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Tag Archives: research project
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 … Continue reading
Posted in projects
Tagged Bridge Defect Detection, Contrastive Learning, innossuise, LeanBI, machine learning, research project, Self-supervised learning
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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 … Continue reading
Posted in projects
Tagged machine learning, research project, snsf
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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 … Continue reading
Posted in projects
Tagged machine learning, Naoya Takeshi, research project, snsf
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Post-doc position on grey-box machine learning (currently open)
The Data Mining and Machine Learning group (http://dmml.ch/) at the University of Applied Sciences in Geneva has an opening for a full-time post-doc position. The research target is to develop grey-box (hybrid) machine learning methods that combine data-driven models such … Continue reading
Posted in news, recruitment
Tagged Alexandros Kalousis, dmm, machine learning, Naoy Takeishi, postdoc, project, recruitment, research project, snsf
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Four new research projects!
The second half of 2022 has been very exiting! Our team has kicked-off 4 new research projects. In short, the projects are the following ones: EO4EU: a Horizon Europe project related to Earth Observation Automated Bridge Defect Recognition: an Innosuisse … Continue reading
Posted in news
Tagged Alexandros Kalousis, eo4eu, european project, Greg, Grigorios G. Anagostopoulos, Horizon, innossuise, project, research project, snsf, synergia
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Dmml is growing by the addition of three new team members
We are delighted to announce that our team has grown, as three new members have joined us within the last months. Dr. Nils Schaetti has joined our team this Fall. Nils holds a PhD from the University of Neuchâtel and … Continue reading
Posted in news
Tagged generative modeling, Hervégil, imahn, new member, nils, phd, phd in machine learning, phd student, postdoc, project, research project, snsf
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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 … Continue reading
Posted in projects
Tagged Contrastive Learning, earth observation, Horizon, Learned Compression, project, research project, Self-supervised learning
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LiBertaS: New research project funded by the Halser Foundation
We are very pleased to announce that the Hasler Foundation has approved the project proposal of Dr. Grigorios Anagnostopoulos, and will fund the project "LiBertaS". LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate … Continue reading
Posted in news
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project
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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems
LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. Location Based Services (LBS) have recently undergone a tremendous increase … Continue reading
Posted in projects
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project
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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods
Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading
Posted in projects
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project, snsf, VAE
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