Contact information:

moura@ece.cmu.edu

Prof. José M. F. Moura
Dep. of Electrical and Computer Engineering
Carnegie Mellon University
Pittsburgh PA 15213-3890
USA

Ph: +(412)268-6341 Fax:+(412)268-3890

Admnistrative Assistant
Carol Patterson
PH B 15
Ph: +(412)268-7286 Fax:+(412)268-3890

Moura directs the CMU-Portugal Program launched on October 2006. This is a 5 year, over 100 Million dollars program with an aggressive educational and research agenda that partners CMU with 12 Portuguese Universities and Research Institutions. This Program is under the Information and Communications Technologies Institute (ICTI) that he directs. The program provides full tuition scholarships to selected successful candidates both for professional MSc and PhD programs and leads to dual degrees awarded by CMU and a partner University in Portugal.

Moura has been the principal investigator of several Darpa, NSF and other Agencies grants, including the two multi University Darpa research grants (DESA, Discovery and Exploitation of Structure in Algorithms, started in May 2005, and OPAL, Optimized Portable Algorithm Libraries) and of an NSF-ITR (medium size) grant to develop SPIRAL. SPIRAL is an interdisciplinary project in the areas of signal processing, scientific computing, compilers, computer architecture, machine learning, and mathematics, see SPIRAL in the ECE news and in CMU Corporate news. SPIRAL is a new generation of design tools.

It applies algebraic signal processing methods to derive automatically fast SW and HW implementations of DSP algorithms. What this means is that at the click of a button SPIRAL generates automatically for the target machine say a C program for your friendly FFT, DCT, discrete wavelet transform, or FIR filter, to name a few of the possibilities. SPIRAL's claim is that this C program will run on your computer in the ball park of or significantly faster than any other existing C program. In the SPIRAL project, we are also working on generating automatically other types of implementations, e.g., netlists FPGA, for these transforms. These are high quality with respect to other performance metrics (say, area, or power consumption) that are more appropriate for HW implementations. The work on SPIRAL is described in the invited paper SPIRAL: Code Generation for DSP Transforms (pdf), included in the IEEE Proceedings, February 2005 Special Issue on Program Generation, Optimization, and Platform Adaptation, read the Editorial (pdf).

José M. F. Moura is a Professor of Electrical and Computer Engineering at Carnegie Mellon University and, by courtesy, a Professor of BioMedical Engineering. He holds a D. Sc. in Electrical Engineering and Computer Science, M.Sc., and EE degrees all from MIT and an EE degree from Instituto Superior Técnico (IST, Portugal). He is a visiting Professor at MIT (2006-2007). He was a visiting Professor at MIT (1999-2000 and 1984-86), a visiting scholar at USC (Summers of 79-81), and was on the faculty of IST (Portugal).

Moura's research interests are in statistical signal and image processing. He is also working in the new area of network science, with particular emphasis on distributed decision and inference in sensor networks. Current research projects include distributed detection in sensor networks, robust detection and imaging by time reversal, bioimaging, SPIRAL, SMART, and image/video processing. Besides industrial funding, his work is currently sponsored by several Darpa, NIH, and NSF (two medium size ITR) grants, and several industrial grants.

Moura is the President of the IEEE Signal Processing Society (2008-2009). He was Editor in Chief of the IEEE Transactions on Signal Processing and acting Editor in Chief for the IEEE Signal Processing Letters. He was on the Editorial Board of several Journals, including the ACM Transactions on Sensor Networks and the IEEE Proceedings. He was in the steering committee of the IEEE International Symposium on Bioimaging (ISBI) and is on the steering committee of the ACM/IEEE International Symposium on Information Procesing in Sensor Networks (IPSN). He has served on several IEEE Boards including the Press Board, the TAB Periodicals, and the TAB Publications Review Committee, and chaired the TAB Transactions Committee (joining all 80+ IEEE Editors in Chief). He currently serves as Vice-Chair of the IEEE Publications Services and Products Board (PSPB) (2008). He was one of the guest editors of the 2005 February February 2005 Special Issue on Program Generation, Optimization, and Platform Adaptation and co-guest edited the 2004 January Special Issue of the IEEE Signal Processing Magazine on iterative signal processing.

Moura is an IEEE Fellow, an AAAS Fellow, and a corresponding member of the Academia das Ciências of Portugal. He received, in 2000, the IEEE Third Millennium Medal for outstanding achievements and contributions, the 2003 IEEE Signal Processing Meritorious Service Award, in 2006 an IBM Faculty Award, and the 2007 CIT Outsanding Research Award.

He contributes regularly to IEEE publications.

Features

Prof. Moura is the President of the IEEE Signal Processing Society (2008-09) and is Vice-Chair of the IEEE Publications Services and Products Board (PSPB) (2008). Read his editorials in the IEEE Signal Processsing Magazine.

Prof. Moura was awarded with Prof. Pueschel the 2007 CIT Outstanding Research Award. He received in 2006 an IBM Faculty Award.

Moura is the Director at CMU of the Information and Communications Technologies Institute (ICTI) that manages the CMU-Portugal Program, a joint venture between the Government of Portugal and CMU. ICTI is a five year, over 100 Million dollar initiative supported by the Portuguese Science and Technology Foundation (FCT) and several Portuguese Companies, including Portugal Telecom, Siemens Networks, S.A., and NovaBase.

Moura co-founded and co-directs CenSCIR, the Center for Sensed Critical Infrastructure Research, see the ECE news or the CMU press release.

See past news and features.

Professor Moura has taught the junior level 18-396 Signal and Systems course and the graduate courses 18-751 Applied Stochastic Processes and 18-752 Detection, Estimtaion, and Identification. He introduced a new course in Spring 2004, 18-899 Algebraic Signal Processing. In the Fall 2007 he taught the sophomore level 18-202 Mathematical Foundations for Electrical Engineering.

Moura's research includes statistical theory of shape: Shapes provide a rich set of clues on the identity and topological properties of an object. In many imaging environments, the same object appears to have different shapes due to such distortions as translation, rotation, reflection, scaling, or shearing. Also, the correspondence between pixels of different distorted images of the same object is usually unknown. Our work looks at shape invariants and at the geometry of the shape space addressing questions like 'how close are two shapes' or 'how do we morph one shape into another.'

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