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Postdoctoral Fellow

Computer Science Department - Technion Israel Institute of Technology

PhD in Computer Science

Technion - Israel Institute of Technology

Advisor: Michael Elad. Topic of Thesis: From Local to Global Sparse Modeling. 


Biomedical Engineering (summa cum laude)

Universidad Nacional de Entre Ríos, Argentina


Journal Papers

  • V. Papyan, Y. Romano, J. Sulam and M. Elad, “Theoretical Foundations of Deep Learning via Sparse Representations,” in IEEE Signal Processing Magazine, vol. 35, no. 4, pp. 72-89, July 2018
  • J. Sulam, V. Papyan, Y. Romano, M. Elad, (2017). Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. in IEEE Transactions on Signal Processing, vol. 66, no. 15, pp. 4090-4104, Aug.1, 1 2018.
  • V. Papyan*, J. Sulam*, M. Elad. Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. IEEE Transactions on Signal Processing, 65(21), 5687-5701, 2017. * Contributed Equally.
  • J. Sulam, M. Elad, Large Inpainting of Face Images with Trainlets, IEEE Signal Processing Letters, I. 99, Oct. 2016.
  • J. Sulam, Y. Romano, R. Talmon. Dynamical system classification with diffusion embedding for ECG-based person identification. Signal Processing. Vol. 130, January 2017, 403–411.
  • J. Sulam, B. Ophir, M. Zibulevsky and M. Elad. Trainlets: Dictionary Learning in High Dimensions.  IEEE Transactions on Signal Processing, 2016, V. 64, 12, pg: 3180 – 3193.

Conference Papers

  • J. Sulam, V. Papyan, Y. Romano, M. Elad. Projecting onto the Multi-Layer Convolutional Sparse Coding Model. ICASSP 2018 (oral presentation @ Special Session on Learning Signal Representation using Deep Learning).
  • V. Papyan, Y. Romano, J. Sulam, M. Elad. Convolutional Dictionary Learning via Local Processing. International Conference on Computer Vision (ICCV) 2017.
  • J. Sulam, R. Ben-Ari, P. KisilevMaximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. To appear in Eurographics Workshop on Visual Computing for Biology and Medicine 2017.
  • J. Sulam*, Y. Romano*, M. Elad. Gaussian Mixture Diffusion. ICSEE International Conference on the Science of Electrical Engineering. Nov. 2016. *Contributed Equally.
  • J. Turek, J. Sulam, I. Yavne and M. Elad. Fusion of Ultrasound Harmonic Imaging with Clutter Removal Using Sparse Signal Separation.  International Conference on Acoustics, Speech and Signal Processing (ICASSP),  Brisbane, Australia, April 19-24, 2015 (oral presentation).
  • J. Sulam and M. Elad, Expected Patch Log Likelihood with a Sparse Prior,  Energy Minimization Methods in Computer Vision and Pattern Recognition EMMCVPR, January 2015 (oral presentation).
  • J. Sulam, B. Ophir, M. Elad, Image Denoising Through Multi-Scale Learnt Dictionaries,  IEEE International  Conference on Image Processing, 2014 (oral presentation).
  • J. Sulam, G. Schlotthauer, M.E. Torres, Nonlinear slight parameter changes detection: a forecasting approach. 41th Argentinean Workshop on Informatics JAIIO. p. 168-179, ISSN 1850-2806. August, 2012
  • J. Sulam, Heart rate estimation through webcam photoplethysmography. XIV Workshop on Information Processing and Control RPIC, Student Section. Oro Verde, Entre Ríos, Argentina. p. 993-997, 2011.

Invited Talks

  • Dec. 2017 - From Shallow to Deep Sparsity with Convolutional Networks, at the CoSIP Intense Course on Deep Learning, at the Technical University of Berlin. 
  • Oct. 2017 -  From Convolutional Sparse Coding to Deep Sparsity and Neural Networks,  Seminar at the EE department of University of California San Diego.
  • March 2017 -Up-scaling Dictionary Learning and Theoretical Guarantees for Convolutional Sparse Coding,  seminar at the Center for Imaging Science, Johns Hopkins University.
  • May 2015 - Up-scaling Dictionary Learning with Trainlets, Computer Vision Seminar at the Hebrew University of Jerusalem.

Awards and Distinctions


Best Student Poster Award

Signal Processing Meets Deep Learning - IEEE Summer School on Signal Processing. Capri, Italy

“Best Graduates from Engineering Degrees of Argentine Universities” Prize Winner

Argentinean National Academy of Engineering.

Second prize at the Research Day Poster Session

Computer Science Department, Technion

for the poster Image Denoising through Multi-Scale Learnt Dictionaries.


Student Paper Award

XX Jornadas de Jovens Pesquisadores AUGM. Curitiba, Brasil.
for the paper “Nonlinear time series analysis applied to the study of healthy andpathological voices”.

Best Student Paper Award

XIV Workshop on Information Processing and Control RPIC2011
for the paper “Heart rate estimation through webcam photoplethysmography”

Working Experience

Summer 2016

IBM Research

Intern at IBM Research within the Medical Imaging Analytics group, working on machine learning and deep learning for classification of breast cancer, and within the organization team of the Digital Mammography Dream Challenge.

Teaching Assistant

Technion - Israel Institute of Technology

Differential and Integral Calculus 2


Teaching Assistant

Universidad Nacional de Entre Ríos (Argentina)

Complex Variable Calculus 

Service to the Community

Reviewer for:

  • IEEE Transactions on Signal Processing
  • IEEE Transaction on Image Processing
  • IEEE Signal Processing Letters
  • SIAM Journal on Imaging Sciences

Undergraduate Projects

2013:            Research Intern at Non-Linear Dynamics and Signals Laboratory (National University of Entre Rios), developing software for  the diagnosis and study of voice and speech pathologies.