Personal profile
ShortBio
Dr. Eneko Osaba works at TECNALIA as researcher in the DIGITAL/Next area. He obtained his Ph.D. degree on Artificial Intelligence (Cum Laude) in 2015 in the University of Deusto. He has participated in the proposal, development and justification of more than 30 research projects. He has contributed in the development of more than 170 papers, including more than 30 Q1. He has performed several stays in universities of United Kingdom, Italy and Malta.
He has served as a member of the program and/or organizing committee in more than 50 international conferences. At HAIS 2015, IDC 2018, and IEEE ITSC 2024, Eneko was also member of the organizing committee, and he organized several special sessions in conferences such IEEE CEC, IEEE ITSC, IEEE SSCI or GECCO. Besides this, he is member of the editorial board of International Journal of Artificial Intelligence, Data in Brief and Journal of Advanced Transportation. Also, he has acted as guest editor in journals such as Journal of Computational Science, Neurocomputing, Journal of Supercomputing, Swarm and Evolutionary Computation and IEEE ITS Magazine. Furthermore, he has three European patents. Finally, in 2022, Eneko was recognized by the Basque Research and Technology Alliance as one of the most promising young researchers of the Basque Country, Spain.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Addressing the minor-embedding problem in quantum annealing and evaluating state-of-the-art algorithm performance
Gómez-Tejedor, A., Osaba, E. & Villar-Rodriguez, E., Sept 2026, In: Future Generation Computer Systems. 182, 108481.Research output: Contribution to journal › Article › peer-review
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An advanced hybrid quantum tabu search approach to vehicle routing problems
Holliday, J. B., Osaba, E. & Luu, K., Jun 2026, In: Quantum Machine Intelligence. 8, 1, 37.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
On the Transfer of Knowledge in Quantum Algorithms
Villar-Rodriguez, E., Osaba, E., Oregi, I., Romero, S. V. & Ferreiro-Vélez, J., Apr 2026, In: Expert Systems. 43, 4, e70211.Research output: Contribution to journal › Article › peer-review
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QOPTec: a modular platform for benchmarking quantum algorithms through combinatorial optimization problems
Miranda-Rodríguez, P. & Osaba, E., Feb 2026, In: SoftwareX. 33, 102507.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Comparative Analysis of Classical and Quantum-Inspired Solvers: A Preliminary Study on the Weighted Max-Cut Problem
Morais, A., Osaba, E., Pastor, I. & Oregi, I., 11 Aug 2025, GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Ochoa, G. (ed.). Association for Computing Machinery, Inc, p. 2449-2457 9 p. (GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Thesis
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DISEÑO E IMPLEMENTATION DE UNA NUEVA META-HEURISTICA MULTI-POBLACIONAL DE OPTIMIZACION COMBINATORIAL ENFOCADA A LA RESOLUCION DE PROBLEMAS DE ASIGNACION DE RUTAS A VEHICULOS
Osaba Icedo, E. (Author), 2015Doctoral thesis: Doctoral Thesis
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Prizes
Datasets
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Benchmark dataset and results for a real-world package delivery problem
Osaba Icedo, E. (Creator), Miranda Rodríguez, P. (Creator) & Villar Rodriguez, E. (Creator), Mendeley Data, 20 Mar 2025
DOI: 10.17632/253wjnx2hp
Dataset
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Benchmark dataset for logistic-oriented Bin Packing Problems
Osaba, E. (Creator), V. Romero, S. (Contributor) & Villar, E. (Contributor), Mendeley Data, 11 May 2023
DOI: 10.17632/9ts4rvkc5s.1, https://data.mendeley.com/datasets/9ts4rvkc5s
Dataset
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QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
Osaba Icedo, E. (Creator) & Villar, E. (Contributor), Mendeley Data, 22 Mar 2023
DOI: 10.17632/h32z9kcz3s.1, https://data.mendeley.com/datasets/h32z9kcz3s
Dataset
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Benchmark dataset and instance generator for Real-World 3dBPP
Osaba, E. (Creator), Villar, E. (Contributor) & V. Romero, S. (Contributor), Mendeley Data, 29 Apr 2024
DOI: 10.17632/y258s6d939.3, https://data.mendeley.com/datasets/y258s6d939
Dataset
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Results of the Eclipse Qrisp QAOA and two Qiskit-based QAOAs for the MaxCut Problem
Osaba Icedo, E. (Creator), Petric, M. (Other) & Oregui Bravo, I. (Other), Mendeley Data, 7 Mar 2024
DOI: 10.17632/b5gbz44m99
Dataset