Instructors

This page provides a list of past and current instructors for the Norbert Wiener Center along with contact information.

John J. Benedetto - Professor Benedetto is the Director of the Norbert Wiener Center and MAIT Program, and a Distinguished Scholar-Teacher of the University of Maryland. He is a professor in the Mathematics Department and in the Applied Mathematics and Scientific Computation Program. He is also the current and founding editor of the Applied and Numerical Harmonic Analysis book series, and founding editor-in-chief of the Journal of Fourier Analysis and Applications.

Ramani Duraiswami - Prof. Duraiswami is a member of the faculty of the department of computer science and of the University of Maryland Institute of Advanced Computer Studies (UMIACS). He directs research at the Perceptual Interfaces and Reality Laboratory (PIRL), and have broad research interests in scientific computing, computer audition, computer vision and machine learning. His recent book (with Dr. Gumerov), Fast Multipole Methods for the Helmholtz Equation in Three Dimensions (The Elsevier Electromagnetism Series) has just been published by Elsevier.

Glenn R. Easley - Dr. Easley received the B.S. degree (with honors) and the M.A. degree in mathematics from the University of Maryland, College Park, in 1993 and 1996, respectively, and the Ph.D. degree in computational science and informatics from George Mason University in 2000. Since 2000, he has been working for System Planning Corporation in the areas of signal and image processing. His research interests include computational harmonic analysis, wavelet analysis, synthetic aperture radar, deconvolution, and computer vision.

Nail Gumerov - Dr. Gumerov is a research associate professor at UMIACS, and a member of the graduate faculty of AMSC. His research interests are broad and include many interdisciplinary areas where mathematical modeling and efficient ways of solution of mathematical problems are crucial. In particular his interests include problems in acoustical and electromagnetic scattering, multiphase fluid mechanics, nonlinear dynamics of bubbles and drops, self organization and their efficient solution via fast and accurate algorithms.

Anton J. Haug - Anton J. Haug is a member of the Acoustical Society of America and the IEEE. He received the B.S. degree from State University of New York at Stonybrook, New York, the MA degree from City University of New York at Queens College, New York, and the Ph.D. from Catholic University of Washington D.C., in 1964, 1968, and 1974, respectively, all in physics. He is currently employed by the MITRE Corporation where he is responsible for a variety of tasks, including the development of a tactical control stimulator for the testing of new submarine tactical control systems, the analysis and development of nonlinear trackers for submarine sonar and distributed sensor systems and the analysis of distributed sensor system models for the Homeland Defense Department. He also has an interest in nonlinear, non-Gaussian estimation techniques for application to problems in complexity theory. For the past thirty five years he has worked in a variety of defense contractor organizations, including the Johns Hopkins University Applied Physics Laboratory, Planning Systems Incorporated, EG&G, Martin Marietta, Intermetrics, and MITRE. His main work focus has been in analysis and development of sonar detection, tracking and classification systems.

Dennis M. Healy - Professor Healy, Principal Scientist of the Norbert Wiener Center, is on the faculty of the Mathematics Department, as well as that of the Applied Mathematics and Scientific Computation Program. He is also an affiliate Professor of Bioengineering. In addition, Professor Healy is a Program Manager for the Microsystems Technology Office of DARPA, and a Research Program Consultant for the National Institute on Alcohol Abuse and Alcoholism (NIAAA) at NIH.

Andy Kebo - Dr. Kebo received his Ph.D. in Mathematics at the University of Maryland in May 2005. His research includes quantum detection, quantum computation, RADAR waveform design, and the theory of frames.

Joseph D. Kolesar - Dr. Kolesar is a graduate Summa Cum Laude from Duquesne University in Pittsburgh, PA in 1997, with a B.S. in Mathematics and a minor in Physics, M.S. in Mathematics from University of Vermont in 1999, and a Ph.D. in Mathematics from UMCP. His research interests have included finite frames, Grassmannian codes, mathematical signal processing, and analog to digital converters. He is currently employed by the U.S. Government as an Applied Research mathematician.