Bio
Aggelos Katsaggelos is Professor and AT&T Chair in the EECS Department at Northwestern University. He also runs the Image and Video Processing Laboratory (IVPL), whose objective is to generate cutting-edge research results in the fields of multimedia signal processing, multimedia communications, and computer vision. IVPL works in a variety of problems (e.g., recovery, compression, segmentation, and speech and speaker recognition) and applications areas (e.g., medical, multi-spectral, and astronomical image processing). Dr. Katsaggelos is a Fellow of the IEEE (1998) and SPIE (2009), the co-inventor of seventeen international patents, the recipient of the IEEE Third Millennium Medal (2000), the IEEE Signal Processing Society Meritorious Service Award (2001), the IEEE Signal Processing Society Technical Achievement Award (2010), and co-author of several award-winning papers.
Dr. Katsaggelos received his Ph.D. in Electrical Engineering under the supervision of Dr. Ronald W. Schafer at the Georgia Institute of Technology in 1985. He received his M.S. in 1981 also at the Georgia Institute of Technology. As an undergraduate student, Dr. Katsaggelos studied electrical and mechanical engineering at the Aristotelian University of Thessaloniki in Thessaloniki, Greece until he received his B.S. in 1979.
Research Interests
- Multimedia Signal Processing
- Image and Video Processing
- Computational Vision
- Computer Vision
- Machine Learning
- Pattern Recognition
- Multimedia Communications
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Courses Developed/Taught
Northwestern University
- ECE 222: Fundamentals of Signals and Systems
- ECE 420: Digital Image Processing
- ECE 421: Multimedia Signal Processing
- ECE 435: Deep Learning Foundations from Scratch
- ECE 375/475: Machine Learning: Foundations, Applications, and Algorithms
- ECE 395/495: Optimization Techniques for Machine Learning and Deep Learning
- ECE 395/495: Deep Reinforcement Learning from Scratch
Coursera
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Professional Activities
- Editor-in-Chief, IEEE Signal Processing Magazine, 1997-2002
- Member, Board of Governors, IEEE Signal Processing Society, 1999-2001
- Member, Publication Board, IEEE Signal Processing Society, 1997-2002
- Member, IEEE TAB Magazine Committee, 1998-2002
- Member, IEEE Signal Processing Society Awards Board, 2014-2016
- Member, Scientific Board, Centre for Research and Technology Hellas-CE.R.T.H., 2000
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Selected Talks
- A deep symmetry convnet for stroke lesion segmentation, IEEE International Conference on Image Processing, Phoenix, AZ, Sept. 25-28, 2016
- Compressive Sensing: A Tutorial, invited talk, Video Coding and Emerging Trends, 4th PROVI- SION Workshop, Fraunhofer HHI, Berlin, Germany, Feb. 9, 2017
- Machine Learning Approaches for Solving Inverse Imaging Problems, invited talk, Huawei Strategy and Technology Workshop, Shenzhen, China, May 17, 2017
- Machine Learning Approaches for Solving Inverse Imaging Problems, keynote talk, European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug. 29, 2017
- Visualization of feature evolution during convolutional neural network training, European Signal Processing Conference (EUSIPCO), Rhodes, Greece, Aug. 28 – Sept. 2, 2017
- Hidden Intentions: Hyperspectral Data Fusion of Picasso’s Blue Period Paintings, AAAS Annual meeting, Austin, TX, Feb. 17, 2018
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Consulting
- Tech Consultant, Ameritech, Tech Corporate Partners Program
- Space Telescope Science Institute, Baltimore, Maryland
- Siemens Gammasonics, Chicago, Illinois, Erlangen, Germany
- Motorola, Corporate Systems Research Labs, Schaumburg, Illinois
- Argonne National Laboratory
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Research Funding
The work of Dr. Katsaggelos has been or is currently funded by the following:
- Northwestern University
- National Science Foundation (NSF)
- National Institute of Health (NIH)
- Department of Defense
- Motorola
- Ameritech
- Siemens
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Awards, Recognition, and Publicity
- Fellow, OSA 2018
- Fellow, EURASIP 2017
- First Prize, Computer in Cardiology Challenge 2017, for the paper “Detection of Atrial Fibrillation in ECG Hand-held Devices using a Random Forest Classifier”, co-authored by M. Zabihi, A. Bahrami Rad, S. Kiranyaz, and M. Gabbouj
- Runner-up, Computer in Cardiology Challenge 2016, for the paper “Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation”, co-authored by M. Zabihi, A. Bahrami Rad, S. Kiranyaz, and M. Gabbouj
- Third Prize, International IEEE EMBS Conference for the Brain Computer Interface Challenge at Neural Engineering, Montpellier, France, April 22, 2015, for the paper “A Novel P300-Speller Error Detection Approach in Brain-Computer Interface”, co-authored by A. Bahrami Rad, M. Zabihi, S. Kiranyaz, and M. Gabbouj
- Best paper award, European Signal Processing Conference (EUSIPCO), Marrakech, Morocco, September 9-13, 2013, for the paper “Variational Bayesian Compressive Blind Image Deconvolution”, co-authored by B. Amizic, L. Spinoulas, and R. Molina
- IEEE Signal Processing Society Technical Achievement Award, 2010
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