Personal profile
ShortBio
Eric López Manibardo (PhD in Artificial Intelligence) works as a Data Analyst at TECNALIA. He graduated in Telecommunications Engineering at the University of the Basque Country (UPV/EHU) in 2017, obtained the Master in Telecommunications Engineering at UPV/EHU in 2019 and completed the PhD in Artificial Intelligence again at UPV/EHU in 2024. During his Thesis he spent 5 months at the Behavior Signal Processing Lab group at Nagoya University, Japan.
His research interests can be classified according to two criteria: technology and domain. The technologies he has handled include signal prediction and classification, clustering, image segmentation, and object tracking and identification. These technologies are applied to one-dimensional signals (with special emphasis on time series), two-dimensional signals (images) or tabular data (those expressed in table format). Regarding the scope of application, this is framed in Intelligent Transportation Systems (ITS) and autonomous vehicles. The projects that he develops with major interest are those related to the characterization of vehicular and pedestrian traffic, along with those projects focused on improving the perception of the environment of autonomous vehicles.
He is currently a member of the IEEE ITSS Ad Hoc Committee on Young Professionals, a group focused on helping young participants of the ITS society to achieve a stable and solid professional development, offering support in the form of networking events, trying to bring companies and professionals with more experience closer together.
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 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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Multi-criteria integration of passenger and freight transport for sustainable last-mile delivery logistics
L. Manibardo, E., Laña, I., Olabarrieta, I., Nocera, S. & Del Ser, J., Mar 2026, In: Transportation Research Interdisciplinary Perspectives. 36, 101887.Research output: Contribution to journal › Article › peer-review
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EVALUACIÓN Y GESTIÓN DE INFRAESTRUCTURAS EXISTENTES BAJO UNA PERSPECTIVA DE TOMA DE DECISIONES
Ignacio, P. S., Eric, L., Leire, G. & Laura, Q., 2024, REHABEND 2024 - Construction Pathology, Rehabilitation Technology and Heritage Management. Boffill, Y., Lombillo, I. & Blanco, H. (eds.). University of Cantabria - Building Technology R&D Group, p. 589-599 11 p. (REHABEND).Translated title of the contribution :EVALUATION AND MANAGEMENT OF EXISTING INFRASTRUCTURES FROM A DECISION-MAKING PERSPECTIVE Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles
Manibardo, E. L., Lana, I., Villar-Rodriguez, E. & Ser, J. D., 1 Aug 2023, In: IEEE Transactions on Intelligent Transportation Systems. 24, 8, p. 8701-8715 15 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles
Manibardo, E. L., Lana, I., Del Ser, J., Carballo, A. & Takeda, K., 2023, IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE Intelligent Vehicles Symposium, Proceedings; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks
Manibardo, E. L., Laña, I. & Del Ser, J., 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. Institute of Electrical and Electronics Engineers Inc., p. 4782-4789 8 p. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Thesis
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Estimación de flujos de movilidad en grandes áreas geográficas con modelos de Inteligencia Artificial de última generación
Lopez Manibardo, E. (Author), Del Ser Lorente (Supervisor) & Laña Aurrekoetxea (Supervisor), 2024Doctoral thesis: Doctoral Thesis
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