Dissertationen

2023

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

2022

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

2021

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


2020

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.

Bonn-Aachen International Center for Information Technology, 2020


2019

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

Universität Bonn, 2019.


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

Universität Bonn, 2019


Küllmer, Knut:
Pseudopotentialbasierte Lattice-Boltzmann-Verfahren für Mehrphasenströmungen.

Universität Siegen / Hochschule Bonn-Rhein-Sieg, 2019


2018

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.


2017

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.

2016

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.


Vanck, T.:
New Importance Sampling Based Algorithms for Compensating Dataset Shifts.
TU Berlin, 2016.


2015

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

University of 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 of Bonn, 2015.


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

2014

2013

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


2012

2011

2010

2009

2006

2005

2004

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

Archiv

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