Paul Gader Bio-sketch.
Paul received his Ph.D. in Mathematics for parallel image processing and applied mathematics research in 1986 from the University of Florida. He worked as a Senior Research Scientist at Honeywell's Systems and Research Center, as a Research Engineer and Manager at the Environmental Research Institute of Michigan (ERIM), and as a faculty member at the University of Wisconsin - Oshkosh, and the University of Missouri - Columbia. He also spent two summers performing research in the Image Processing Research Lab of Eglin Air Force Base and one summer as a visiting faculty fellow at the University of Minnesota Institute for Mathematics and Its Applications program on Signal Processing. Recently, he spent five months as a visiting professor at the Grenoble Institute of Technology, in Grenoble, France. He joined the faculty of the University of Florida Computer and Information Sciences end Engineering in August 2001, serving as Department Chair from 2012-2015. He is currently a visiting professor at the University of California - Santa Barbara.
Paul received his Ph.D. in Mathematics for parallel image processing and applied mathematics research in 1986 from the University of Florida. He worked as a Senior Research Scientist at Honeywell's Systems and Research Center, as a Research Engineer and Manager at the Environmental Research Institute of Michigan (ERIM), and as a faculty member at the University of Wisconsin - Oshkosh, and the University of Missouri - Columbia. He also spent two summers performing research in the Image Processing Research Lab of Eglin Air Force Base and one summer as a visiting faculty fellow at the University of Minnesota Institute for Mathematics and Its Applications program on Signal Processing. Recently, he spent five months as a visiting professor at the Grenoble Institute of Technology, in Grenoble, France. He joined the faculty of the University of Florida Computer and Information Sciences end Engineering in August 2001, serving as Department Chair from 2012-2015. He is currently a visiting professor at the University of California - Santa Barbara.
He performed his first research in image processing in 1984 when he
worked on algorithms for detection of bridges in Forward Looking
Infra-Red (FLIR) imagery. At ERIM and later at the University of
Missouri, he led teams involved in the research and development of
real-time, handwritten address recognition systems for the U.S. Postal
Service. He developed, implemented, and tested image processing, neural
network, and fuzzy set based algorithms for handwritten digit
recognition and segmentation, numeric field recognition, word
recognition and segmentation, and line segmentation.
He has also worked on many other image and pattern analysis problems, including
medical, bio-medical, detection, recognition, classification, image algebra, fuzzy sets, neural networks, and Choquet
integral-based mathematical morphology and information aggregation.
He has actively researched and
developed algorithms for land mine research since 1996. He led teams
that devised and field tested several real-time algorithms for mine
detection. He served as Technical Director of the University of Missouri
MURI on Humanitarian Demining for two years. Past and present landmine
detection projects involve algorithm development for data generated from
hand-held, ground vehicle-based, and airborne sensors, including ground
penetrating radar, acoustic/seismic, IR (emissive and reflective
bands), hyperspectral images in the long-wave, short-wave, near IR,
visible, and ultra-violet bands, and wide-band electro-magnetic
induction. His group, together with his long-time colleagues Professor
Dominic Ho of the University of Missouri and Professor Hichem Frigui of
the University of Louisville, have devised algorithms that have been
implemented in operational explosive object detection systems. One of these systems is featured in the National Geographic Television program entitled "Bomb Hunters: Afghanistan".
He is currently researching algorithmic problems in imaging spectroscopy, a.k.a hyperspectral image analysis. His focus includes robust classifiers and detectors, probabilistic and nonlinear unmixing , and estimating chemical properties of vegetation.
Dr. Gader is a Fellow of the IEEE, was University of Florida Foundation Research Professor, and has over 300 technical
publications, including about 100 refereed journal publications.
Education
- Ph.D., University of Florida, 1986
- M.S., University of Florida, 1983
- B.S., University of Central Florida 1981