Projects

Principal investigators: J. Manuel Colmenar, Eduardo García Pardo Department: Computer Science and Statistics Funding entity: Confidential (not disclosed) Period: January 2026 – July 2026 Description This R&D contract project addresses the optimization of asset selection in the context of asset-backed structured finance operations.

Principal investigators: Jesús Sánchez-Oro Calvo, Eduardo García Pardo Funding entity: Agencia Estatal de Investigación External reference: PID2024-160226OB-C22 Internal reference: M4027 Duration: 01/09/2025 – 31/08/2028 Abstract: Supply chain optimization is one of the major challenges of modern logistics.

Principal investigators: José Manuel Colmenar Verdugo, Abraham Duarte Muñoz Funding entity: Agencia Estatal de Investigación External reference: PID2024-156045NB-I00 Internal reference: M4018 Duration: 01/09/2025 – 31/08/2028 Funding amount: 124,250 € Abstract:

Principal investigators: Jesús Sánchez-Oro Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: May 2025 – February 2026 Description This R&D contract project focuses on the development of advanced artificial intelligence and automation techniques applied to demand forecasting, staffing planning, and shift scheduling in the context of workforce management.

Principal investigator: Jesús Sánchez-Oro Calvo Funding entity: Comunidad de Madrid External reference: TEC-2024/COM-404 Internal reference: M3832 Duration: 01/01/2025 – 31/12/2028 Abstract: This project focuses on developing cybersecurity solutions and resilient artificial intelligence systems for the Community of Madrid.

Principal investigators: Sergio Cavero, Javier Yuste Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: January 2025 – September 2026 Description This R&D contract project addresses the optimization of distribution operations in oil logistics, both in the short and long term.

Principal investigator: Antonio González Pardo Funding entity: European Union (European Education and Culture Executive Agency, EACEA) Website: cipherengine.eu Abstract: CipherEngine is a European educational project co-funded by the European Union that aims to integrate cybersecurity and cryptography into secondary school curricula.

Principal investigators: Jesús Sánchez-Oro Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: September 2024 – July 2025 Description This R&D contract project consists of providing specialized advisory services in optimization techniques applied to industrial projects.

Principal investigators: José Manuel Colmenar Verdugo, Raúl Martín Santamaría Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: September 2024 – March 2025 Description This R&D contract project addresses the comprehensive optimization of operations in an industrial or business environment.

Principal investigator: Jesús Sánchez-Oro Calvo Funding entities: Ministerio para la Transformación Digital y de la Función Pública (Ref. TSI-100930-2023-3) Duration: 19/04/2024 - 31/12/2026 Budget: 374.999,91

Principal investigators: Sergio Cavero, Eduardo G. Pardo Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: February 2024 – December 2024 Description This R&D contract project addresses the optimization of industrial production processes, specifically the joint problem of lot-sizing and scheduling on parallel production lines.

Principal investigators: Jesús Sánchez-Oro, Sergio Pérez Peló Department: Computer Science and Statistics Funding entity: Confidential (not disclosed) Description Smartiming is an R&D contract project focused on developing an optimizer for shift schedules and timetables for companies and educational institutions.

Principal investigators: Isaac Lozano Osorio, Jesús Sánchez-Oro Funding entity: Spanish Chess Federation (Federación Española de Ajedrez) Internal reference: M3341 Period: December 2023 – December 2024 Description This technology transfer project, funded by the Spanish Chess Federation, aimed to apply Artificial Intelligence techniques to optimize the competitive preparation of high-performance chess players.

Principal investigators: Abraham Duarte, J. Manuel Colmenar. Funding entities: Ministerio de Ciencia e Innovación (PID2021-126605NB-I00). Duration: 01/01/2022 – 31/12/2024. Abstract: Metaheuristics (MHs) are among the most prominent and successful techniques to solve a large amount of complex and computationally hard combinatorial and numerical optimization problems arising in human activities, such as economics (e.

Principal investigator: Eduardo García Pardo y Jesús Sánchez-Oro Calvo Funding entities: Ministerio de Economía y Competitividad (PID2021-125709OA-C22). Duration: 2022 – 2024. Summary: This scientific proposal focuses on solving hard optimization problems belonging to the supply chain management, by using an efficient combination of Operations Research and Artificial Intelligence techniques.

Principal investigator: Abraham Duarte Funding entities: URJC and Comunidad de Madrid (URJC-CM-2008-CET-3731) Duration: 01/01/2009 - 31/12/2009 Abstract: There is a type of optimization problems especially difficult to solve in which only partial information is available, called Complex Systems.

Principal investigator: Abraham Duarte. Funding entities: Comunidad de Madrid, Unión Europea (Fondos Estructurales) (Ref. P2018/TCS-4566). Duration: 07/10/2019 – 31/08/2020. Abstract: Cyberspace plays nowadays a key role in modern societies and economies, and its protection is a pivotal challenge in national security strategies.

Principal investigator: Abraham Duarte Funding entities: Ministerio de Economía y Competitividad (TIN2012-35632-C02-02). Duration: 01/01/2013 – 31/12/2015, Abstract: There are a large amount of problems that are framed within the context of combinatorial optimization characterized by the high interest associated with their practical resolution.

Principal investigator: Abraham Duarte. Funding entities: Ministerio de Economía y Competitividad (TIN2015-65460-C2-2-P). Duration: 01/01/2016 – 31/12/2018. Abstract: There are a large amount of problems that are framed within the context of combinatorial optimization characterized by the high interest associated with their practical resolution.

Principal investigator: Abraham Duarte Funding entities: Comunidad de Madrid y Fondo Social Europeo (S2009/TIC-1542) Duration: 01/01/2010 – 31/12/2013 Abstract: Multimedia information access systems that work on image collections usually have access to two types of data: the textual descriptors and the visual content of the images.

Principal investigator: Abraham Duarte Funding entities: URJC y Comunidad de Madrid (URJC-CM-2006-CET-0603) Duration: 01/01/2007 – 31/12/2007 Abstract: The processing and organization of the enormous amount of information in electronic format that is currently available has become a necessity in the Information Society in which we live.

Principal investigator: Abraham Duarte y José Manuel Colmenar Verdugo. Funding entities: Ministerio de Ciencia Innovación y Universidades. (Ref. PGC2018-095322-B-C22). Duration: 01/01/2019 – 31/12/2021. Abstract: Information systems are nowadays commonly represented with a graph, which makes them easier to interpret and understand.

Principal investigators: Abraham Duarte Muñoz, Jesús Sánchez-Oro Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: September 2020 – February 2021 Description This R&D contract project focuses on the design and development of metaheuristic algorithms for solving complex optimization problems.

Principal investigators: Abraham Duarte Muñoz, Jesús Sánchez-Oro Type: R&D Contract Project Funding entity: Confidential (not disclosed) Period: December 2019 – March 2020 Description This R&D contract project involved improving and correcting an existing optimization algorithm for the optimal placement of solar panel installations.