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faculty / staff (collage)
adjunct faculty (title)

David Miller
David Miller


Education
PhD, Computer Science, Yale University

Experience
Professor of Aerospace and Mechanical Engineering
Computer Science Wilkonson Professor of Intelligent Systems

CONTACT
E-mail: dpmiller@ou.edu
Web: faculty-staff.ou.edu/M/David.P.Miller-1/

 

 

 

 

 













Education
PhD, Computer Science, University of Illinois at Urbana-Champaign

Experience
Director, OU Supercomputing Center for Education & Research (OSCER)
Adjunct Assistant Professor of Computer Science
Research Scientist for the Center for Analysis & Prediction of Storms

CONTACT
E-mail: hneeman@ou.edu
Web: hneeman.oscer.ou.edu/

 

 

 

 

 

 


Thomas Ray
Thomas Ray


Education
PhD, Biology, Harvard University

Experience
Professor of Zoology and Computer Science

CONTACT
E-mail: tray@ou.edu
Web: www.his.atr.jp/~ray/

 

 

 

 

 


Dee H. Wu
Dee H. Wu


Education
PhD, Biomedical Engineering, Case Western Reserve University

Experience
Associate Professor of Radiological Sciences
Section Chief of Technological Applications and Translational Research in Radiological Sciences

CONTACT
E-mail: dee-wu@ouhsc.edu
Research: w3.ouhsc.edu/medical-physics/dwu

David P. Miller

RESEARCH INTERESTS

Automated planning, robotics, and communications with automated systems.

BIOGRAPHY

Dr. David P. Miller is Professor of Aerospace and Mechanical Engineering and Computer Science and Wilkonson Professor of Intelligent Systems. He is also the Technical Director of the KISS Institute for Practical Robotics, located in Norman, OK. He received the BA with Honors in Astronomy from Wesleyan University, Middletown Connecticut and the PhD in Computer Science from Yale University, New Haven Connecticut.

Before joining OU, he held research positions with a variety of organizations including the NASA Ames Research Center, the MITRE Corporation, MIT, and JPL. His general research interests are in automated planning, robotics, and communications with automated systems. For several years he concentrated on creating control architectures that produce planful goal-directed behavior out of collections of real-time reflexive routines, and then applying that work to real-world problems. He led a team of researchers at JPL to apply these techniques to planetary rovers which initiated a new class of low-cost planetary missions. This work led to several NASA and JPL awards.

The application area he is currently working with is assistive robotics for people who are mobility impaired. While similar control techniques can be used, and the overarching architecture is the same, this application opens up issues of communications at the task and execution level, and managing the discourse at those different levels between the user and the robot. This work has generated interest from both the robotics and the rehabilitation community.

 

 

 

Henry Neeman

RESEARCH INTERESTS

High performance computing, scientific computing, parallel and distributed computing, structured adaptive mesh refinement, scientific visualization.

BIOGRAPHY

Dr. Henry Neeman is the Director of the OU Supercomputing Center for Education & Research (www.oscer.ou.edu), a visiting assistant professor in the School of Computer Science and a research scientist at the Center for Analysis & Prediction of Storms. He received his BS in computer science and his BA in statistics with a minor in mathematics from the State University of New York at Buffalo in 1987, his MS in CS from the University of Illinois at Urbana-Champaign in 1990 and his PhD in CS from UIUC in 1996. Prior to coming to OU, Dr. Neeman was a postdoctoral research associate at the National Center for Supercomputing Applications, and before that served as a graduate research assistant both at NCSA and at the Center for Supercomputing Research & Development.

The OU Supercomputing Center for Education & Research is a unique   partnership among OU Information Technology, the Vice President   for Research, and 25 academic departments from the Colleges of   Arts & Sciences, Business, Engineering, Geosciences and Medicine.

In addition to his own teaching and research, Dr. Neeman collaborates dozens of research groups, applying High Performance Computing techniques in fields such as numerical weather prediction, bioinformatics and genomics, data mining, high energy physics, seismology, astronomy, nanotechnology, petroleum reservoir management, river basin modeling, water resource management, engineering optimization. He serves as an ad hoc advisor to student researchers in many of these fields.

Dr. Neeman also has taught a series of workshops on High Performance Computing, directed at an audience of undergraduates, graduate students, faculty and staff in not only computer science but also a variety of physical science and engineering fields. Dr. Neeman's research interests include high performance computing, scientific computing, parallel and distributed computing, structured adaptive mesh refinement and scientific visualization.

 

 

 

Thomas Ray

RESEARCH INTERESTS

Evolution, evolution of complexity, evolution in the digital medium, and evolution of differentiation.

BIOGRAPHY

Dr. Thomas S. Ray earned undergraduate degrees in biology and chemistry at Florida State University. He received his Masters and Doctorate in Biology from Harvard University, specializing in plant ecology. He was a member of the Society of Fellows of the University of Michigan at Ann Arbor. In 1981 he joined the faculty of the University of Delaware, School of Life and Health Sciences. In 1993, he received a joint appointment in Computer and Information Science at U. of Delaware, and was appointed to the External Faculty of the Santa Fe Institute. In August of 1993, he joined the new Evolutionary Systems Department at ATR (Advanced Telecommunications Research Institute International) Human Information Processing Research Labs in Japan, as an invited researcher. In August 1998 he became a Professor of Zoology at the University of Oklahoma.

Dr. Ray is a tropical biologist who since 1974 has studied the evolution and ecology of a variety of organisms inhabiting rain forests. His work has focused primarily on the foraging behavior of vines in the family Araceae, however, he has also studied ants, butterflies and beetles. Most of his field work has been conducted in Costa Rica. Since 1982, he has worked principally at Finca El Bejuco biological station located in the lowland rain forests of northern Costa Rica, which he built, and owns and operates. He is actively engaged in rain forest conservation in Costa Rica. He is currently conducting research on evolution in the digital medium.

 

 

 

Dee H. Wu

RESEARCH INTERESTS

Biomedical Imaging Processing, 3D Visualization, Functional and Molecular Imaging, Cancer Clinical Investigation, and Biocommunication and Clinical Informatics.

BIOGRAPHY

Dr. Dee H. Wu is Associate Professor and Section Chief of Technological Applications and Translational Research in the Department of Radiological Sciences at the University of Oklahoma Health Sciences Center, Oklahoma City.

Dr. Wu received s BS in Mathematics, MS in Systems Engineer, and PhD in Biomedical Engineering from Case Western Reserve University; all with high honors. Prior to joining OU, he held research and clinical science positions for Marconi Medical Systems and Philips Medical Systems. He also has held a senior programming position at University Hospitals of Cleveland prior to that. His general research includes fMRI (for the interrogation of brain function), radiation therapy treatment planning/modeling, diagnostic and therapeutic cancer biology, angiogenesis modeling, and clinical investigation. Dr Wu holds 13 patents for inventions that he and colleagues have created in the areas of image processing and data acquisition of medical equipment. His major goals are to facilitate clinical/translational investigation using both his current academic and previous experience as an industrial imaging scientist.

The most recent application area that he is currently working with concerns the development of regional angiogenic imaging biomarkers for cancer. He uses time-based, spectral, and both deterministic and stochastic analysis to improve the selection of preferential first line therapies for cancer. He is also very interested in facilitating physician-to-physician interaction within a hospital and the improvement to the analysis of tomographic understanding of medical imaging modalities (CT, MRI and Ultrasound).

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