Mauro Escobar Data Scientist at Dribia Data Research PhD in Operations Research, 2019 Industrial Engineering & Operations Research Department Columbia University Background: In 2012 I obtained a B.S. in Engineering and in 2013 a M.S. in Applied Math, from Universidad de Chile. In 2019 I obtained a PhD in Operations Research at Columbia University, advised by Daniel Bienstock. I did a postdoc at LIX (École polytechnique) from 2019 until 2021, working with Leo Liberti, Claudia D'Ambrosio, and Sonia Vanier. mauro at dribia dot fr

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Mauro Escobar Data Scientist at Dribia Data Research PhD in Operations Research, 2019 Industrial Engineering & Operations Research Department Columbia University Background: In 2012 I obtained a B.S. in Engineering and in 2013 a M.S. in Applied Math, from Universidad de Chile. In 2019 I obtained a PhD in Operations Research at Columbia University, advised by Daniel Bienstock. I did a postdoc at LIX (École polytechnique) from 2019 until 2021, working with Leo Liberti, Claudia D'Ambrosio, and Sonia Vanier.

ResearchInvestigación

I am interested in Mathematical Optimization, in particular, Stochastic Programming, Linear Programming, Combinatorial and Discrete Optimization, Convex Optimization, and Semidefinite Programming. I also have a broad interest Discrete Mathematics and Computational Complexity Theory.

I did my PhD thesis on defense mechanisms to detect cyber-physical attacks on Power Grids.

Tengo un amplio interés en la Optimización, en particular, Optimización Estocástica, Programación Lineal, Combinatorial, Optimización Discreta, Optimización Convexa y Programación Semidefinida. También tengo interés en las Matemáticas Discretas y en la Teoría de la Complejidad Computacional.

Durante mi doctorado, trabajé en mecanismos de defensa frente a ataques físicos y cibernéticos a redes eléctricas.

PublicationsPublicaciones

• D. Bienstock, M. Cerulli, M. Escobar, and y L. Liberti, Power Network Design with Line Activity, inen: Amorosi, L., Dell’Olmo, P., Lari, I. (eds) Optimization in Artificial Intelligence and Data Sciences. AIRO Springer Series, vol. 8. Springer, Cham. Mar. 2022.
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  @InProceedings{bienstock2022-line_activity, author = {D.~Bienstock and M.~Cerulli and M.~Escobar and L.~Liberti}, title = "{Power Network Design with Line Activity}", editor = {L.~Ambrosi and P.~Dell'Olmo and I.~Lari}, booktitle = {Optimization in Artificial Intelligence and Data Sciences}, year = {2022}, volume = {8}, publisher = {Springer International Publishing}, pages = {185-198}, doi = {10.1007/978-3-030-95380-5_17}, url = {https://link.springer.com/chapter/10.1007/978-3-030-95380-5_17}, }
• D. Bienstock, M. Escobar, C. Gentile, and y L. Liberti, Mathematical Programming formulations for the Alternating Current Optimal Power Flow problem, inen 4OR, vol. 18, no. 3, pp. 249-292, Sept. 2020.
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  @article{liberti2020-acopf_survey, author = {D.~Bienstock and M.~Escobar and C.~Gentile and L.~Liberti}, title = "{Mathematical programming formulations for the alternating current optimal power flow problem}", journal = {4OR}, year = {2020}, volume = {18}, number = {3}, pages = {249-292}, doi = {10.1007/s10288-020-00455-w}, url = {https://link.springer.com/article/10.1007%2Fs10288-020-00455-w}, }
• D. Bienstock andy M. Escobar, Stochastic Defense Against Complex Grid Attacks, inen IEEE Transactions on Control of Network Systems, vol. 7, no. 2, pp. 842-854, Jun. 2020.
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  @article{bienstock2020-stoc_attack, author = {D.~Bienstock and M.~Escobar}, title = "{Stochastic Defense Against Complex Grid Attacks}", journal = {IEEE Transactions on Control of Network Systems}, year = {2020}, volume = {7}, number = {2}, pages = {842-854}, doi = {10.1109/TCNS.2019.2949908}, url = {https://ieeexplore.ieee.org/document/8886399}, }
• PhD ThesisTesis doctoral: Security and Statistics on Power Grids (2019). AdvisorProfesor guía: Daniel Bienstock.
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  @phdthesis{escobar2019-phdthesis, author = {M.~Escobar}, title = "{Security and Statistics on Power Grids}", school = {Columbia University}, year = {2019}, url = {https://doi.org/10.7916/d8-987s-6q56}, }
• M. Escobar, D. Bienstock, and y M. Chertkov, Learning from Power System Data Stream, inen 2019 IEEE Milan PowerTech, Jun. 2019.
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  @inproceedings{escobar2019-data_stream, author = {M.~Escobar and D.~Bienstock and M.~Chertkov}, title = "{Learning from power system data stream}", booktitle = {2019 IEEE Milan PowerTech}, year = {2019}, pages = {1-6}, doi = {10.1109/PTC.2019.8810950}, url = {https://ieeexplore.ieee.org/document/8810950}, }
• D. Bienstock andy M. Escobar, Computing Undetectable Attacks on Power Grids, inen SIGMETRICS Performance Evaluation Review, vol. 45, no. 2, pp. 115-118, Sept. 2017.
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  @article{bienstock2017-computing_undetectable, author = {D.~Bienstock and M.~Escobar}, title = "{Computing Undetectable Attacks on Power Grids}", publisher = {Association for Computing Machinery}, year = {2017}, volume = {45}, number = {2}, pages = {115-118}, doi = {10.1145/3152042.3152077}, url = {https://doi.org/10.1145/3152042.3152077}, }
• M.S. Thesis (in Spanish)Tesis de pregrado: Analysis of Network Coding AlgorithmsAnálisis de algoritmos de codificación de redes (2012). AdvisorProfesor guía: Marcos Kiwi.
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  @mastersthesis{escobar2012-mastersthesis, author = {M.~Escobar}, title = "{An\'alisis de algoritmos de codificaci\'on de redes}", school = {Universidad de Chile - Facultad de Ciencias F\'isicas y Matem\'aticas}, year = {2012}, url = {http://repositorio.uchile.cl/handle/2250/112309}, }

TalksCharlas

• "Integer Formulation for Computing Transaction Aggregation to Detect Credit Card Fraud." CTW 2020, online.
• "Learning from Power System Data Stream." IEEE Power Tech 2019, Milan, Italy.
• "Stochastic Defense Against Complex Grid Attacks." Risk Day 2019, Cambridge, UK.
• "Cyber-Physical Attacks on Power Grids and Covariance Defense." 2018 INFORMS Annual Meeting, Phoenix, AZ.
• "Cyber-Physical Attacks on Power Grids under the AC model and Stochastic Defense." SIAM - Network Science 2018, Portland, OR. extended abstractabstract extendido
• "Undetectable Cyber-Physical Attacks on Power Grids under the AC model." EURO 2018, Valencia, Spain.
• "Machine Learning with PMU signals." ISMP 2018, Bordeaux, France.
• "Analysis on Power Grid Attacks." 2017 INFORMS Annual Meeting, Houston, TX.
• "On Routing Policies for Synchronized Queues." 2015 INFORMS Annual Meeting, Philadelphia, PA. slidesdiapositivas

CodeCódigos

• AC Optimal Power Flow solver, onen Github .
• Statistical plots of PMU measurements, onen Github .

TeachingEnseñanza

I have been Teaching Assistant for Stochastic Models (B.S. and M.S. courses) at the IEOR department with professors Ward Whitt (in 2014), Mariana Olvera-Cravioto (in 2016), and David Yao (in 2015 & 2016). At LIX, I have been Teaching Coordinator for Decision theory, with applications to energy systems with professors Claudia D'Ambrosio and Leo Liberti (in 2020 & 2021).

He sido Profesor Asistente del curso Modelos Estocásticos (cursos de pregrado y magister) en el departamento de IEOR con los profesores Ward Whitt (en 2014), Mariana Olvera-Cravioto (en 2016) y David Yao (en 2015 y 2016). En LIX, he sido profesor coordinador del curso Teoría de la decisión, con aplicaciones en sistemas de energía con los profesores Claudia D'Ambrosio y Leo Liberti (en 2020 y 2021).

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Last updated: January 2021Última actualización: Enero 2021