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HOME
ABOUT
Participating Institutions
PhD Program Structure
Organizational Structure
PEOPLE
Supervising PIs
Doctoral Researchers
Associated Doctoral Researchers
Contributing Researchers
Coordinating Office
RESEARCH
Projects
Dissemination
EVENTS & TRAINING
Lecture Series
PhD Seminar
Workshops
Retreats
Spring Schools
External Events & Training
ADMISSION
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News from HEIBRiDS
News from HIDA/HIDSS

HEIBRIDS › PEOPLE › Doctoral Researchers
Siddhant Agarwal

Unravelling the Interior Evolution of Terrestrial Planets Through Machine Learning

Binayak Ghosh

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

Paolo Graniero

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

Brian Groenke

Quantifying and explaining uncertainty in modeling permafrost thaw under a warming climate

Thorren Kirschbaum

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

Olga Kondrateva

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

Henning Lilienkamp

Enhanced Computational Approaches for Seismic Risk Assessment of Infrastructure Networks

Oleksii Martynchuk

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

Nicolas Miranda

An unsupervised census of astrophysical transients in the universe

Jannes Münchmeyer

Earthquake rupture predictability and the limitations of early warning

Lusiné Nazaretyan

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

Gregor Pfalz

Arctic Environmental Data Analytics

Sergey Redyuk

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

Tabea Rettelbach

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

Elizabeth Robertson

Building a Photonic Processor for Energy-Efficient AI

Kanishka Singh

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

Hermann Stolte

Dynamic Scheduling of Gamma-ray Source Observations

Kevin Styp-Rekowski

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

Peter Tillmann

Optimizing nanotextured solar cells for realistic weather conditions

Christian Utama

Explainable Artificial Intelligence and Trust in the Energy Sector

Femke van Geffen

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

Nadja Veigel

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

Anna Vlot

Feature identification for single-cell omics data

Leon Weber

Corpus-wide inference of gene relationships using semantic word representations

Xiaoyan Yu

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

Freie Universität Berlin Humboldt-Universität zu Berlin Technische Universität Berlin Charité - Universitätsmedizin Berlin Helmholtz Information & Data Science Academy (HIDA) Einstein Center Digital Future Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research (AWI) Deutsches Elektronen-Synchrotron (DESY) German Aerospace Center (DLR) German Research Centre for Geosciences (GFZ) Helmholtz Zentrum Berlin für Materialien und Energie (HZB) Max-Delbrück Center for Molecular Medicine (MDC)
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