Research Projects

MarDATA 2nd Cohort

Kiel

  • Attribution of climate events - Exploring methods of explainable AI learn more
  • The digital Lab Book: Data lineage and workflow documentation in visual data exploration learn more
  • Links between volcanism and climate learn more
  • Deep neural networks for the prediction of sediment accumulation at the seafloor learn more
  • Neural networks reveal evolving patterns of ocean carbon uptake learn more
  • Deciphering ocean currents with neural networks and data mining learn more
  • Learning underwater visual appearance for robust seafloor surveys learn more
  • Cooperative 2D inversion of seismic texture and CSEM data to delineate hydrogeological parameters of offshore aquifers learn more
  • Automated event detection and data-analytics in distributed seafloor sensor networks 
  • Data and process mining to understand seafloor plate tectonics learn more
  • Real-time autonomous hydroacoustic object detection learn more

Bremerhaven/Bremen

  • Using machine learning to define and characterise 3D ocean regions learn more
  • Inverse methods for ice sheet surface elevation changes with an application to West Antarctica learn more
  • 4-D Phytoplankton composition from small to large scale by data fusion using AI learn more
  • Tracking extended internal stratigraphy in ice sheets from machine learning approaches learn more
  • Automated marine data quality control - A machine learning approach
  • Paleo Climate reconstruction using multi-fidelity machine learning learn more
  • Palaeogenomic networks reveal ecosystem turnover related to sea-ice decline
  • Bayesian Chronology Modelling for Paleoclimate Archives learn more
  • Digital Ice-Cores; Paleo-Climate reconstruction using Bayesian modeling learn more

 

MarDATA 1st cohort

Kiel

  • Semantic Seafloor Mapping learn more
  • Navigation and Sensor Fusion for Automated Observation and Data Assimilation learn more
  • Developing bioinformatic tools for detecting low-frequency genetic variants in large marine (meta)genomic data sets learn more
  • A machine-learning approach for detection of mobile replicons in metagenomics learn more
  • Development of adapted Kernel Density Estimators for the calibration of marine biogeochemical models learn more
  • Automated Testing of Marine Data-Science Applications learn more
  • Cross-domain Marine Data Fusion: Discover Knowledge on Open Ocean Oxygen Minimum Zones learn more
  • Machine Learning for Petrophysical Predictions learn more
  • From Geological Text to Knowledge (GeoTeK): Investigation of scalable text mining methods for discovering and managing marine geological data learn more

Bremerhaven/Bremen

  • Application of neural networks to chemical systems in earth system modelling learn more
  • Machine learning for validation and interpretation of large-scale chemical data in the ocean learn more
  • Reactive Control and Adaptive Sampling using an Autonomous Underwater Vehicle learn more
  • System analysis in climate data learn more
  • Monitoring a stressed ice-shelf: Machine learning algorithms to detect icequakes in 20 years of seismological records at Neumayer station, Antarctica learn more
  • Machine learning approaches in climate modelling learn more