Doctoral Theses

Madan, Sumit:
Biomedical Relation Extraction Using Transfer Learning Methods.
Universität Bonn, 2026

Climaco, Paolo:
Passive and model-agnostic sampling for training data development in machine learning regression.
Universität Bonn, 2025

Gadiya, Yojana:
Bridging in-vitro, in-silico and corporate realms for pharmaceutical drug discovery.
Universität Bonn, b-it, 2025

Raschka, Tamara:
Data-Driven Strategies in Neurodegenerative Diseases: Advancing Drug Development and Disease Management.
Universität Bonn, b-it, 2025

Salimi, Yasamin:
Enhancing Data Interoperability in Alzheimer’s Disease Cohort Studies via Comprehensive Semantic and Statistical Analyses.
Universität Bonn, b-it, 2025

Barker, James Nicholas John:
Order-Theoretic Combination Techniques and the Electronic Schrödinger Equation.
Universität Bonn, 2024

Birkenbihl, Colin:
Towards enabling precision medicine in Alzheimer's disease and Parkinson's disease.
Universität Bonn, 2024

Düsseldorf, Denis Alexander:
Optimal Numerical Basis Functions in the Partition of Unity Method.
Universität Bonn, 2024

Grommes, Dirk:
Untersuchung des mikromechanischen Verhaltens von Polyethylen mittels vergröberter Molekulardynamik Simulationen.
Universität Koblenz / Hochschule Bonn-Rhein-Sieg, 2024

Hahner, Sara Vera:
Low-dimensional Representations for Diverse Collections of 3D Surface Meshes.
Universität Bonn, 2024

Pakiman, Anahita:
Knowledge Graph for CAE-based Development in Vehicle Safety.
Bergische Universität Wuppertal, 2024

Paparella, Biagio:
The Signature Transform in Numerics and Machine Learning.
Universität Bonn, 2024

Zhou, Yanying:
Social-aware Robot Navigation based on Deep Reinforcement Learning.
Universität Bonn, 2024

Birner, Matthias:
Global-Local Techniques for Fracture.
Universität Bonn, 2023

Gries, Silvia:
Algebraic Multigrid for Eigenproblems in Industrial Applications of Big Data and Engineering.
Universität Bonn, 2023

Kracker, David:
Automatisierte Auswertung von Crashsimulationen unterschiedlicher Fahrzeug-Entwicklungsstände mit Methoden des maschinellen Lernens.
Bergische Universität Wuppertal, 2023

Mubeen, Sarah:
Contextualizing and interpreting biological data with pathway knowledge and network algorithms.
Universität Bonn, 2023

Sood, Meemansa:
AI Models for Modeling and Simulation of Clinical Studies for Alzheimer’s and Parkinson’s Disease.
Universität Bonn, 2023

Tesch, Jan Tobias.:
Interpretable Deep Learning for Studying the Earth System: Soil-Moisture-Precipitation Coupling Across Europe.
Universität Bonn, 2023

von Rüden, Laura:
Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems.
Universität Bonn, 2023

Wilde, Dominik:
Lattice-Boltzmann-Verfahren hoher Ordnung zur Simulation kompressibler Strömungen
Universität Siegen, 2023

Golriz Khatami, Sepehr:
Deconstructing and Approaching Heterogeneities in the Biomedical Field via Computational Modeling.
Universität Bonn, 2022

Ziegenhagel, Albert:
Robust & Efficient Treatment of Industrial-Grade CAD Geometries for a Flat-Top Partition of Unity Method.
Universität Bonn, 2022

Bulin, Johannes:
Long-timescale atomistic Simulations.
Universität Bonn, 2021

Emon, Mohammad Asif:
Mechanism-based Stratification of Alzheimer’s and Parkinson’s Disease using Artificial Intelligence.
Universität Bonn, Bonn-Aachen International Center for Information Technology, 2021

Kacwin, Christopher:
Dynamics for the Random Cluster Model.
Universität Bonn, 2021

Karki, Reagon:
Bridging between data and knowledge: New ways to better understand Alzheimer's Disease and Type 2 Diabetes comorbidity.
Universität Bonn, Bonn-Aachen International Center for Information Technology, 2021

Wolter, Moritz:
Frequency Domain Methods in Recurrent Neural Networks for Sequential Data Processing.
Universität Bonn, 2021

Delforouzi, Ahmad:
New Approaches for Object Tracking and Image-based Quality Contol.
Universität Siegen, 2020

Naz, Mufassra:
Strategies for the intelligent integration of genetic variance information in multiscale models of neurodegenerative disease.
University of Bonn, Bonn-Aachen International Center for Information Technology, 2020

Domingo Fernández, Daniel:
Computational Analysis of Pathophysiological Mechanisms Bases on Pathway Modeling.
University of Bonn, 2019.

Hoyt, Charles Tapley:
Generation and Applications of Knowledge Graphs in Systems and Networks Biology.
University of Bonn, 2019

Küllmer, Knut:
Pseudopotentialbasierte Lattice-Boltzmann-Verfahren für Mehrphasenströmungen.
University of Siegen / Hochschule Bonn-Rhein-Sieg, 2019

Bagewadi Kawalia, Shweta:
Discovering Lesser Known Molecular Players and Mechanistic Patterns in Alzheimer´s Disease using an Integrative Disease Modelling Approach.
University of Bonn / B-IT, 2018.

Dörpinghaus, Jens:
Pseudostabile Mengen in Graphen.
University of Cologne, 2018.

Fuchs, Barbara:
Numerical Methods for Uncertainty Quantification in Gas Network Simulation.
University of Bonn, 2018.

Iyappan, Anandhi:
Conceptualization of Computational Modelling Approaches and Interpretation of the Role of NeuroImaging Indices in Pathomechanisms for Pre-Clinical Detection of Alzheimer Disease.
University of Bonn / B-IT, 2018.

Mayer, Sebastian:
Preasymptotic error bounds via metric entropy.
University of Bonn, 2018.

Schaaf, Sebastian:
Mechanism-driven Hypothesis Generation Support for a Predictive Adverse Effect in Colorectal Cancer Treatment.
LMU Munich, 2018.

Tom Kodamullil, Alpha:
Building multiscale computable model of Alzheimer´s disease and identification of novel mechanisms for new therapeutic interventions.
University of Bonn / B-IT, 2018.

Bohn, Bastian:
Error analysis of regularized and unregularized least-squares regression on discretized function spaces.
University of Bonn, 2017.

Brunsch, Sina:
Parametric Model Order Reduction using Sparse Grids.
University of Bonn, 2017.

Iza Teran, Victor Rodrigo:
Geometrical Methods for the Analysis of Simulation Bundles.
University of Bonn, 2017.

Krämer, Andreas:
Lattice-Boltzmann-Methoden zur Simulation inkompressibler Wirbelströmungen.
University of Siegen, 2017.

Oettershagen, Jens:
Construction of Optimal Cubature Algorithms with Applications to Econometrics and Uncertainty Quantification.
University of Bonn, 2017.

Wissel, Daniel Rainer:
Intrinsic Dimension Estimation using Simplex Volumes.
University of Bonn, 2017.

Ziegler, Wolfgang:
A Framework for Managing Quality of Service in Cloud Computing through Service Level Agreements.
University of Göttingen, 2017.

Burkow, M.:
The numerical simulation of a three dimensional fluid sediment system on arbitrarily shaped domains.
University of Bonn, 2016.

Deyati, A.:
Knowledge Management Approaches for Predicting Biomarker and Assessing its Impact on Clinical Trials.
Bonn-Aachen International Center for Information Technology, University of Bonn, 2016.

Feld, D.:
FIELDPLACER – a Flexible, Fast and Unconstrained Force-directed Placement Method for Heterogeneous Reconfigurable Logic Architectures.
University of Cologne, 2016.

Gries, S.:
System-AMG Approaches for Industrial Fully and Adaptive Implicit Oil Reservoir Simulations.
University of Cologne, 2016.

Neuen, C.:
Simulation of Ion Migration with Particle Dynamics and the Heat-Poisson-Nernst-Planck System.
University of Bonn, 2016.

Rüttgers, A.:
Multiscale Simulation of Polymeric Fluids using Sparse Grids.
University of Bonn, 2016.

Hullmann, A.:
The ANOVA decomposition and generalized sparse grid methods for the high-dimensional backward Kolmogorov equation.
University Bonn, 2015.

Kleinert, J.:
Simulating Granular Material using Nonsmooth Time-Stepping and a Matrix-free Interior Point Method.
TU Kaiserslautern, 2015.

Malhotra, A.:
Development and application of a knowledge driven approach for exploring novel insights in neurodegenerative disease with focus on Alzheimer´s disease.
University Bonn, 2015.

Zaspel, P.:
Parallel RBF kernel-based stochastic collocation for large-scale random PDEs.
University Bonn, 2015.

Metsch B.:
Algebraic Multigrid (AMG) for saddle point systems.
Bonn, Univ., Diss., 2013

Shahid, Mohammad
Integrative systems approaches towards brain pharmacology and polypharmacology.
Bonn, Univ., Diss., 2013

Hanisch, Daniel:
New analysis methods for gene expression data via construction and incorporation of biological networks.
München, 2004 München, Univ., Diss., 2004 Schlagwörter: Dissertation Institutsveröffentlichung: SCAI

Zien, Alexander:
Computational analysis of gene expression data.
Aachen : Shaker, 2004 (Fraunhofer series in information and communication technology; 2004, 4). Zugl.: Bonn, Univ., Diss., 2002 Schlagwörter: Dissertation Institutsveröffentlichung: SCAI

Zimmermann, Marc:
Rechnerunterstützte Analyse von HTS-Daten.
Aachen : Shaker, 2004 (Fraunhofer series in information and communication technology; 2004, 5). Zugl.: Bonn, Univ., Diss., 2003 Schlagwörter: Dissertation Institutsveröffentlichung: SCAI: Abteilung: BIO

Zimmermann, Marc:
Rechnerunterstützte Analyse von HTS-Daten.
Bonn, 2004 Bonn, Univ., Diss., 2004 Schlagwörter: Dissertation Institutsveröffentlichung: SCAI: Abteilung: BIO