Collaborations

Projects

A representative list of research projects of our group.

  • ROAD-TRIPIN

    ROAD-TRIPIN: Reinforcing Openly Accessible Data for Transparency and Reproducibility in Indoor Positioning and Indoor Navigation research   Under construction! Read more

  • Dream FAIRer

    Under construction! Read more

  • HYPER-AI

    The HYPER-AI project aims to revolutionize the field of distributed computing by addressing the complexities of integrating Internet of Things (IoT), Edge, and Cloud computing domains. It focuses on the creation of smart virtual computing nodes, optimizing data-processing applications across a distributed network to enhance performance and efficiency. HYPER-AI leverages autonomous, self-organizing computing swarms, enabling ... Read more

  • CoORDinance

    CoORDinance - Shaping A Code of Conduct Concerning the ORD of the Indoor Positioning Research Field   The CoORDinance project aims to develop a comprehensive Code of Conduct for Open Research Data (ORD) in the Indoor Positioning (IP) field, addressing the current lack of standardized ORD practices and its fragmented ORD landscape. CoORDinance builds on the findings of ... Read more

  • CoORDinates

    CoORDinates – Towards a Consensus-based ORD Standard for the Indoor Positioning Community The community of indoor positioning research has identified the need for a paradigm shift towards more reproducible and open research. Over the last years, a slowly increasing tendency of openly sharing data and code has been observed in field, facilitating the establishment of baselines ... Read more

  • Learning generative models for molecules

    Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process is often cumbersome and error-prone. However, there is an abundance of molecule-related data in the ... Read more

  • Automated Bridge Defect Recognition

    Infrastructure assets, such as bridges, need to be inspected regularly. Our objective is to reduce the need for human involvement, minimize risks to health and safety, decrease the impact of subjective engineering assessments, digitize asset management, and promote sustainable inspection practices. By achieving these goals, we aim to develop optimal maintenance strategies for infrastructure assets, ... Read more

  • MIGRATE – A Multidisciplinary and InteGRated Approach for geoThermal Exploration

    To mitigate climate change, our society must reduce its carbon footprint coming from fossil fuel energies and favor green energy solutions instead. Geothermal energy is a resource this available in abundance. However, the development of this sector is hindered by the insufficient subsurface information, resulting in high exploration risks. To overcome these obstacles and enrich ... Read more

  • Interpretable Condition Monitoring for Complex Engineering Systems

    Just as it is important for us to monitor our own body in order to maintain good health, we should have an accurate understanding of the state of engineering systems in order to prevent failures. In this project, entitled "Interpretable Condition Monitoring for Complex Engineering Systems", we investigate machine learning methods to build a condition ... Read more

  • EO4EU: AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation

    A vast amount of Earth Observation (EO) data is produced daily and made available through online services and repositories. Contemporary and historical data can be retrieved and used to power existing applications, to foster innovation and finally improve the EU citizens’ lives. However, an undersized audience follows this activity, leaving huge volumes of valuable information ... Read more

Partners

We proudly present our partners, with whom we have collaborated in numerous research projects, offering an applied machine learning approach in solving real world problems. If you are interested in a collaboration, do not hesitate to contact our team.

Internships

The members of our group have been to various prestigious institutions for internships, during which they've sharpened their skills and expertise.

Magda Gregorova,  IBM Research, June - September 2015

Jason Ramapuram, Apple AI research, June - September 2017, January - March 2019

Amina Mollaysa, Alan Touring Institute, August - September 2018, September - October 2019

Lionel Blonde, Apple AI research, June - September 2019

Jason Ramapuram, Deep Mind, December 2019 - March 2020