OGA reinforces its excellence in artificial intelligence and process optimisation with a Technological Advisory Board comprising 13 professors and researchers at the highest international level in data-driven technology solutions.
OGA Director.
“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”.
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 distinguished 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 his doctoral thesis he proposed a system for the diagnosis, prognosis and therapy of fetal status.
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 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’.
A leading expert in the fundamentals and applications of ‘soft computing’, he pioneered the hybridisation of fuzzy systems and evolutionary algorithms, thus developing the research field of ‘genetic fuzzy systems’. He is a distinguished research associate at the European Centre for Soft Computing. He has chaired the Online Training and Educational Technologies working group, promoted by the Conference of Rectors of Spanish Universities.
As a researcher, he has provided solutions to problems such as the control of ventilation and air conditioning systems for large buildings, the analysis of DNA microarrays in bioinformatics, the modelling of electrical power distribution, the balancing of assembly lines, or the design and mining of visual maps of science. He is also an expert in social network analysis and marketing modelling.
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 Handbook of Combinatorial Optimisation is a reference book for students and researchers worldwide.
His teaching and research interests include Statistics, Mathematical Programming and Heuristic Optimisation. He is ranked by Stanford University as one of the most cited researchers in the world in his field.
He is also a research associate at OptTek Systems. His latest book is ‘Metaheuristics for Business Analytics’. He coordinates with Abraham Duarte the Optsicom research project on optimisation of complex systems, in which they develop algorithms, based on metaheuristic methods, which integrated in software solve difficult optimisation problems.
His main lines of research focus on optimisation of economic-business processes, the design of optimisation algorithms based on artificial intelligence (metaheuristics), their computational implementation and their application to challenges such as forest management and planning, location of facilities, distribution of spaces, analysis of tourism sustainability, planning of public investment, school transport, problems of clustering and market segmentation, design of commercial territories, logistics, etc.
He has extensive experience in modelling and solving very different complex systems related to very diverse real problems, such as climate change, a field in which he has been researching for the last three years using data analytics. He teaches Numerical Methods in Static Optimisation, and Numerical Methods in Economics and Finance.
She drives the Research Group called the Planning and Scheduling Reasoning Group, which works in several areas of artificial intelligence as well as in advanced computer-based systems. Among its research lines: Temporal Reasoning, Distributed Algorithms, Expert Systems, Planning Optimisation, Multi-agent Planning: cooperative and competitive environments.
Among the national and European research projects in which Eva Onaindía is participating, it is worth highlighting: ‘Clusteria: High Performance Computing Cluster by Reliable Partial Intelligence’, ‘Fundamentals of Reliable Artificial Intelligence: integration of reasoning, learning and optimisation’, and ‘Activity Recognition and Automatic Planning for the Design of Intelligent Assistants’.
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.
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.
His main research interests include parallel and distributed computing, multi-objective optimisation, evolutionary and bio-inspired computing, bioinformatics, embedded and reconfigurable computing. He is currently leading the projects ‘High Performance Artificial Intelligence for Optimising RNA Sequence Design’, and ‘Advanced Multi-objective Optimisation Techniques and High Performance Computing Applied to Bioinformatics’.
His European research projects include ‘Design and Implementation of a Low-Cost Intelligent System for Pre-Diagnosis and Telecare of Infectious Diseases in Elderly People’.
The thirteen 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 10 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) y 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 biannual 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 CÁTEDRA Group 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.
Download the presentation dossier of the CÁTEDRA Group, OGA‘s Technological Advisory Board.
