Main Page

 

 

Thesis:

 
bullet

Polyhedra: A model for solving N-ary constraint satisfaction problems by means of Hyperpolyhedra. Miguel A. Salido. ProQuest Information and Learning, UMI. ISBN: 0-493-24254-6. 365 pp, 2002.

Directed Thesis

  1. Particionamiento y resolución distribuida multivariable de problemas de satisfacción de restricciones. Author: Montserrat Abril López, Director: Federico Barber, Miguel A. Salido, 2007.

  2. Modelos y Técnicas de Consistencia en Problemas de Satisfacción de Restricciones. Author: Marlene Arangú, Director: Miguel A. Salido, 2011.

  3. Robustness and Stability in Dynamic Constraint Satisfaction Problems. Author: Laura Climent, Director: Miguel A. Salido, Federico Barber,2013.

  4. Optimization and Robustness in Planning and Scheduling Problems. Application to Container Terminals. Author: Mario Rodriguez Molins, Director:  Miguel A. Salido, Federico Barber, 2015

  5. Eficiencia Energética y Robustez en Problemas de Scheduling. Author: Joan Escamilla, Director: Miguel A. Salido, 2016

  6. Eficiencia Energética en la programación de tareas con recursos restringidos. Author: Daniel Morillo, Directors: Federico Barber, Miguel A. Salido, 2017

 

Awards:

bullet

Award for One of the Best Papers (December, 2002). "A Polynomial Algorithm for Continuous Non-binary Disjunctive CSPs." M. A. Salido, F. Barber. 22nd SGAI International Conference on Knowledge-Based Systems and Applied Artificial Intelligence. British Computer Society, UK.

bullet

Award "José Cuena" to the best paper of technology transfer in Artificial Intelligence (November, 2003). "An Interactive Train Scheduling Tool for Solving and Plotting Running Maps"  F.Barber; M. A. Salido; L. Ingolotti; M. Abril; A. Lova; P. Tormos. X Spaninsh Conference on Artificial Intelligence (CAEPIA-TTIA'03).

bullet

Extraordinary Award of doctoral thesis from Polytechnic University of Valencia: Polyhedra: A model for solving N-ary constraint satisfaction problems by means of Hyperpolyhedra. Miguel A. Salido(June 2004)

bullet

Nominated to the best paper "A Scheduling Order-Based Method to Solve the Train Timetabling Problem" L. Ingolotti; F.Barber; P. Tormos; A. Lova; M. A. Salido;  M. Abril. XI Spaninsh Conference on Artificial Intelligence (CAEPIA 2005).

bullet

Award to the best paper of technology transfer in Artificial Intelligence (September, 2005). "Técnicas de Inteligencia Artificial en Planificación Ferroviaria"  M. A. Salido; F.Barber; M. Abril; L. Ingolotti; A. Lova; P. Tormos; J. Estrada. TTIA'05).

bullet

Award for One of the Best Papers (December, 2006). "Domain Dependent Distributed Models for Railway Scheduling." . A. Salido, M. Abril, F. Barber, L. Ingolotti, P. Tormos, A. Lova. 26nd SGAI International Conference on Knowledge-Based Systems and Applied Artificial Intelligence. British Computer Society, UK.

bullet

Extraordinary Award of doctoral thesis from Polytechnic University of Valencia: Particionamiento y resolución distribuida multivariable de problemas de satisfacción de restricciones. Author: Montserrat Abril López, Directors: Federico Barber, Miguel A. Salido.(June 2010)

bullet

Award for the best refereed application paper at AI-2010. SGAI International Conference on Knowledge-Based Systems and Applied Artificial Intelligence. British Computer Society, UK, (December, 2010).


 

Main Page