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Work Background
Software Engineering Professor
U-tadSoftware Engineering Professor
Sep. 2024Las Rozas de Madrid, Community of Madrid, Spain
Senior Data Scientist
Innova-tsnSenior Data Scientist
Mar. 2024 - Aug. 2024Madrid, Community of Madrid, Spain
Assistant Professor
Universidad Politécnica de MadridAssistant Professor
Mar. 2021 - Jan. 2024Madrid, Comunidad de Madrid, EspañaCategory: Assistant Professor. Department: Computer Systems. Center: Escuela Técnica Superior de Ingeniería de Sistemas Informáticos (ETSISI). University: Universidad Politécncia de Madrid. Date: from March 22, 2021, to January 25, 2024. Total hours taught: 528. Total credits taught: 44. Undergraduate final projects supervised: 7. Master's final projects supervised: 1. Teaching Activities and Degrees: Common subjects for degrees in Computer Engineering, Software Engineering, Information Systems, and Technologies for Information Society at ETSISI: Subjects: "Data Structures" and "Concurrent and Advanced Programming." Software Engineering Degree: Subject: "Requirements Engineering and Modeling." Information Systems Degree: Subject: "Geographic Information Systems." Computer Engineering Degree: Subject: "Embedded Systems." Data Science and Artificial Intelligence Degree: Subject: "Algorithms and Data Structures." Subjects in Postgraduate Degrees: Master's Degree in Internet of Things (IoT) - International Master: Subject: "Big Data Applications for IoT." Language: English. Master's Degree in Distributed and Embedded Systems Software: Subject: "Services and Internet Application Protocols."
Researcher
Universidad Politécnica de MadridResearcher
Oct. 2019 - Mar. 2021Madrid y alrededores, EspañaI have collaborated on the following European research projects: Project Name: TERAFLOW: Secured autonomic traffic management for a Tera of SDN flows. Funding Entity: European Commission H2020. Agreement No: 101015857. Duration: 30 months. Total Amount: €5,900,000. Project Name: BOOST 4.0: Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0. Funding Entity: European Commission H2020. Agreement No: 780732. Duration: 36 months. Total Amount: €14,983,516. Project Name: SPIDER: a CyberSecurity Platform for vIrtualiseD 5G cybEr Range services. Funding Entity: European Commission under the H2020 SU-DS program. Agreement No: H2020-833685. Duration: 36 months. Total Amount: €5,746,595. Project Name: TOSHI 2020: Total System. Funding Entity: European Institute of Innovation and Technology (EIT) as part of the Horizon 2020 program. Agreement No: 20393. Duration: 12 months. Total Amount: €729,290. Project Name: Deep-Augur 2019. Funding Entity: European Institute of Innovation and Technology (EIT) as part of the Horizon 2020 program. Agreement No: EIT-18217-19. Duration: 12 months. Total Amount: €666,621.
Data Scientist
StratioBDData Scientist
Aug. 2017 - Sep. 2019Madrid y alrededores, Españaa. Development of systems based on Intelligent Assistants using Deep Learning and Natural Language Processing techniques. b. Unsupervised Artificial Intelligence-based data mining solutions from Geospatial Climate, Points of Interest, and Sociodemographic information. c. Business profit forecasting simulator based on a set of business actions, using Machine Learning models. d. Optimization solution for selecting a set of items to sell in each store based on future profits, using Machine Learning models. e. Various profit forecasting solutions based on the combination of items in a store, considering item cannibalization and employing Machine Learning models.
Research Intern
ONTIC (Online Network Traffic Characterization)Research Intern
Sep. 2014 - Dec. 2016Madrid y alrededores, EspañaTasks performed: a. Deployment and administration of a Cloud System consisting of 10 conventional computers with 48 cores and a total of 168GB of RAM, running on the CentOS (Linux) operating system. b. Deployment and maintenance of the distributed computing and Big Data environment with Apache Hadoop, Apache Spark, and Apache Giraph. c. Development and execution of massively parallel computing experiments based on distributed Big Data systems using Hadoop, Apache Spark, and Apache Giraph for various active research projects in the laboratory. d. Research on Deep Learning methods for forecasting network traffic based on time series data. e. Research on Machine Learning methods for classifying types of network traffic (collaboration on the European project called CogNet). f. Deployment of a Digital Twin of network environments for automated and labelable network traffic generation, called Mouse World (collaboration on the European project called CogNet). I have collaborated on the following European research projects: Project Name: CogNet: Building an Intelligent System of Insights and Action for 5G Network Management. Funding Entity: European Commission under the H2020 5G PPP program. Agreement No: H2020-671625. Duration: 30 months. Total Amount: €5,972,820. Project Name: ONTIC: Online Networks Traffic Characterization. Funding Entity: European Commission under the FP7 program. Agreement No: 619633. Duration: 36 months. Total Amount: €3,632,063.
Developments and systems deployments
EricssonDevelopments and systems deployments
Jul. 2013 - Jul. 2014Campus Sur, Vallecas, MadridTasks performed: - Linux Server Administration. - Development of scripts to test the performance of Suse (Linux) Cloud Systems. - Deployment and development of self-deployment scripts for Cloud Systems with libvirt (KVM). - Deployment of Network Traffic and Cloud System state monitoring software on Suse (Linux) using Nfsen, Nfdump, and Zenoss. - Deployment of VPN connections for the Cloud System using OpenVPN and OpenVSwitch. - Development of traffic monitoring plugins for Zenoss in the Python programming language. - Development of Machine Learning programs for Network Traffic classification. - Configuration and deployment of solutions in Apache Spark (Big Data).
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