Unravelling the Interior Evolution of Terrestrial Planets Through Machine Learning

Online Learning and Decision Making for Real-Time Analytics of Synthetic Aperture Radar (SAR) Data

Data-Driven Time-Dependent Multiphysics Simulation and Optimization of Electron Solvation from Nanodiamonds

Data Analytics for Solar Energy Yield and Optimization Possibilities for Load Management of Electric Buses

A data-centric workflow for autonomous monitoring of Arctic land surface parameters

On-board Image Classification based on Space-Based FPGA Processing

Enhanced Computational Approaches for Seismic Risk Assessment of Infrastructure Networks

Identification of Rock Falls in Mars Reconnaissance Orbiter Images Using Machine Learning

An unsupervised census of astrophysical transients in the universe

Earthquake rupture predictability and the limitations of early warning

Identification of Disease-causing Genetic Variants by Genome-wide Predictions of Human Variant Effects

Arctic Environmental Data Analytics

End-to-End Management of Experimental Data Science on Biomedical Molecular Data

Facilitating Machine Learning on Super-High Resolution Earth Observation Data for Detecting and Quantifying Arctic Permafrost Thaw Dynamics

Building a Photonic Processor for Energy-Efficient AI

Machine Learning Meets Theoretical Chemistry: Data-driven Analysis of Grapheneoxide

Dynamic Scheduling of Gamma-ray Source Observations

Multi-satellite Approach of Monitoring Atmosphere/Magnetosphere Space Weather Interactions

Optimizing nanotextured solar cells for realistic weather conditions

Explainable Artificial Intelligence and Trust in the Energy Sector

Data fusion using remote sensing data and machine/deep learning techniques to better understand present past and future vegetation dynamics in Central Yakutia

Data Mining Dynamic Human Behaviors for Flood Risk Assessment in Coupled Human-environment Systems

Feature identification for single-cell omics data

Corpus-wide inference of gene relationships using semantic word representations

Deep Learning with sparse annotations for the analysis of lung tissue microscopy images