Emmanouil “Manos” Papadakis IDIA Emmanouil “Manos” Papadakis Associate professor, Department of Mathematics Co-founder, UH Institute for Digital Informatics and Analysis (IDIA) Manos Papadakis is associate professor with the University of Houston’s (UH) Department of Mathematics, and co-founder of the UH Institute for Digital Informatics (IDIA). Through the IDIA, Dr. Papadakis and his colleagues are developing innovative techniques for harnessing data from images to create multidimensional models for use in medicine, geology and aerospace. Dr. Papadakis’ primary focus is on wavelet analysis using algorithms to overcome the limitations of computers in analyzing images in their original dimensionality. The IDIA’s multi-dimensional data-filtering and post processing technology promises to come as close as possible to replicating human vision, thereby creating a state-of-the-art assistive diagnostic tool for use in cardiac and liver cancer patients as well as in other types of diseases requiring soft tissue imaging. Mentor to a number of undergraduate, master’s, doctoral and post-doctoral candidates, Dr. Papadakis has written and reviewed numerous journal articles and book chapters, and has been an invited speaker at and organizer of conferences worldwide. Dr. Papadakis is a member of the American Mathematical Society and the Greek Mathematical Association. He holds a PhD in Mathematics from the University of Athens.

Manos Papadakis

Research Interests The primary focus of his research is to find ways to eliminate the errors in computer vision applications resulting from the directional preference of software due to the use of one-dimensional filter designs. Dr. Papadakis and his collaborators propose that the best antidote to this is the use of isotropic filtering methods, treating all directions equally and enabling the handling of multidimensional data sets in their original dimensionality. Moreover, coupling these new filtering techniques with state-of-the-art artificial intelligence methods seems to be promising for future breakthroughs in diagnostic medical imaging. Research Projects Strategic collaboration with the Texas Methodist Hospital The aim of this research is to develop new imaging techniques, both abstract and applied, for detecting the vulnerable plaque in coronary and carotid arteries using various modalities, e.g backscattered IVUS of coronary arteries, MRI for carotid arteries or a combination of new generations of contrast agents with PET-scans to assess the present of plaque components only. Research Partners Dr. Papadakis’ research collaborators include the Baylor College of Medicine and the Texas Heart Institute. His is currently collaborating with the Texas Methodist Hospital and he is a member of the Institute for Biomedical Imaging Science. His work is funded by the National Science Foundation, the Texas Learning and Computation Center and Total-E&P USA. *Significant Publications “Non-separable Radial Frame Multiresolution Analysis in Multidimensions” (with G. Gogoshim, D.K. Hoffman, I.A. Kakadiaris, and D.J. Kouri), in Numerical Functional Analysis and Optimization, Vol. 24, pp. 907-928, 2003. “Generalized Frame Multiresolution Analysis of Abstract Hilbert Spaces,” in Sampling, Wavelets and Tomography (J.J. Benedetto and A. Zayed, eds.), Birkhauser, pp. 179-223, 2003. “An Inhomogeneous Uncertainty Principle for Digital Low-Pass Filters” (with B.G. Bodmann and Q. Sun), to appear, J. Fourier Analysis and Applications, 2006. “Analog to Digital, Revisited: Controlling the Accuracy of Reconstruction” (with B.G. Bodmann, A. Melas, and Th. Stavropoulos), to appear in Sampling Theory in Image and Signal Processing, 2006. “Hermite Distributed Approximating Functionals as Almost-Ideal Low-Pass Filters” (with B.G. Bodmann, D. K Hoffman, and D. J. Kouri), to appear in Sampling Theory in Image and Signal Processing, 2006.