St. Mary's University 1 Camino Santa MariaSan Antonio, TX 78228 +1-210-436-3011 St. Mary's University logo William Joseph Chaminade


  • Ph.D., Rutgers University
  • M.S., University of Wisconsin-Madison
  • B.S., University of Seville (Spain)


  • EG 3335 Optimization
  • EG 6308 Random Variables and Stochastic Processes

Research Interests

  • Operations research
  • Risk assessment in decision-making
  • Supply chain optimization and logistics
  • Transporation and energy modeling
  • Machine learning


Javier Rubio-Herrero, Ph.D., joined St. Mary’s University in 2017 as an Assistant Professor of Industrial Engineering in the Department of Engineering.

Rubio-Herrero completed his Ph.D. in Operations Research at Rutgers University. Previously, he received a M.S. in Industrial Engineering from the University of Wisconsin-Madison and a B.S. in Industrial Engineering from the University of Seville (Spain).

Before joining St. Mary’s, Rubio-Herrero worked at Pacific Northwest National Laboratory, where he applied optimization and machine learning techniques to a diverse array of areas such as national security, deep learning, and energy. He also has experience in industry (in the context of supply chain and manufacturing) and in the public sector, where he was part of the Transport and Energy unit at the Institute for Prospective Technological Studies.

Rubio-Herrero has published articles in journals and conference proceedings, and serves as an active reviewer in peer-reviewed publications. His research interests deal with the applications of optimization and operations research techniques to solve engineering problems.


Javier Rubio-Herrero and Jesús Muñuzuri. Indirect estimation of interregional freight flows with a real-valued genetic algorithm. Transportation (2019): 1-26.

Javier Rubio-Herrero and Melike Baykal-Gürsoy. On the Unimodality of the Price-setting Newsvendor Problem with Additive Demand under Risk Considerations. European Journal of Operational Research 265.3 (2018): 962-974.

Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna Vrabie. A Learning Framework for Control-Oriented Modeling of Buildings. In 16th IEEE International Conference on Machine Learning and Applications, 2017.

Javier Rubio-Herrero, Melike Baykal-Gürsoy, and Anna Jaśkiewicz. A Price-setting Newsvendor Problem under Mean-variance Criteria. European Journal of Operational Research, 247(2): 575-587, 2015.

Javier Rubio-Herrero. The Rise of Unaccompanied Alien Children: Assessing the Performance of a Transition Center with Queuing Theory. In 2015 IEEE International Symposium on Technologies for Homeland Security (HST), 2015.

Christie Nelson, Endre Boros, Fred RobertsJavier Rubio-Herrero, Paul Kantor, Curtis McGinity, Brian Nakamura, Brian Ricks, Patrick Ball, Chad Conrad, Kevin Hanson, and Thomas Rader. ACCAM Global Optimization Model for the USCG Aviation Air Stations. In Proceedings of the Industrial and Systems Engineering Conference, 2014.

Antonio Soria and Javier Rubio. El estudio WETO-H2: una introducción a la economía del hidrógeno (The WETO-H2 Study: An Introduction to the Hidrogen Economy). Ekonomi Gerizan, 15: 179-189, 2008.

Tobias Wiesenthal, Bert Saveyn, Antonio Soria, Jan Nill, Javier Rubio Herrero, and Gabriella Nemeth. Energy Research Capacities in EU Member States. Technical report, Joint Research Center, 2008.

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