OGA reinforces its excellence in Artificial Intelligence and Process Optimisation with a Technological Advisory Board comprising 14 professors and researchers at the highest international level in data-driven technology solutions.
“At OGA we firmly believe in talent and investment in research and transfer as fundamental pillars of the economic and social change that new technologies must lead, and we are convinced of the absolutely leading role that academic institutions have in this challenge“.
“It is our objective with the constitution of the CÁTEDRA Group, the OGA‘s Technological Advisory Board, to build a collaborative scenario from which to share knowledge, experiences and visions with authentic references in the knowledge verticals that sustain our business activity, in a permanent search for inspiration and knowledge, and to do so from the construction of two-way relationships and opportunities that contribute to all of us”.
Juan Carlos Rubio Sánchez. OGA CEO
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“At OGA we firmly believe in talent and investment in research and transfer as fundamental pillars of the economic and social change that new technologies must lead, and we are convinced of the absolutely leading role that academic institutions have in this challenge“. “It is our objective with the constitution of the CÁTEDRA Group, the OGA‘s Technological Advisory Board, to build a collaborative scenario from which to share knowledge, experiences and visions with authentic references in the knowledge verticals that sustain our business activity, in a permanent search for inspiration and knowledge, and to do so from the construction of two-way relationships and opportunities that contribute to all of us”. Juan Carlos Rubio Sánchez. OGA CEO |
Research expert in metaheuristic techniques applied to multi-objective optimisation and with applications for companies (vehicle routing optimisation problems, production, scheduling, assembly sequences, etc.). For example, one of his recent scientific papers is ‘Optimising a bi-objective vehicle routing problem that appears in industrial entreprises’.
He is the principal investigator of Imbipand, Study of the Impact of the Implementation of Public Bicycles in Spain. His research projects include ‘Searching for efficiency and sustainability of public decisions: a multi-criteria approach’. He directs the Master in Planning, Economics and Operation of Urban and Metropolitan Transport, of 90 ECTS and which is now in its 9th edition.
Her outstanding career in this field began 40 years ago when she was introduced to computer technology through the application of data in biomedical engineering and clinical informatics. In her doctoral thesis she proposed a system for the diagnosis, prognosis and therapy of foetal status.
Her research in Artificial Intelligence focuses on three main areas: the basic aspects of Artificial Intelligence, reasoning schemes and models, and knowledge engineering. Her numerous research projects, in fields as diverse as health, wind turbines or environmental conservation, include: ‘Scalable machine learning algorithms: Beyond classification and regression’ and ‘Locaw (Low-Carbon at Work: Modelling agents and organisations to achieve transition to a low-carbon Europe’. She has been president of the Spanish Association for Artificial Intelligence (Aepia).
His career includes the impetus he has given to numerous entities. He was previously director of the Institute of Mathematics of the University of Seville (IMUS), and was president of the Spanish Society of Statistics and Operations Research.
An expert in optimisation and operational research models, one of the main research projects in which he is involved is the European project NeEDS: ‘Research and Innovation Staff Exchange Network of European Data Scientists’, and he also stands out as director of the R&D&I project ‘Mathematical Optimization in Data Science: Towards Interpretability in Classification, Regression and Dimensionality Reduction’.
His lines of research are mainly devoted to the development of metaheuristic procedures for optimisation problems. Among the projects he is leading are ‘Cybersecurity, Network Analysis and Monitoring for the Next Generation Internet’.
He is also involved in the Teaching Innovation Group ‘Automatic Learning Environment Host for Obtaining Overpowered Programmers’ (Alehoop) to improve the teaching of programming at all levels: from Introduction to Programming to Algorithm Design and Analysis, including Data Structures.
He has a remarkable track record as a researcher in the convergence of computer science, artificial intelligence and operations research, carrying out projects for both private companies (IBM, Lilly, etc.) and public bodies in the United States such as the National Science Foundation, the Office of Naval Research, NASA and the Environmental Protection Agency.
He is the editor-in-chief of the scientific journal ‘Journal of Heuristics’, and co-founder of OptTek Systems, an optimisation software and consulting company for organisations using simulation models. His books on tabu search and sparse search are an important reference for students and researchers interested in combinatorial optimisation.
Expert in machine learning, computational intelligence, optimisation, operations management, algorithms, clustering, production planning, logistics, simulation. He has led the research ‘Selection of socially responsible investment portfolios: a multi-objective model and a tabu search method’. Among the projects he is currently leading is ‘Analysis of healthcare logistics problems: Multi-objective approach and use of metaheuristics’.
To address the logistical challenges in the exceptional health coverage in the face of the covid pandemic, he created the project ‘Systems for the Optimisation and Rationalisation of Health and Humanitarian Logistics Operations’ (Sorolsh), which was awarded in the call #Innovacionfrentealvirus by the Junta de Castilla y León.
Founder of GRINUBUMET on heuristic techniques.
Prominent research scientist in the fields of operations research, computer science and applied mathematics. His main area of research is mathematical optimization, where he has made significant contributions. An international expert in heuristic search for combinatorial optimization, he is known for his contributions in the development of metaheuristics, including GRASP (Greedy Randomized Adaptive Search Procedures), Path-Relinking and BRKGA (Biased Random-Key Genetic Algorithm) algorithms.
Dr. Resende is a regular speaker at international conferences, having published more than 180 papers and co-edited five books, including ‘Handbook of Applied Optimization’, ‘Handbook of Optimization in Telecommunications’, ‘Handbook of Heuristics’ or ‘Handbook of Massive Datasets’. In 2016, he published ‘Optimization by GRASP’.
Expert in Statistics and Operations Research. He has developed new transfer learning algorithms and frameworks based on machine learning for both tabular and image data. This includes homogeneous and heterogeneous transfer learning paradigms.
Recent research includes: ‘Object detection using depth completion and camera-Lidar fusion for autonomous driving’ and ‘Improving object detection for autonomous driving by optimising anchor generation and class imbalance steering’.
His research focuses on the application of metaheuristics to solve difficult real-life combinatorial optimisation problems. For example, the ‘Rated Power’ project, which developed an optimisation algorithm for the localisation of solar panels. And ‘Fotocaos’, creating new advanced computational methods for the simulation and optimisation of photochemical processes.
He teaches soft computing and introduction to computer vision research. He has been a reviewer of journals of impact in this field such as ‘Computers & Operations Research’ or ‘Journal of Metaheuristics’, among others.
The University of Extremadura has awarded him both the Excellence in Research Career Award (Senior Researchers category, 2023) and the Teaching Excellence Award (twice, 2019 and 2024). He is the coordinator of the ARCO Research Group of the University of Extremadura, registered in the Catalogue of Research Groups of Extremadura, as well as being the coordinator of the SEVA Teaching Innovation Group.
He is a member of the Institute for Research in Applied Information Technology of Extremadura (INTIA). He has been an evaluator of research projects in Spain (for the State Research Agency), France, the Netherlands, Poland, Chile and Uruguay. He has been an evaluator of university teaching positions in Spain, Saudi Arabia, Kuwait, Jordan and Pakistan. He has been an evaluator of Doctoral, Master’s and Bachelor’s Theses in Spain, India, Germany and Colombia.
His main research interests are metaheuristics, evolutionary and bio-inspired computing, multi-objective optimisation, artificial intelligence, natural language processing, bioinformatics and computational biology, and parallel and distributed computing.
The V CATEDRA Group Congress, an annual internal event promoting collaboration between OGA’s team and its Technology Advisory Board, the CATEDRA Group, took place on 21, 22 and 23 January 2026 at the Hotel Giralda Center in Seville.
The programme included a full schedule of sessions and debates, as well as two sector-specific panel discussions (Defence and Aerospace) with the participation of representatives from key companies in each sector.
The congress closed with the OGATHON 4.0, a team challenge featuring Artificial Intelligence, Operational Research and Cybersecurity challenges.
The fourteen experts gathered by OGA make up an outstanding group of leaders of research groups whose projects and publications have a high impact index at international level in computer science, data structure, design and analysis of algorithms, optimisation of economic and business processes, bioinformatics, metaheuristic procedures, reliable artificial intelligence, simulation models, among other specialities and techniques.
They operate from 12 universities, those of University of Colorado Boulder (U.S.A.), Universidade da Coruña, Universidad de Sevilla, Universidad Rey Juan Carlos (Madrid), Universitat de València, Universitat Politècnica de València, Universidad de Málaga, Universidad de Granada, Universidad de Extremadura, Universidad Pablo de Olavide (Seville), University of Washington and Universidad de Burgos. From all of them, they lead or co-lead R+D+i initiatives selected for support from national and European calls, in fields as important and diverse as biomedical engineering, environmental management, cybersecurity, autonomous driving or healthcare logistics.
Among the activities of the CÁTEDRA Group, Technological Advisory Board, it is worth highlighting the holding of annual conferences in Seville, OGA‘s headquarters, with presentations and working groups on innovative projects, new methodologies and techniques, and analysis of trends based on recent studies.
In the collaboration of the Advisory Board with OGA throughout the year, the exchange of information and references of interest is established on: studies, innovative projects, new developments to be taken into account as possible disruptive trends, opportunities for collaboration, talent spotting, and advice for the appropriate use of tools and methods in the development of technological solutions with predictive models that address problems of particular complexity.
