Facundo Bromberg

Facundo Bromberg

Facundo Bromberg is currently an Associate Professor at the Universidad Tecnológica Nacional (UTN) , and Assistant Research at the CONICET (Argentinean Research Council). He is the founder and current director of the DHARMa Lab (Developement of Tools for Learning and Reasoning with Machines), where he is the director of three grants, one from the ANPCyT (Argentinean Agency for promoting Ciencie and Technology), and two from the UTN. He is currently directing five Ph.D., teaching several undergrad and graduate courses, and has actively participated in organization of different activities of the AAIA (Argentinean Association of Artificial Intelligence), such as co-organizing the Argentinean Symposium of Artificial Intelligence (ASAI) in 2009, co-organized the 1st and 2nd Argentinean Schools in Artificial Intelligence (EAIA) in 2012 and 2013, and is currently co-organizing the IJCAI International School of AI to be held in Buenos Aires in 2014.

Personal biography

Facundo was born in the City of Mendoza (Argentina) in March of 1974. With only two years his family moved to Israel, where they stayed until the end of 1982, after which they returned to Mendoza. He leaves Mendoza again in 1994 to S. C. de Bariloche to study Physics in the Instituto Balseiro, where he stayed until 1998. From there he moves to Buenos Aires City for two years, coming back to Mendoza with 26 years old, in the year 2000. Back in Mendoza he meets his current wife, Natalia Juan-Miguez, with whom he leaves to the United States in 2001 for his Ph.D. studies. In the year 2006 their daughter Zoe is born in Ames, Iowa, and in 2007 all three leaves back to Mendoza after Facundo finishes his studies. 

Academic Bio

Facundo graduated with Licenciatura in Physics from the Instituto Balseiro in the year 1998, and a Ph.D. in Computer Science in the Atanasoff Computer Science Department of Iowa State University in the year 2007, under the advise of Dr. Dimitris Margaritis and co-advise of  Dr. Vasant Honavar. In the year 2008 he starts as Assistant Professor  in the Universidad Tecnológica Nacional in Mendoza. During the years 1999 and 2000 (after graduating from Instituto Balseiro) he worked as a fellowship researcher in the Instituto de Investigaciones Cardiológicas (Institute of Heart Research) of the Medicine School of the Buenos Aires University, under the advise of Dr. Jorge Ponce-Hornos.

His academic director is Raymundo Forradellas.


Schlüter, F., & Bromberg F. (2014).  El enfoque IBMAP para aprendizaje de estructuras de redes de Markov. Tesis doctoral en Facultad de Ciencias Exactas - Universidad Nacional del Centro de la Provincia de Buenos Aires. Director: Facundo Bromberg. . Doctorado en Ciencias de la Computación (PhD in Computer Science), 138.
Schlüter, F., Bromberg F., & Edera A. (2014).  The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3), 197--223.
Edera, A., Schlüter F., & Bromberg F. (2014).  Learning Markov networks networks with context-specific independences.. International Journal on Artificial Intelligence Tools. 23(06), 
Abraham, L., Bromberg F., & Forradellas R. (2014).  Estimación de carga muscular mediante imágenes. Argentinean Symposium of Artificial Intelligence (ASAI) - Jornadas Argentinas de Informática. 91--98.
Diedrichs, A. Laura, Robles M. Inés, Bromberg F., Mercado G., & Dujovne D. (2013).  Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina. Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on. 1--6.
Edera, A.., Schlüter F.., & Bromberg F.. (2013).  Learning Markov networks with context-specific independences. IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).
Bromberg, F.., Schlüter F.., & Edera A.. (2011).  Independence-based MAP for Markov networks structure discovery. 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
Catania, C.. A., C. Garino G., & Bromberg F.. (2010).  Application of a Bayesian semi-supervised Learning Strategy to Network Intrution Detection. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
Schlüter, F., Bromberg F., & Pérez D. S. (2010).  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
Brombereg, F., Catania C. A., & Garino C. Garcia (2009).  An Autonomous labeling approach to SVM algorithms for network traffic anomaly detection. Argentine Symposium of Artificial Intelligence (ASAI). Jornadas Argentinas de Informática. Mar del Plata, Argentina..
Bromberg, F., & Schlüter F. (2009).  Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.
Bromberg, F., & Margaritis D. (2007).  Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). 2431-2436 .