| dc.description | Dr. Henry Neeman is the Director of the OU Supercomputing Center for Education & Research, a visiting assistant professor in OU's School of Computer Science and a research scientist at the Center for Analysis & Prediction of Storms. He received his B.S. in computer science and his B.A. in statistics with a minor in mathematics from the State University of New York at Buffalo in 1987, his M.S. in CS from the University of Illinois at Urbana-Champaign in 1990 and his Ph.D. 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.
As the Director of the OU Supercomputing Center for Education & Research, Dr. Neeman leads a unique partnership among the OU Department of Information Technology, the OU Vice President for Research, and 23 academic departments from the Colleges of Arts & Sciences, Business, Engineering, Geosciences and Medicine, as well as several research centers, institutes and support organizations. He is also a founding member and de facto chair of the OU High Performance Computing group. In addition to his own teaching and research, Dr. Neeman collaborates with about 20 OU research teams per semester, applying High Performance Computing techniques in fields such as numerical weather prediction, bioinformatics and genomics, data mining, high energy physics, cosmology, nanotechnology, petroleum reservoir management, river basin modeling and 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 titled "Supercomputing in Plain English," 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, scientific visualization, Grid computing and computer science education. | en_US |
