Tomas pariente
Tomás Pariente Lobo
R&D Team Leader
Madrid

Tomás Pariente (male) has a Bachelor’s degree in Telecommunication Engineering by the UPM (Spain).

His technical expertise is mainly in Artificial Intelligence, Big Data, Linked Data, and knowledge management. This expertise started in 1987 when he joined the company Indra Sistemas, where he has taken part in multiple commercial and R&D projects.

Since June 2006 he works as a project manager and technical coordinator for EU-based projects in semantic and big data technologies in the Research & Innovation department of Atos, where he currently heads the Big Data & Advanced Parallel Computation Unit. Tomás is involved in several organizations and initiatives in these technologies, such as BDVA or the European AI Alliance.

He was coordinator of the EU FP7 project FIRST and is currently working actively in research activities in the H2020 project AI4EU, the European AI on-demand platform (leading the AI4Agriculture pilot), the H2020 project DEMETER, where he has an active role in AI and big data solutions for the agrifood domain, the H2020 SCA BDVe, supporting the action of the Big Data PPP and DataBench, for benchmarking of big data solutions. In recent years he contributed to several other EU projects such as BigMedilytics, QROWD, PHEME, MLi, VELaSSCo, LeanBigData, BIG, VPH-Share, KHRESMOI, TaToo, FIWARE, Virtuoso, SOA4ALL, NeOn, TAO, LUISA or INFRAWEBS. He participated and coordinated several Spanish R&D projects.

 

Publications

Engineering Resource-Efficient Data Management for Smart Cities with Apache Kafka

Future Internet
Tomás Pariente Lobo
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

3D human big data exchange between the health and garment sectors. Lessons learned in the BodyPass project

BodyPass
Sergio Salmerón Majadas
Iván Martínez Rodríguez
Tomás Pariente Lobo
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

MDPI Sensors
Tomás Pariente Lobo
Daniel Calvo Alonso
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

Building the DataBench Workflow and Architecture

International Symposium on Benchmarking, Measuring and Optimization
Iván Martínez Rodríguez
Tomás Pariente Lobo
In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.

PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management

SPRINGER - IFIP International Conference on Artificial Intelligence Applications and Innovations
Ricard Munné Caldes
Tomás Pariente Lobo
et al
While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

Parallelization and Deployment of Big Data Algorithms: The TOREADOR Approach

Iván Martínez Rodríguez
Jorge Montero
Tomás Pariente Lobo
et al
32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120