movement and storage).

Wireless Internet Center for Advanced Technology

The Wireless Internet Center for Advanced Technology (WICAT) is a multi- university R&D center sponsored by the National Science Foundation under its program of Industry/University Cooperative Research Centers (I/UCRC), of which there are about 40. Polytechnic University is the lead institution in WICAT, which also includes Columbia University and the University of Virginia