Faculty Directory
Aggelos K. Katsaggelos

Joseph Cummings Professor of Electrical and Computer Engineering and (by courtesy) Computer Science and Radiology

Director, Image and Video Processing Lab (IVPL)

Co-Director, Center for Scientific Studies in the Arts (NU-ACCESS)

Deputy Director of Computation, Center for Computational Imaging and Signal Analytics in Medicine

Contact

2145 Sheridan Road
Tech Room M468
Evanston, IL 60208-3109

847-491-7164Email Aggelos Katsaggelos

Website

Aggelos Katsaggelos' Homepage

Departments

Electrical and Computer Engineering

Affiliations

Master of Science in Robotics Program

Master of Science in Artificial Intelligence

Download CV

Education

Ph.D. Electrical Engineering, Georgia Institute of Technology, Atlanta, GA

M.S. Electrical Engineering, Georgia Institute of Technology, Atlanta, GA

B.S. Electrical and Mechanical Engineering, Aristotelian University of Thessaloniki, Thessaloniki, Greece


Research Interests

Artificial Intelligence, Machine Learning, Multimedia Signal Processing, Multimedia Communications, Computational Imaging, Computer Vision, Medical and Biological Signal Processing, DNA Signal Processing, Scientific Studies in the Arts.


Selected Publications

  • Dravid, Amil; Schiffers, Florian; Gong, Boqing; Katsaggelos, Aggelos K., medXGAN, IEEE Computer Society (2022).
  • Bari, Sumra; Vike, Nicole L.; Stetsiv, Khrystyna; Woodward, Sean; Lalvani, Shamal; Stefanopoulos, Leandros; Kim, Byoung Woo; Maglaveras, Nicos; Breiter, Hans C.; Katsaggelos, Aggelos K., The Prevalence of Psychotic Symptoms, Violent Ideation, and Disruptive Behavior in a Population With SARS-CoV-2 Infection, JMIR Formative Research (2022).
  • López-Pérez, Miguel; Schmidt, Arne; Wu, Yunan; Molina, Rafael; Katsaggelos, Aggelos K., Deep Gaussian processes for multiple instance learning, Computer Methods and Programs in Biomedicine (2022).
  • Dai, Qiqin; Li, Fengqiang; Cossairt, Oliver; Katsaggelos, Aggelos K., Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation, IEEE Transactions on Computational Imaging (2022).
  • Pérez-Bueno, Fernando; Serra, Juan G.; Vega, Miguel; Mateos, Javier; Molina, Rafael; Katsaggelos, Aggelos K., Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification, Computerized Medical Imaging and Graphics (2022).
  • Morales-Alvarez, Pablo; Ruiz, Pablo; Coughlin, Scott; Molina, Rafael; Katsaggelos, Aggelos K., Scalable Variational Gaussian Processes for Crowdsourcing, IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
  • Petmezas, Georgios; Cheimariotis, Grigorios Aris; Stefanopoulos, Leandros; Rocha, Bruno; Paiva, Rui Pedro; Katsaggelos, Aggelos K.; Maglaveras, Nicos, Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function, Sensors (2022).
  • Soni, S.; Berry, C. P.L.; Coughlin, S. B.; Harandi, M.; Jackson, C. B.; Crowston, K.; Osterlund, C.; Patane, O.; Katsaggelos, A. K.; Trouille, L.; Baranowski, V. G.; Domainko, W. F.; Kaminski, K.; Rodriguez, M. A.Lobato; Marciniak, U.; Nauta, P.; Niklasch, G.; Rote, R. R.; Téglás, B.; Unsworth, C.; Zhang, C., Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning, Classical and Quantum Gravity (2021).
  • Barutcu, Semih; Aslan, Selin; Katsaggelos, Aggelos K.; Gürsoy, Doğa, Limited-angle computed tomography with deep image and physics priors, Scientific reports (2021).
  • Banerjee, Srutarshi; Rodrigues, Miesher; Vija, Alexander Hans; Katsaggelos, Aggelos K., A Learning-Based Physical Model of Charge Transport in Roomerature Semiconductor Detectors, IEEE Transactions on Nuclear Science (2022).
  • López-Tapia, Santiago; Molina, Rafael; Katsaggelos, Aggelos K., Deep learning approaches to inverse problems in imaging, Digital Signal Processing: A Review Journal (2021).
  • Iorga, Michael; Drakopoulos, M.; Naidech, A. M.; Katsaggelos, A. K.; Parrish, T. B.; Hill, V. B., Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing, American Journal of Neuroradiology (2022).
  • Wu, Yunan; Besson, Pierre; Azcona, Emanuel A.; Kathleen Bandt, S.; Parrish, Todd B.; Katsaggelos, Aggelos K., Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy, IEEE Computer Society (2022).
  • Wehbe, Ramsey M.; Sheng, Jiayue; Dutta, Shinjan; Chai, Siyuan; Dravid, Amil; Barutcu, Semih; Wu, Yunan; Cantrell, Donald R.; Xiao, Nicholas; Allen, Bradley D.; MacNealy, Gregory A.; Savas, Hatice; Agrawal, Rishi; Parekh, Nishant; Katsaggelos, Aggelos K., DeepCOVID-XR, Radiology 299(1):E167-E176 (2021).
  • Yuan, Xin; Brady, David J.; Katsaggelos, Aggelos K., Snapshot Compressive Imaging, IEEE Signal Processing Magazine 38(2):65-88 (2021).
  • Perez-Bueno, Fernando; Vega, Miguel; Naranjo, Valery; Molina, Rafael; Katsaggelos, Aggelos K., Super Gaussian Priors for Blind Color Deconvolution of Histological Images, IEEE Computer Society:3010-3014 (2020).
  • Hidalgo-Gavira, Natalia; Mateos, Javier; Vega, Miguel; Molina, Rafael; Katsaggelos, Aggelos K., Variational Bayesian Blind Color Deconvolution of Histopathological Images, IEEE Transactions on Image Processing 29(1):2026-2036 (2020).
  • Ruiz, Pablo; Dill, Olivia; Raju, Goutam; Cossairt, Oliver Strides; Walton, Marc Sebastian; Katsaggelos, Aggelos K, Visible transmission imaging of watermarks by suppression of occluding text or drawings, Digital Applications in Archaeology and Cultural Heritage 15 (2019).
  • Serra, Juan G.; Testa, Matteo; Molina, Rafael; Katsaggelos, Aggelos K., Bayesian K-SVD using fast variational inference, IEEE Transactions on Image Processing 26(7):3344-3359 (2017).
  • Iliadis, Michael; Wang, Haohong; Molina, Rafael; Katsaggelos, Aggelos K, Robust and Low-Rank Representation for Fast Face Identification with Occlusions, IEEE Transactions on Image Processing 26(5):2203-2218 (2017).
  • Vu, Huyen; Engan, Kjersti; Eftestøl, Trygve; Katsaggelos, Aggelos K; Jatosh, Samwel; Kusulla, Simeon; Mduma, Estomih; Kidanto, Hussein; Ersdal, Hege, Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals, Biomedical Signal Processing and Control 36:20-26 (2017).
  • Dai, Qiqin; Yoo, Seunghwan; Kappeler, Armin; Katsaggelos, Aggelos K., Sparse representation-based multiple frame video super-resolution, IEEE Transactions on Image Processing 26(2):765-781 (2017).
  • Zevin, M.; Coughlin, S.; Bahaadini, S.; Besler, E.; Rohani, N.; Allen, S.; Cabero, M.; Crowston, K.; Katsaggelos, A. K.; Larson, S. L.; Lee, T. K.; Lintott, C.; Littenberg, T. B.; Lundgren, A.; Osterlund, C.; Smith, J. R.; Trouille, L.; Kalogera, V., Gravity Spy, Classical and Quantum Gravity 34(6) (2017).
  • Woods, Matthew; Katsaggelos, Aggelos, Remote classification from an airborne camera using image super-resolution, Journal of the Optical Society of America A: Optics and Image Science, and Vision 34(2):203-215 (2017).
  • Wang, Zihao; Spinoulas, Leonidas; He, Kuan; Tian, Lei; Cossairt, Oliver Strides; Katsaggelos, Aggelos K; Chen, Huaijin, Compressive holographic video, Optics Express 25(1):250-262 (2017).
  • Huang, Xiang; Uffelman, Erich; Cossairt, Oliver Strides; Walton, Marc Sebastian; Katsaggelos, Aggelos K, Computational Imaging for Cultural Heritage, IEEE Signal Processing Magazine 33(5):130-138 (2016).
  • Pouyet, E.; Devine, S.; Grafakos, T.; Kieckhefer, Richard; Salvant, J.; Smieska, L.; Woll, A.; Katsaggelos, Aggelos K; Cossairt, Oliver Strides; Walton, Marc Sebastian, Revealing the biography of a hidden medieval manuscript using synchrotron and conventional imaging techniques, Analytica Chimica Acta 982:20-30 (2017).
  • Chen, Zhaofu; Molina, Rafael; Katsaggelos, Aggelos K., A variational approach for sparse component estimation and low-rank matrix recovery, CRC Press:14.1-14.19 (2016).
  • Ruiz, Pablo; Molina, Rafael; Katsaggelos, Aggelos K, Joint data filtering and labeling using Gaussian processes and alternating direction method of multipliers, IEEE Transactions on Image Processing 25(7):3059-3072 (2016).
  • Woods, Matthew; Katsaggelos, Aggelos K, Spatial-Frequency-Based metric for image superresolution, Journal of the Optical Society of America A: Optics and Image Science, and Vision 32(11):2002-2020 (2015).
  • AlSaafin, Wael; Villena, Salvador; Vega, Miguel; Molina, Rafael; Katsaggelos, Aggelos K., Compressive sensing super resolution from multiple observations with application to passive millimeter wave images, Digital Signal Processing: A Review Journal 50:180-190 (2016).
  • Rad, Ali Bahrami; Engan, Kjersti; Katsaggelos, Aggelos K; Kvaløy, Jan Terje; Wik, Lars; Kramer-Johansen, Jo; Irusta, Unai; Eftestøl, Trygve, Automatic cardiac rhythm interpretation during resuscitation, Resuscitation 102:44-50 (2016).
  • Tsiligianni, Evaggelia; Kondi, Lisimachos P.; Katsaggelos, Aggelos K, Preconditioning for underdetermined linear systems with sparse solutions, IEEE Signal Processing Letters 22(9):1239-1243 (2015).
  • Zhou, Xu; Mateos, Javier; Zhou, Fugen; Molina, Rafael; Katsaggelos, Aggelos K., Variational Dirichlet Blur Kernel Estimation, IEEE Transactions on Image Processing 24(12):5127-5139 (2015).
  • Peláez, Nicolás; Gavalda-Miralles, Arnau; Wang, Bao; Navarro, Heliodoro Tejedor; Gudjonson, Herman; Rebay, Ilaria; Dinner, Aaron R.; Katsaggelos, Aggelos K; Amaral, Luis A N; Carthew, Richard W, Dynamics and heterogeneity of a fate determinant during transition towards cell differentiation, eLife 4(NOVEMBER2015) (2015).