Pedro L. Email & Phone Number

País Vasco / Euskadi, España

Working on Smart Systems area, Factory Learning group.Experience in the whole pipeline of the data, from obtention to deployment, from Industry 4.0 projects. Data project management.

País Vasco / Euskadi, España

Working on Smart Systems area, Factory Learning group.Analyze, creation, and application of Machine and Deep Learning models for different European projects related with Industry 4.0.

Bilbao Y Alrededores, España

Working on Autonomous Vehicle Perception Systems, both driver and world related using Deep Learning techniques.Working with Velodyne LiDARs devices for environment perception, object detection, stop-and-go, etc.Also, applying Convolutional Neural Network to Driver Monitoring Systems using Basler cameras.Code languages used: Python, ROS.

País Vasco / Euskadi, España

Teaching Machine Learning and Deep Learning classes and mentoring projects in Saturdays AI Euskadi.

Bilbao Y Alrededores, España

In charge of the R&D part related to the detection of traffic signs using Deep Learning. Among my responsibilities are all those related to the model during its useful life: from preprocessing the images to feed the model to its deployment for use in production.

• Working as Research Assistant in H2020 TIMON project (https://www.timon-project.eu/). My responsibilities are:
• To co-develop the module of Traffic Prediction, which includes the processing of real world traffic data from diverse heterogeneous sources as well as connect it to different open-source platforms such as OpenTraffic.
• To co-develop and refine AI method based on FARCHD to create the different models that feed the module.
• To write different technical deliverables about the results obtained in simulations and real world testings.
• To revise different kind of deliverables from the rest of the project partners.
• To test the different systems in live environments (testing weeks), resolve problems in-situ, and generate production models.

Bilbao Y Alrededores, España

PhD about the application of Artificial Intelligence techniques for short-term traffic congestion forecasting focused on Hybrid Metaheuristics and Fuzzy Systems under the supervision of Dr. Enrique Onieva and Dr. Asier Perallos. Several papers accepted in different international conferences such as GECCO and HAIS as well as the presentation of two.

Working on Mobility unit from DeustoTech while I was completed a Master in Advanced Artificial Intelligence at the Universidad Nacional de Educación a Distancia (UNED) Use of Matlab to develop hierarchical fuzzy systems and metaheuristics. Use of KEEL framework to create comparatives between methods and expose the results in the final work of the master.

Doctorado, Ingeniería

Activities and Societies: Integrante del grupo de investigación DeustoTech Mobility Doctorado en Ingeniería para la Sociedad de la.

Master'S Degree, Inteligencia Artificial

Máster terminado en Septiembre de 2014 con el TFM "Optimización de Sistemas Basados en Reglas Difusas para predicción de congestiones de.

Master'S Degree, Soft Computing Y Sistemas Inteligentes

Trabajo Fin de Máster (TFM) titulado "Uso de Técnicas de Soft Computing para la detección de Latidos Materno-Fetales" realizado bajo la.

Bachelor Of Engineering (Beng), Ingeniería De Sistemas

Activities and Societies: #AlfaTeam