Euranova has 3 fundamental pillars: explore, craft and serve. The explore pillar of Euranova is an independent research centre dedicated to data science, software engineering and AI.
Through the exploration of tomorrow’s engineering and data science to answer today’s problems, our research centre is dedicated to anticipating the challenges that European businesses face. We find solutions to current and future digital challenges with passion, creativity and integrity.
Euranova has 3 fundamental pillars: explore, craft and serve. The explore pillar of Euranova is an independent research centre dedicated to data science, software engineering and AI.
Through the exploration of tomorrow’s engineering and data science to answer today’s problems, our research centre is dedicated to anticipating the challenges that European businesses face. We find solutions to current and future digital challenges with passion, creativity and integrity.
Intelligent Data Integration for Complex Problem Solving
This November, our research director and senior researcher Sabri and Gianmarco took part in the kick-off of a TETRA project led by KU Leuven that aims to develop a methodology for combining data from different sources to solve complex configuration problems in a decentralised way. Sometimes, knowledge needs to remain decentralised. A typical example is a health care system that requires making a decision for a patient. The decision process might be complex and needs information from multiple sides that cannot be centralised. Yet, in front of complex problems, many interesting applications require data from different sources. A few months ago, the KU Leuven and Anastasia Dimou asked Euranova to bring its expertise to their new project: develop a methodology for capturing knowledge from different sources without physically merging the data and considering GDPR constraints. If achieved, it will provide sophisticated decision support in a variety of domains, such as medicine, finance, telecommunications or marketing. In the upcoming months, we will work to determine the future directions, including the technologies to investigate, the case studies to develop, and the training to organise Very excited to embark on this new adventure!
Internships 2023
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.
AI For Aviation
Our team works with EUROCONTROL and WaPT to safely reduce wake separation between flights. Read on to read more about the two papers they recently published!
IEEE Streaming Workshop / Keynote Announcement
We are delighted to announce Pablo Estrada from Google and Fabian Hueske from Snowflake as the two keynote speakers of our seventh Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data.
We Collaborate on the TAUDoS Project
We started a new collaboration with Aix-Marseille University, Montreal University, Nantes University, and St-Etienne on a four-year project called TAUDoS, which focuses on Trustful AI.
DEBS 2022
In June 2022, our research director Sabri Skhiri and the head of the data science department Madalina Ciortan travelled to Copenhagen to attend DEBS 2022, the leading conference focusing on distributed and event-based systems.
Calibrate to Interpret
Trustworthy machine learning is driving a large number of the ML community works in order to improve ML acceptance and adoption. In this paper, we show a first link between uncertainty and explainability, by studying the relation between calibration and interpretation.
Mass Estimation of Planck Galaxy Clusters using Deep Learning
Galaxy cluster masses can be inferred indirectly using measurements from X-ray band, Sunyaev-Zeldovich (SZ) effect signal or optical observations. Unfortunately, all of them are affected by some bias. Alternatively, we provide an independent estimation of the cluster masses from the Planck PSZ2 catalogue of galaxy clusters using a machine-learning method.
Master Thesis Offers 2022-2023
We offer master thesis supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.
Congrats, Dr Ciortan!
We are super proud of our colleague Madalina who defended two weeks ago her PhD at the Université libre de Bruxelles. She studied unsupervised analysis of RNA sequencing protocols data, and brilliantly succeeded.
Privacy Enhancing Technologies 2022: A Summary
In April 2022, our research director Sabri Skhiri travelled to Zurich to attend the Privacy Enhancing Technologies Summit 2022, dedicated to PETs and their uses (enhance data security, facilitate compliance, and create value).
Automatic Parameter Tuning for Big Data Pipelines
Big data frameworks generally constitute a pipeline, each having a different role. This makes tuning big data pipelines an important yet difficult task given the size of the search space. We propose to use a deep reinforcement learning algorithm to tune a fraud detection big data pipeline.