Cecilia Aguerrebere

I conduct research on learning analytics and educational data mining for Ceibal Foundation, a government institution created to provide guidance to Plan Ceibal, and other national and international educational actors, in aspects related to education and technology. Plan Ceibal is a national policy program that has been implemented over the last ten years in Uruguay. It provides a personal device (laptop or tablet) to all students in the K-12 public education system (over 85% of the children in the country), as well as internet connectivity to all public schools and a wide variety of online educational resources and platforms.

Before, I was a postdoctoral researcher in Prof. Guillermo Sapiro's Lab at the ECE (Electrical and Computer Engineering Department) at Duke University.

I obtained my Phd in Signal and Image processing from Télécom ParisTech, France and in Electrical Engineering from Universidad de la República, Uruguay (joint Phd program) in 2014.

I did my Bs. and M.Sc. in Electrical Engineering at Universidad de la República, Uruguay and a M.Sc. in Applied Mathematics (MVA) at École Normale Supérieure de Cachan, France.

You can download my CV here.

The amazing view is from the Isla del Sol, in the Lake Titicaca, Bolivia.


  • C. Aguerrebere, M. Bulger, C. Cobo, S. García, G. Kaplan and J. Whitehill. How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? International Conference on Educational Data Mining. Montréal, Canada, 2019. PDF EDM
  • J. Whitehill, C. Aguerrebere and B. Hylak. Do Learners Know What’s Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains. International Conference on Educational Data Mining. Montréal, Canada, 2019. PDF EDM
  • G. Capdehourat, C. Aguerrebere, F. Bascans, G. Alvarez, P. Porteiro. Unveiling Wi-Fi Usage Profiles: A First Look at a K-12 Education Service Provider. 22nd IEEE Global Internet Symposium, INFOCOM, 2019.
  • A. Ruiz Calleja, S. García, K. Tammets, C. Aguerrebere, T. Ley. Scaling Learning Analytics up to the national level: the experience from Estonia and Uruguay. 2da Conferencia Internacional en Analíticas de Aprendizaje en Latinoamérica, 2019. PDF EDM
  • C. Aguerrebere, C. Cobo and J. Whitehill. Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity. International Conference on Educational Data Mining. Buffalo, NY, 2018. PDF EDM
  • C. Aguerrebere, S. García Cabeza, G. Kaplan, C. Marconi, C. Cobo and M. Bulger. Exploring Feedback Interactions in Online Learning Environments for Secondary Education. 1ra Conferencia Internacional en Analíticas de Aprendizaje en Latinoamérica, 2018.
  • A. Bartesaghi, C. Aguerrebere, V. Falconieri, S. Banerjee, L. Earl, X. Zhu, N. Grigorieff, J. Milne, G. Sapiro, X. Wu, S. Subramaniam. Atomic resolution cryo-EM structure of beta-galactosidase. Structure, 2018.
  • A. K. Simhal, C. Aguerrebere, F. Collman, J. T. Vogelstein, K. D. Micheva, R. J. Weinberg, S. J. Smith, and G. Sapiro. Probabilistic fluorescence-based synapse detection. PLoS Computational Biology 13, no. 4, 2017.
  • C. Aguerrebere, J. Delon, A. Almansa, Y. Gousseau, P. Musé. A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging. IEEE Transactions on Computational Imaging, 2017.
  • C. Cobo and C. Aguerrebere. Building capacity for learning analytics in Latin America. Learning Analytics for the Global South, Digital Learning for Development, 2017.
  • C. Aguerrebere, C. Cobo, M. Gómez, M. Mateu. Strategies for data and learning analytics informed national education policies: the case of Uruguay. International Learning Analytics & Knowledge Conference. Vancouver, BC, Canada, 2017.
  • C. Aguerrebere, M. Delbracio, A. Bartesaghi, G. Sapiro. Fundamental Limits in Multi-image Alignment, IEEE Transactions on Signal Processing 64.21 5707-5722, 2016. PDF arXiv
  • P. Sen and C. Aguerrebere. Practical High Dynamic Range Imaging of Everyday Scenes: Photographing the world as we see it with our own eyes, IEEE Signal Processing Magazine, 33.5: 36-44, 2016.
  • Phd Thesis C. Aguerrebere. On the Generation of High Dynamic Range Images: Theory and Practice from a Statistical Perspective, 2014. PDF Full text
  • Y. Traonmilin and C. Aguerrebere. Simultaneous High Dynamic Range and Super-Resolution Imaging Without Regularization, SIAM Journal on Imaging Sciences, vol. 7, no. 3, pp. 1624-1644, 2014. PDF Full text
  • C. Aguerrebere, J. Delon, Y. Gousseau and P. Musé. Best Algorithms for HDR Image Generation. A Study of Performance Bounds, SIAM Journal on Imaging Sciences. vol. 7, no. 1, pp. 1-34, 2014. PDF Full text
  • C. Aguerrebere, A. Almansa, Y. Gousseau, J. Delon and P. Musé. Single Shot High Dynamic Range Imaging Using Piecewise Linear Estimators. IEEE International Conference on Computational Photography (ICCP), 2014. [Project site] PDF Full text
  • C. Aguerrebere, J. Delon, Y. Gousseau and P. Musé. Simultaneous HDR image reconstruction and denoising for dynamic scenes. IEEE International Conference on Computational Photography (ICCP), 2013, pages 1 - 11, doi: 10.1109/ICCPhot.2013.65283009 [Project site] PDF Full text
  • C. Aguerrebere, G. Tartavel and Y. Gousseau. Exemplar-based texture synthesis. Image Processing Online (IPOL), 2013. [On-line demo] PDF Full text
  • C. Aguerrebere, P. Sprechmann, P. Musé, R. Ferrando. A-contrario localization of epileptogenic zones in SPECT images. IEEE International Symposium on Biomedical Imaging, Boston, Massachusetts, U.S, 2009. PDF Full text
  • C. Aguerrebere, G. Capdehourat, M. Delbracio, M. Mateu, A. Fernandez and F. Lecumberry. Aguara: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. IEEE Workshop on Automatic Identification Advanced Technologies, AutoID 2007. Alghero, Italy - 7-8 jun 2007. PDF Full text
  • C. Aguerrebere, J. Delon, Y. Gousseau and P. Musé. Study of the digital camera acquisition process and statistical modeling of the sensor raw data. Technical report. PDF Full text


Past courses:


Here is my talk (slides) at the AI for Social Good session at Khipu, Latin American Meeting in Artificial Intelligence, November, 2019.    Amazing event!


Feel free to contact me if I can be of any help (or not).

caguerrebere [at] gmail.com