Research Seminars

Sharing knowledge is cool! This is why FlexAnalytics has funded or the group have taken part in the following seminars:

  1. S. Pineda and J.M. Morales, Machine-learning Aided Operation and Planning of Power Systems, Seminar as part of the PhD course Optimization under uncertainty in power systems, Institute of Electricity Economics and Energy Innovation, Graz University of Technology, Styria, Austria 26 May, 2022. The slides of the presentation can be found here.
  2. P. Kergus, Data-driven strategies for modeling and control - Application to building thermal modeling, Invited speaker from LAPLACE, seminar, Ada Byron Research Centre, Málaga, Spain, 18th May 2022.
  3. J.M. Morales, Context-driven power system operations, Invited speaker in the seminar series enOPTIMAL Massachusetts Institute of Technology (MIT), Cambridge, MA, EEUU, 1st April 2022. The presentation can be seen on the enOPTIMAL YouTube channel.
  4. A. Esteban-Pérez and J.M. Morales, Distributionally robust optimal power flow with contextual information, College of Management of Technology (CMD) Seminar, Ecole Polythechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 30 November, 2021. The slides of the presentation can be found here.
  5. C. Domínguez Sánchez, Invited guest speaker, The Rank Pricing Problem: a mixed-integer linear optimization approach, seminar, Ada Byron Research Centre, July 2021. The slides of the presentation can be found here.
  6. A. Jiménez-Cordero, J. M. Morales and S. Pineda, A novel embedded min-max approach for feature selection in nonlinear support vector machine classification, Session candidates for the Ramiro Melendreras prize. Jornadas SEIO 2021, 9 -11 June, 2021. The slides of the presentation can be found here.
  7. A. Elías, R. Jiménez, A.M. Paganoni and L.M. Sangalli, Integrated depths for partially observed functional data, Session candidates for the Ramiro Melendreras prize. Jornadas SEIO 2021, 9 -11 June, 2021. The slides of the presentation can be found here.
  8. J.M. Morales, S. Pineda, M.A. Muñoz, and A. Esteban-Pérez, Contextual decision-making under uncertainty, NeEDS Machine Learning NeEDS Mathematical Optimization online seminars, March 2021. Watch the seminar here.
  9. S. Pineda, M. A. Muñoz and J.M. Morales A bilevel framework for decision-making under uncertainty with contextual information, IUMA Day on Mathematical Optimization for Data Science, University of Zaragoza, 19 March, 2021. The slides of the presentation can be found here.
  10. A. Jiménez-Cordero, J. M. Morales, and S. Pineda, Feature selection in nonlinear SVM using a novel min-max approach, NeEDS Machine Learning NeEDS Mathematical Optimization online seminars, February 2021. Watch the seminar here.
  11. S. Pineda, Machine-learning aided operation and planning of power systems, New York University (Online) , April 2020. The slides of the presentation can be downloaded here and video.
  12. V. Bucarey and A. Jiménez-Cordero, Bilevel optimization for Stackelberg security games modeling, Statistical Classification, Ada Byron Research Building , January 2020. The slides of both presentations can be downloaded here and here.