Technical Standardisation for Trustworthy ICT, Aerospace and
Core research pillars
With a special focus on
Core scientific research areas, technical
standardisation needs, and identification of gaps
between research and standardisation.
Deepen data and AI capabilities and continuously drive
innovation in 3 major economic sectors of Luxembourg.
Nowadays the space sector is no longer an exclusive market for
governments and military applications. As access to space has
become cheaper, more private companies have entered the space
business, increasing its popularity. The increase in the amount
of satellite data, as well as the increase of satellite data
providers, have made necessary the use of satellite data
marketplaces to facilitate access to satellite data. In our
research, we center on problems related to these satellite data
marketplaces. In particular, we focus on the NP-hard
combinatorial problem of selecting the cheapest set of images
that meet certain quality criteria, such as cloud coverage
percentage, incident angle, resolution, etc, such that these
images may be used to form a bigger image to study extensive
regions. We are also developing machine learning techniques to
forecast the demand for satellite images of a region after
certain events, for example, floods, earthquakes, etc.
Satellite data marketplaces
Machine-learning to forecast demand
With our research, we are extending the machine learning
capabilities of distributed systems to make truly autonomous
swarms of satellites a reality. These will give unprecedented
flexibility and resilience to future space missions while also
reducing the cost of missions in the long term. By
simultaneously identifying related standardisation needs in this
field, we prepare stakeholders to be ready for liftoff when the
Innovative satellite swarm techniques
Novel machine-learning strategies
New space mission frontiers
The development of the construction industry is one of the
manifestations of the growth and development of communities.
The highest share of fixed capital accumulation and the
highest share of employment is in this industry sector.
Improving the quality in the production of materials, design
and implementation methods, speeding up the construction
process, competition in the advancement of technology, optimal
use of labor and the use of new construction technologies are
among the influential components in this industry.
With our research, we aim to increase the efficiency and
quality control of the construction sector through the
optimisation of some fundamental variables, which carry
important roles in this industry.
Enhancement of construction quality
Reducing macroeconomic costs
Research at the forefront of three fast-developing domains
Identification of standardisation gaps
Identifying standardisation needs to prepare for the future
Encouraging uptake of research output by stakeholders