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Successfully completing your studies with an exciting topic: possible with us! With a thesis at Fraunhofer IMS you are close to the pulse of innovation. We look forward to your ideas and your scientific curiosity and support you with our know-how as well as our experience. Take the opportunity and dedicate your thesis (bachelor, master or diploma thesis) to a challenging topic that not only advances us, but above all you. If we are a good match, you can also join us as a doctoral candidate or research associate afterwards.

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Master Theses

Tabbed contents.

Abdelbaky, Aya: Graph Neural Networks for disease diagnosis prediction. Universität Bonn, B-IT, 2023

Al Soulaiman, Eyad: Entwicklung einer Mikrocontroller-basierten Plattform für »Predictive Maintenance« mittels Künstlicher Intelligenz. Hochschule Bonn-Rhein-Sieg, 2023

Alallaf, Fayez: Untersuchung von Datenarchitekturen für PKW-Bussysteme hinsichtlich Datenreduktion und Performance. Hochschule Bonn-Rhein-Sieg, 2023

Azadi, Navid: Integration of Biomedical Knowledge Graph Embeddings into Transformer-Based Model Trained on Structured EHR Data. Universität Bonn, 2023

Friederichs, Lars: Examing solution diversity in reinforcement learning algorithms using time series analysis. Universität Bonn, 2023

Kuznetsov, Sergei: Application of Various Machine Learning Approaches for Solving the ODE Inverse Problem. Universität Bonn, B-IT, 2023

Mahgoubd, Mohamed: A Comparative Analysis of Federated Learning Frameworks for Medical Data. Universität Bonn, B-IT, 2023

Meurer, Maximilian: Optimierung der Makrogeometrie von Stirnradpaaren unter Berücksichtigung individueller Produktionsbedingungen. Hochschule Bonn-Rhein-Sieg, 2023

Muders, Henrik: A new Concept for Controlling the Wire Tension during the Winding Process of Wire Grid Polarizers to improve the Grid Quality. Hochschule Bonn-Rhein-Sieg, 2023

Paetzold, Lena: Evaluation of the stabilized Induced Dimension Reduction method using Algebraic Multigrid as the preconditioner. Universität Bonn, 2023

Potocki, Oliver: Geometric learning for symmetric positive definite matrices. Universität Bonn, 2023

Sainath, Srividhya: Molecular stratification of Parkinson Disease. Technische Universität Dresden, 2023

Schmieding, René: Hybrid Mathematical-Epidemiological Models for Infectious Disease Dynamics. Universität Bonn, 2023

Spelten, Philipp: Simulation Data goes Ontology. Integrating VMAP-data into an ontology and accessing it using semantically represented processes. Hochschule Bonn-Rhein-Sieg, 2023

To, Jackrite: Validation of gait parameters for prediction of Parkinson's disease progression. Universität Bonn, B-IT, 2023

Wang, Danqi: Development of an early alert model for pandemic situations. Universität Bonn, B-IT, 2023

Wohlenberg, Johannes: Generating German clinical text. Universität Bonn, 2023

Zhang, Bide: Comorbidity analysis of data from psychiatric disorder patients with polygenic risk score and potential causal effect of single nucleotide polymorphisms. Universität Bonn, 2023

Adams, Tim: Evaluation and Visualisation of Synthetic Patient Data using Variational Autoencoder Modular Bayesian Networks. Universität Bonn, 2022.

Amin, Kriti: Prediction of survival probability to cancer progression in melanoma patients using statistical and machine learning methods. Universität Bonn, B-IT, 2022.

Badarinath, Deepak: Deep reinforcement learning for energy asset optimization. Universität Bonn, 2022.

Baglan, Ömer: Untersuchung eines Machine Learning Potentials und einer möglichen Erweiterung. Hochschule Koblenz, Rhein-Ahr-Campus, 2022.

Baniabaz, Amina: Deep-learning-based surrogate modeling for multiphysics applications. Hochschule Bonn-Rhein-Sieg, 2022.

Braun, Christina: Ein hybrider KI-Ansatz zur Modellierung und Prognose von Inzidenzwerten der COVID-19-Pandemie in Deutschland. Hochschule Koblenz, Rhein Ahr Campus, 2022.

Breiden, Farah: Parallel Finite Volume Particle Method for three dimensional free surfaces. Universität Bonn, 2022.

Elsweijer, Sandro: Evaluation and generic application scenarios for curved hexahedral adaptive mesh refinement. Hochschule Bonn-Rhein-Sieg, 2022.

Gökay, Uzay H.: Disease-Symptom Relation Extraction from Biomedical Textual Content. Universität Bonn, B-IT, 2022.

Gunter, Sebastian: Vergleichende Analyse von realen und virtuellen Testfahrten unter Berücksichtigung von Verkehrseinflüssen hinsichtlich Reproduzierbarkeit und Schädigung an Antriebsstrangbauteilen. Hochschule Bonn-Rhein-Sieg, 2022.

Held, Tobias: Modellbildung, Simulation und Optimierung einer wasserstoffbetriebenen Autofähre unter Berücksichtigung von Alterungseffekten. Hochschule Bonn-Rhein-Sieg, 2022.

Keller, Marie: Integration and Application of Quantitative Data in Knowledge Graphs. Universität Bonn, B-IT, 2022.

Krendelsberger, Antonia: Compressing the Combination Technique for continuous Functions. Universität Bonn, 2022.

Li, Zexin: Modeling of Huntington Disease Trajectories with Artificial Intelligence Methods. Universität Bonn, B-IT, 2022.

Nießing, Hendrik: Logstream-Simulation zum Testen autonomer Planungssysteme. Hochschule Bonn-Rhein-Sieg, 2022.

Oerder, Rick: Equivariant Machine Learning on Quantum Chemistry Data. Heinrich-Heine-Universität Düsseldorf, 2022.

Pfennig, Malte: Modellierung und Simulation eines PEM-Elektrolyseurs der Megawattklasse. Hochschule Bonn-Rhein-Sieg, 2022.

Prinz, Thorsten: Frage- und Antwortsystem für Dokumente mit Tabellen und deren Relationen in Life-Science-Publikationen. Fern-Universität Hagen, 2022.

Rühl, Tom Benedikt: Deep Hedging. Goethe-Universität Frankfurt am Main, 2022.

Schmalenstroer, Lara: Classification, Annotation and Mapping of tables in biomedical literature. Universität Bonn, B-IT, 2022.

Schneider, Julian: Generating synthetic data for a longitudinal, heterogeneous and incomplete dataset with direct dependencies across time points. Universität Bonn, 2022.

Schröder, Dennis: Conditional Variational Autoencoders for Implied Volatility Surfaces. Heinrich-Heine-Universität Düsseldorf, 2022.

Sharafi, Ava: Exploring the Potential of CNN Transfer Learning for Vehicle Crash Test Image Classification on CAE Data. Universität Bonn, 2022.

Sharma, Jayant: Drug Repurposing & Adverse Event Prediction through EHR Knowledge Graph Completion. Albert-Ludwigs-Universität Freiburg, 2022.

Sidorovic, Mark: Fluid Structure Interactions in PUMA. Universität Bonn, 2022.

Sundakampalayam Paramasivam, Chandrika: Deep Learning based transient surrogate modeling of fluid-structure interactions in a sloshing tank digital twin. Hochschule Bonn-Rhein-Sieg, 2022.

Wegner, Philipp: Detecting adverse drug reactions in social media texts with transformer models. Universität Bonn, 2022.

Wuschke, Simon: Experimentelle Optimierung von Verfahrensparametern für die additive Fertigung von Bauteilen aus thermoplastischem Elastomer und Vergleich mit vulkanisierten Prototypen. Hochschule Bonn-Rhein-Sieg, 2022.

Balabin, Helena: Multimodal Transformers for Biomedical Text and Knowledge Graph Data. Hochschule Bonn-Rhein-Sieg, 2021.

Bareev-Rudy, Michael: Untersuchung eines Power-to-Gas Simulationsmodells auf Stabilität und Geschwindigkeit. Hochschule Bonn-Rhein-Sieg, 2021.

Climaco, Paolo: Koopman Operator Analysis. Universität Bonn, 2021.

DeLong, Lauren: Comparison and Evaluation of Network Representation Learning Methods for Adverse Drug Reaction Prediction in a Heterogeneous Graph. Universität Bonn, B-IT, 2021.

Devagekar, Somesh: Image Based Quality Control in Thermoplastic Composite Production using Deep Transfer Learning. Hochschule Bonn-Rhein-Sieg, 2021.

Figueiredo, Rebeca: Large-scale investigation of transcriptomic signatures over multiple biological contexts. Universität Bonn, B-IT, 2021.

Firouzi, Payam: Automatic Fluid Edge Tracking in a Shaking Aquarium. Universität Siegen, 2021.

Hentschel, Andreas: Abgleich von Experiment und Simulation eines Lamellenventils bezüglich der Fluid-Struktur-Interaktion. Hochschule Bonn-Rhein-Sieg, 2021.

Jost, Tilman: Simulation und Optimierung einer Batterie-Kühlung. Hochschule Bonn-Rhein-Sieg, 2021.

Kliemank, Martin: Untersuchung der turbulenten Umströmung verschiedener Dachformen eines freistehenden Hauses mit der Lattice-Boltzmann-Methode. Hochschule Bonn-Rhein-Sieg, 2021.

Kollecker, Simon Hendrik: Meshfree Mimetic Methods. Universität Bonn, 2021.

Könemann, Daniel: Experimentelle und simulative Analyse der mechanischen Eigenschaften eines Hybridbauteils aus umspritztem Organoblech zur Bewertung des 2K-Verbunds. Hochschule Bonn-Rhein-Sieg, 2021.

Krause, Rico: The Limits of Deep Learning and How to Overcome Them With Respect to Reinforcement Learning. Universität Bonn, 2021.

Ku, Cindy: Evaluation of a Hybrid AI Strategy for Modeling and Predicting Disease Outcome of Pneumonia in ICU Patients. Universität Bonn, 2021.

Lahoual, Hazem: Probabilistic Machine Learning in Chemical Process Engineering. Technische Universität Berlin, 2021.

Lordick, Thomas: Data Science Approaches for ldentification of Genetic Impact on Cholesterol Levels in Parkinson's Disease. Universität Bonn / B-IT, 2021.

Michels, Jannik Bastian: A TDC based PUM for Kirchhoff shells. Universität Bonn, 2021.

Ollech, Matthias: Analysis of Neural Tangent Kernels. Universität Bonn, 2021.

Rayya, Noura: Exhaustive Search with MEDLINE on Knowledge Graphs for Correctness and Completeness. Universität Bonn / B-IT, 2021.

Riske, Manuel: Konzeptfindung und Untersuchung der Anwendung neuronaler Netze zur Modellreduktion am Beispiel eines hydraulischen Kupplungsaktivierungssystems. Hochschule Bonn-Rhein-Sieg, 2021.

Schäfer, Marius: Entwicklung eines optimierten Stützlagerdesigns für leichte Nutzfahrzeuge hinsichtlich alternativer Werkstoffkonzepte und reduziertem Produktions- und Montageaufwand. Hochschule Bonn-Rhein-Sieg, 2021.

Schiffer, Barbara: Modellierung und Simulation eines Blockheizkraftwerkes mit seinen einzelnen Komponenten in Matlab/Simulink mit anschließender Validierung durch reale Testfälle. Hochschule Bonn-Rhein-Sieg, 2021.

Seidler, Uta: Sparse grid methods for high-dimensional problems in uncertainty quantification. Universität Bonn, 2021.

Surulinathan, Ram Kumar Ruppa: Landscaping of COVID-19 Data for the Discovery of Insightful Patterns on Ethnicities – An Attempt. Universität Bonn / B-IT, 2021.

Thakur, Shramana: Modelling and Analysis of Automobile Simulations using Knowledge Graphs. Universität Bonn, 2021

Waldorf, Konstantin: Graph-convolutional neural networks for chemical applications. Universität Bonn, 2021.

Yalchyk, Ilya: Transfer learning on clinical Alzheimer’s disease cohort data. Universität Bonn, B-IT, 2021.

Aborageh, Mohamed: Machine learning classification of heterogeneous Alzheimer’s disease cohorts for prioritization of functional domains. Universität Bonn / B-IT, 2020.

Bharadhwaj, Vinay Srinivas: CLEP: A hybrid data- and knowledge-driven framework for generating patient representations. Universität Bonn / B-IT, 2020.

Burchart, Yannick: Kernels for topological analysis of sensor signals. Universität Bonn, 2020.

Chiara Llanos, Olmo: Algebraic approaches for gas networks. Universität Bonn, 2020.

English, Bradley William: Coupling qualitative knowledge graphs, quantitative systems simulation, and scientific machine learning for in-silico pathology intervention predictions (QSEPs). Universität Bonn / B-IT, 2020.

Erlenbach, Lukas: Active learning for Bayesian neural networks with Gaussian processes. Universität Bonn, 2020.

Gadiya, Yojana: Mining of clinical case reports with NLP and deep neural networks. Universität Bonn / B-IT, 2020.

Gilch, Alexandros Philipp: Applications of higher-order quadrature methods to econometric models and estimators. Universität Bonn, 2020.

Gómez Freixa, Marc: Neural ordinary differential equations for modeling and predicting Parkinson's disease progression. Universität Bonn / B-IT, 2020.

Hines Chaves, Derrick Armando: Multi-scale spectral-based deep graph convolution networks for molecular property. Universität Bonn, 2020.

Jäger, Sophia: Entwicklung eines Simulationsmodells des Power-to-Wasserstoff-Kreislaufes für das HBRS-TRE3L Hydrogen Lab mit Matlab Simulink. Hochschule Bonn-Rhein-Sieg, 2020.

Kannan, Dinesh: Deep neural networks and PIDE discretizations. Universität Bonn, 2020.

Kemper, Janis: Causal inference with focus on dynamical systems and applications in machine learning. Universität Bonn, 2020.

Klingmann, Daniel: Physics constrained deep learning. Universität Bonn, 2020.

Krix, Sophia Elisabeth: Drug Repositioning using Relational Graph Convolutional Neural Networks on Heterogenous Knowledge Graph. Universität Bonn / B-IT, 2020.

Li, Jing: Wasserstein metric in deep learning. Universität Bonn, 2020.

Maczey, Pascal: Entwicklung einer Posen-Vorhersage zur Steigerung der Reaktionsfähigkeit sicherheitsrelevanter Anwendungen bei Mensch-Roboter Kollaborationen. Hochschule Bonn-Rhein-Sieg, 2020.

Peitzmeier, Fabian: Bewertung der Fahrdynamik und Optimierung von Dämpfercharakteristika für den Einsatz im Motorsport. Hochschule Bonn-Rhein-Sieg, 2020.

Peng, Chengyao: CADA: network-based gene prioritization with phenotypic features. Universität Bonn / B-IT, 2020.

Ram, Michael: Entwicklung einer digitalen Regelung zur Produktionsüberwachung einer metallverarbeitenden Profilierungswalze. Hochschule Bonn-Rhein-Sieg, 2020.

Salimi, Yasamin: Comparison of Alzheimer’s disease progression patterns across multiple cohort studies. Universität Bonn / B-IT, 2020.

Schulz, Elena: Transfer Learning zur Objekterkennung in der Formula Student Driverless. Hochschule Bonn-Rhein-Sieg, 2020.

Steffens, Angelina: Efficient methods for handling missing data. Universität Bonn, 2020.

Wendland, Philipp: Generative artificial intelligence approaches for modeling of multimodal longitudinal clinical studies and simulation of virtual cohorts. Hochschule Koblenz, RheinAhrCampus Remagen, 2020.

Zametica, Berina: Establishing a robst pipeline for systematic analysis of rare variants from targeted resequencing data of large cohorts. Universität Bonn / B-IT, 2020.

Aldisi, Rana: Generation and Applications of Side Effect Embeddings in Biomedical Knowledge Discovery. Universität Bonn / B-IT, 2019.

Birkenbihl, Colin: Mapping out the Alzheimer's disease data landscape. Universität Bonn / B-IT, 2019.

Brief, Victoria: Experimentelle Validierung einer Simulation mit Fluid-Struktur-Interaktion. Hochschule Bonn-Rhein-Sieg, 2019.

Camacho Melo, Adolfo: Coupled Partition of Unity Simulations. Universität Bonn, 2019.

Duitama González, Camila: External validation and characterisation of cancer subtypes using SBC. Universität Bonn / B-IT, 2019.

Hahner, Sara: Analyzing and Predicting Simulation Results using Oriented Bounding Boxes and Recurrent Neural Networks. Universität Bonn, 2019.

Höveler, Bernhard: Tensortrain für Hamilton-Jacobi-Belllman. Universität Bonn, 2019.

Humayun, Farah: Modeling heme pathogenicity and pathway dysregulation in the context of hemolytic disorders. Universität Bonn / B-IT, 2019.

Jimenez Recio, Pablo: Numerical solution of variational inequalities with the Partition of Unity Method. Universität Bonn, 2019.

Krockauer, Kilian: Integration heterogener klinischer Routinedaten: Standardisierung von Patientendaten und Datenanalyse. Hochschule Bonn-Rhein-Sieg, 2019.

Langnickel, Lisa: Multi-Task Learning using Neural Networks for Biomedical Text Mining. Universität Bonn / B-IT, 2019.

Mazziotta, Chaira: Die Verbesserung von Datenqualität mit Hilfe konditioneller funktioneller Abhängigkeiten. Universität Bonn, 2019.

Mubeen, Sarah: Harmonizing major pathway databases to compare and evaluate their consensus. Universität Bonn / B-IT, 2019.

Pio de Lacerda, Mauricio: GuiltyTargets Extension for Drug Repurposing with Phenome-wide Association Studies Data. Universität Bonn / B-IT, 2019.

Rott, Fabian: Molekulare Simulation von Ottokraftstoffen bei Variation des Ethanol-Gehalts. Hochschule Bonn-Rhein-Sieg, 2019.

Scheffler, Alexander: Optimierung des Abscheidegrades von Stickoxiden eines Laborabluftwäschers . Hochschule Bonn-Rhein-Sieg, 2019.

Schricker, Eric: Verbesserungsheuristiken für die Tourenplanung mit Zeitfenstern (VRPTW) in Online-Szenarien. Hochschule Bonn-Rhein-Sieg, 2019.

Schultz, Bruce: OrthoPath: Automated Generation of Human Biomedical Pathways from Ortholog Knowledge. Universität Bonn / B-IT, 2019.

Stefan, Andreas: Implementierung und Evaluierung eines Polyglot Persistence Entwurfs zum Speichern und Abfragen eines Knowledge Graphen. Hochschule Bonn-Rhein-Sieg, 2019.

Thurn, Christoph: Numerische Methode zur Optimierung einer Lattice-Struktur im Rahmen einer Fahrzeugentwicklung . Hochschule Bonn-Rhein-Sieg, 2019.

Troska, Lukas Maximilian Heinrich: Nonlinear Solvers in PUMA. Universität Bonn, 2019.

Villegas Segura, Juleana Lucia: Persistent Homology for Triangulations and Digital Elevation Models. Universität Bonn, 2019.

Xu, Lingling: A Comparison of Learned and Engineered Features in Network-Based Drug Repositioning. Universität Bonn / B-IT, 2019.

Zhang, Yuzhou: Topological Data Analysis for Single Cell Data. Universität Bonn, 2019.

Altay, Aybuge: BNenrich: A Novel Method for the Estimation of Pathway Enrichment Scores by Integrating Partially Overlapping Multi-mics Data via Bayesian Networks. University of Bonn / B-IT, 2018.

Antonyan, Lilit: Identification of Shared Genetic Risk Loci and Risk Mechanism Associated with Different Psychiatric Disorders via GWAS Meta-analysis. University of Bonn / B-IT, 2018.

Baldin, Anton: Entwicklung eines nichtlinearen Lösers für stationäre Transportnetzwerkprobleme. Hochschule Bonn-Rhein-Sieg, 2018.

Beer, Lisa: Visualization and Analysis of Single-Cell Data using Diffusion Maps. University of Bonn, 2018.

Birner, Matthias: Global-local Enrichments in the Patition of Unity Method. University of Bonn, 2018.

Butcher, Ruby: Secure web services for MpCCI FSIMapper solution. CPE Lyon, 2018.

Dyck, Alex: Subspace Identification and Koopman Theory for Modal Analysis of Linear Dynamical Systems. University of Bonn, 2018.

Fischhuber, Karen: An adaptive sparse grid approach for many-body systems. University of Bonn, 2018.

Große, Tobias: Anwendung der FE-basierten mathematischen Optimierung in der Auslegung von Fahrzeugteilen. Hochschule Bonn-Rhein-Sieg, 2018.

Grotenburg, Daniel: Erweiterte Modellbildung und Simulation von Wärmetransporten im Blasformwerkzeug durch die Anwendung strömungsformabhängiger lokaler Wärmeübergangskoeffizienten. Hochschule Bonn-Rhein-Sieg, 2018.

Hülsmann, Gösta: Algebraische Mehrgitterverfahren zur Iterativen Berechnung von Schurkomplementen mit Anwendungen aus Elastizitätstheorie mit einer geringen Anzahl von Nebenbedingungen. University of Bonn, 2018.

Japes, Bernhard: Development of an Interface between the Energy Network Simulator MYNTS and the NoSQL-DBMS Cassandra. University of Bonn, 2018.

Lewerenz, Julian: Vergleich und Validierung von Simulationsmethoden zur Fluid-Struktur-Kopplung. Hochschule Bonn-Rhein-Sieg, 2018.

Lu, Mia: Approximate Dynamic Programming applied to a wind energy storage problem. University of Bonn, 2018.

Mahmoodi, Sina: Decentralized Infrastructure for Versioned Linked Open Data and Scalable Curation Thereof. University of Bonn, 2018.

Mangasaryan, Arsine: Coupled Bulk Surface Problems in Parallel using PUMA. University of Bonn, 2018.

Masny, Aliaksandr: MozgViewer: Interactive multi-facet visualization application for neuroscience research. University of Bonn / B-IT, 2018.

Mellmann, Julian: Anomalieerkennung in Meßdaten. University of Bonn, 2018.

Muslu, Özlem: GuiltyTargets: Target Prioritization with Network Representation Learning. University of Bonn / B-IT, 2018.

Olbrich, Tobias: Machine Learning for Many-body Potentials with Moment Tensors. University of Bonn, 2018.

Prast, Andreas: Simulative Druckmessung in granularen Medien und dessen experimentelle Validierung. Hochschule Bonn-Rhein-Sieg, 2018.

Raschka, Tamara: Single Nucleotide Polymorphisms and Short Tandem Repeats in Next-Generation Sequencing Data. Hochschule Koblenz, RheinAhrCampus Remagen, 2018.

Ruttscheidt, Steffen: Adaptive Sparse Grids for Solving Continuous Time Heterogeneous Agent Models. University of Bonn, 2018.

Sahay, Akrishta: Development of longitudinal Bayesian Network Model for Parkinson´s Disease and Simulation of Virtual Cohort using Multi-Modal Data. University of Bonn / B-IT, 2018.

Schäfer, Tobias: Untersuchung der Einzugszone von Kunststoffextrudern mittels DEM Simulation. Hochschule Bonn-Rhein-Sieg, 2018.

Schwab, Florian: Entwicklung einer Matlab-App zur Untersuchung des Transportverhaltens von Plastikpartikeln in bewegtem Fluid. Hochschule Bonn-Rhein-Sieg, 2018.

Segiet, Lukasz: Hierarchical reduction in modeling of gas transport networks. University of Bonn, 2018.

Sharma, Arunabh: Data and Knowledge Driven Approaches in Amyotrophic Lateral Sclerosis. University of Bonn / B-IT, 2018.

Tesch, Tobias: Invariant operator approach for the analysis of simulation bundles. University of Bonn, 2018.

Wöhrle, Sven: GIS-based modelling for Pareto optimal wind and solar park sites for self-supply of energy intensive industry. University of Cologne, 2018.

Albrecht, Clelia: Parallelization of Adaptive Gradient Augmented Level Set Methods. University of  Bonn, 2017.

Blume, Christian: Vorhersage des temperaturabhängigen Materialversagens von blasgeformten Kunststoffhohlkörpern unter Ausnutzung viskoelastischer Modellansätze. University of Applied Sciences Bonn-Rhein-Sieg, 2017.

Cichon, Sandra: Optimales Packen von Trapezen mit Anwendung in der Stahlindustrie. University of Cologne, 2017.

Filep, Nóra Réka: Paving The Way For Precision Medicine: Epilepsy Subgroup Identification Based On Shared Comorbidity Risk Factors And Pleiotropic Findings, Using Data Mining And DiseaseModeling Approaches. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2017.

Golriz Khatami, Sepehr: Functional impact assessment of SNPs for interpreting neuroimaging features in the context of neurodegenerative disease. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2017.

Hoyt, Charles Tapley: PyBEL: a Computational Framework for Biological Expression Language. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2017.

Khanna, Shashank: Early AD Onset Prediction Integrating Heterogeneous Data Sources and Model Interpretation via Bayesian Networks. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2017.

Ruland, Timm: Quadrature Approximation for Feature Maps in Kernel Methods. University of Bonn, 2017.

Schürg, Jannik: Fast Approximation of Gaussian Processes. University of Bonn, 2017.

Solowjow, Friedrich: Event-triggered Learning. University of Bonn, 2017.

Sood, Meemansa: Development of a longitudinal model for Alzheimer’s disease to predict the trajectories of the biomarkers. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2017.

Suter, Robin: Optimal Power Flow. University of Bonn, 2017.

Wolff, Vanessa: Kräftebasiertes Graph-Layout-Verfahren. University of Bonn, 2017.

Dasch, L.: Efficient Numerical Integration in Partition of Unity Methods on CAD Geometries. University of Bonn, 2016.

Dhrangadhariya, A.: Development of a novel prototype for systematic harvesting of drug to biomarker effect paths based on data integration and reasoning. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2016.

Elfgen, R.: Molekulare Charakterisierung von ionischen Flüssigkeiten zur Eignung als Lösungsmittel für den Sauerstofftransport durch Porphyrin-Eisen-Komplexe. University of Bonn, 2016.

Fernandez, D.D.: Multimodal Mechanistic Signatures for Neurodegenerative Diseases (NeuroMMSig): a web server for mechanism enrichment. Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2016.

Gemein, L.: Erweiterung von Analysemethoden zur Bestimmung formabhängiger, mechanischer Werkstoffkennwerte beim Extrusionsblasformen. University of Applied Sciences Bonn-Rhein-Sieg, 2016.

Haedecke, T.: Ausnutzung des Zeit-Temperatur-Superpositionsprinzips zur prozessabhängigen Materialkennwertermittlung von Schub- und E-Modul beim Extrusionsblasformen. University of Applied Sciences Bonn-Rhein-Sieg, 2016.

Höffer, A.: Mehrkörpersimulation des dynamischen Verhaltens selbstspannender Wickelköpfe an einer Folienschneidmaschine. University of Applied Sciences Bonn-Rhein-Sieg, 2016.

Kacwin, C.: Realization of the Frolovcubature formula via orthogonal Chebyshev-Frolov lattices. University of Bonn, 2016.

Klaar, C.: A Partition of Unity Method for Quantum Mechanical Material Calculations. University of Bonn, 2016.

Koch, M.D.: Quasi-Newton Methods for Unstable Partitioned Fluid-Structure Interactions. University of Bonn, 2016.

Krautter, J.: An Explicit Method for Compressible Flow Simulation with Regards to Fluid-Motion Coupling . University of Bonn, 2016.

Metzen, M.: Gekoppelte Simulation zur Fluid-Struktur-Interaktion an Radkastenspoilern . University of Applied Sciences Bonn-Rhein-Sieg, 2016.

Schwartz, A.-L.: Optimized Sparse Grid Combination Technique for Eigenvalue Problems . University of Bonn, 2016.

Singh, P.: Towards Seamless Integration of graph based knowledge representation with primary data representing graph bel/rdf graph example . Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 2016.

Suhlmann, M.: Kontaktwinkelmodellierung für mehrphasige Strömungssysteme mit Palabos . University of Applied Sciences Bonn-Rhein-Sieg, 2016.

Velikov, V.: Fast Sparse Pseudo-spectral Methods for High-dimensional Problems . University of Bonn, 2016.

Bensalim, M. : Voruntersuchungen zu gekoppelten Fluid-Struktur-Interaktionen im Frequenzbereich. University of Applied Siences Bonn-Rhein-Sieg, 2015.

Cecutti, F.: Airfoil FSI Optimization using a Coupled Fluent-Matlab Workflow in ModeFRONTIER. Uni Trieste, Italy, 2015.

Irin, A.K.: Strategies for the representation of epigenetics information using computational modelling in neurodegenerative diseases University Bonn, Bonn-Aachen International Center of Information Technology (B-IT), 2015.

Khan, M.Z.: Securing medical data inside Cloud using cloud4health as use case. Universität Bonn, 2015.

Mathias, S. : A k ernel- b ased l earning m ethod for an e fficient a pproximation of the h igh- d imensional Born-Oppenheimer p otential e nergy h ypersurface. University Bonn, 2015.

Roggendorf, S.: Model o rder r eduction for l inearized systems arising from the simulation of g as t ra nsportation n etworks. University Bonn, 2015

Singh, G.: Efficient Integration of Semantic Search, Document Retrieval, and Information Extraction in Life Sciences Bonn, Bonn-Aachen International Center of Information Technology (B-IT), 2015.

Behm, O.: Shape optimization in incompressible Navier-Stokes flows. University Bonn, 2014

Emon, M. A. E. K.: Using d rugs as m olecular p robes: enabling a "Chemical Biology" a pproach in m olecular s ystems b iology of the b rain. Bonn-Aachen International Center of Information Technology (B-IT), 2014.

Hodapp, S.: Wissenschaftliche Dokumente mit domänenspezifischen Inhalten: Entwicklung eines allgemeinen Modells für wissenschaftliche Dokumente umgesetzt als browserbasierter Editor. Bonn-Aachen International Center of Information Technology (B-IT), 2014. Volltext.

Karki, R.: New r oads t owards u nderstanding i diopathic d iseases: comorbidity modeling and mining aimed at identifying mechanisms shared between Alzheimer's Disease and Type 2 Diabetes Mellitus . Bonn-Aachen International Center of Information Technology (B-IT), 2014.

Pastuszka, N.: A m ultilevel method for the global optimization of potential energy functions. University Bonn, 2014.

Peuker, C.: High-dimensional design optimization of wave e nergy converters with c omputational fluid d ynamics. University Bonn, 2014.

Puritipati, D. R.: Semantic i ntegration of data to answer complex research questions. Bonn-Aachen International Center of Information Technology (B-IT), 2014.

Salinas Soto, F. E.: Development of algorithms and workflows to create and analyse disease specific protein-protein-interaction networks from public available databases. Bonn-Aachen International Center of Information Technology (B-IT), 2014

Singh, G.: Information extraction aiming to integrate document retrieval and analytical tools for application in life sciences. Bonn-Aachen International Center of Information Technology (B-IT), 2014.

Siramshetty, V. B.: The h uman b rain p harmacome RDF: a k nowledge-based a pproach for in silico r esearch on n eurodegenerative d iseases. Bonn-Aachen International Center of Information Technology (B-IT), 2014.

Bernard, M.: Co-Simulation von Mehrkörper- und Strukturdynamik zur Analyse von Kraftfahrzeug-Aggregatelagersystemen. University of Applied Siences Bonn-Rhein-Sieg, 2013.

Darms, J.: Semantic w eb-based n amed e ntity r ecognition. University of Applied Siences Bonn-Rhein-Sieg, 2013.

Hennicke, T.: Numerische Fluid- und Strukturuntersuchungen an einer Radialgasturbine. University of Applied Siences Bonn-Rhein-Sieg, 2013.

Iyappan, A.: Robust biomarker s election on expression and textual d ata d riven g raphs using m achine l earning. Bonn-Aachen International Center of Information Technology (B-IT), 2013.

Kopelke, F.: Selbständiges Erlernen einer Vier-gewinnt-Spielstrategie durch den NAO-Roboter unter Verwendung künstlicher neuronaler Netze University of Applied Siences Bonn-Rhein-Sieg, 2013.

Küllmer, K.: Die Lattice-Boltzmann-Methode und deren Anwendung für Mehrphasensysteme. University of Applied Siences Bonn-Rhein-Sieg, 2013.

Li, H.: A dictionary-based s trategy for a utomated r ecognition of pathway mentions in biomedical l iterature. Bonn-Aachen International Center of Information Technology (B-IT), 2013.

Mohebbi, P.: Development and i mplementation of a s ecure g ateway for p rocessing c linical d ata in a h ealth c loud. Fachhochschule Köln, 2013.

Naz, M.: Identification of g enectic v ariants as c andidate b iomarker by using g raph-based a pproach. Bonn-Aachen International Center of Information Technology (B-IT), 2013.

Poitasu, C.: Design and i mplementation of a s oftware i nfrastructure for r elevance f eedback a pplied to b ig d ata from s imulations. RWTH Aachen, 2013.

Shilaih, M.: A workflow for the characterisation of similar ligand binding sites. Bonn-Aachen International Center of Information Technology (B-IT), 2013.

Spenke, A.: Entwicklung und Erstellung von Komponenten eines Prozesskonfigurators für Produktionslinien von Süßwaren. University of Applied Siences Bonn-Rhein-Sieg, 2013.

Bagewadi, S.: Mining of miRNA Relations in Biomedical Literature and Modeling of miRNA-dependent Regulation Bonn-Aachen International Center for Information Technology (B-IT), 2012.

Schubert, L.: Entwicklung und Implementierung von Partitionierungsstrategien für dünn besetzte Matrizen auf hybriden Systemen mit verteiltem Speicher. University of Applied Siences Bonn-Rhein-Sieg, 2012.

Malhotra, A.: Linking h ypothesis p atterns in t ext to d isease m olecular s ignatures. Bonn-Aachen International Center for Information Technology (B-IT), 2012.

Buschulte, K. P.: Entwicklung einer Steuerung für Löser linearer Gleichungssysteme . University of Applied Siences Bonn-Rhein-Sieg, 2012.

Jiali, W.: A k nowledge-based a pproach to analysing g ene e xpression in specific b rain r egions and c ell t ypes. Bonn-Aachen International Center for Information Technology (B-IT), 2012.

Tom Kodamullil, A.: Construction of computable models of Alzheimer’s disease representing Amyloid - ß biology and patho- physiology. Bonn-Aachen International Center for Information Technology (B-IT), 2015.

Bobic, T.: A generic w orkflow for r elation e xtraction in b iomedical t ext using d istant supervision. Bonn-Aachen International Center for Information Technology (B-IT), 2012.

Xuanshi, L.: Dictionary-based named entity r ecognition and normalisation in Chinese b iomedical p ublications. Bonn-Aachen International Center for Information Technology (B-IT), 2011.

Asadulina, A.: A dictionary of chemical names and synonyms merged from different resources based on 2d graph representation for the purpose of recognition of chemical names in the text. Bonn-Aachen International Center for Information Technology (B-IT), 2010.

Gu, L.: Analyzing human complex diseases by applying genome-wide association study, candidate approach, pathway-based approach and endophenotype analysis. Bonn-Aachen International Center for Information Technology (B-IT), 2010.

Tallam, A.: Extraction of numerical measures, statistical evidences and units, their relation extraction with the text. Bonn-Aachen International Center for Information Technology (B-IT), 2010.

Gurulingappa, H.: Concept-based semi-automatic extension of drug hierarchies. Bonn-Aachen International Center for Information Technology (B-IT), 2009.

Haupt, C. S.: Markush structure reconstruction: a prototype for their reconstruction from image and text into a searchable, context sensitive grammar based extension of SMILES. University of Applied Siences Bonn-Rhein-Sieg, 2009. Volltext.

Müller, B.: Visualization and analysis of extracted information from full text and patent corpora. Bonn-Aachen International Center for Information Technology (B-IT), 2009.

Praveen, Paurush: Computational modeling of host-pathogen protein interactions. Bonn-Aachen International Center for Information Technology (B-IT), 2009.

Sahadevan, Sudeep: Adaptation of the mining environment SCAIView to the needs of animal scientists. Bonn-Aachen International Center for Information Technology (B-IT), 2009. Volltext.

Weuffel, T.: Vorbelegung und lose Reservierung von Ressourcen in lokalen Cluster-Umgebunge n : Evaluation, Modellierung und Implementierung eines objektorientierten Cluster-Schedulers unter Berücksichtigung von Advance Reservation und loser Reservierung. University of Applied Siences Bonn-Rhein-Sieg, 2009.

Thomas, Philippe: Automated extraction of variation mentions from literature sources and mapping to a unique database identifier. University of Tuebingen, 2008. Volltext.

Younesi, Erfan: Analysis of molecular interaction networks associated with breast cancer tumour susceptibility. University of Tuebingen, 2008. Volltext.

Faroughi, A.: Integration von VO-Management Technologien in UNICORE. Cologne University of Applied Sciences, 2007. Volltext.

Faroughi, R.: Integration von VO-Management Technologien in UNICORE. Cologne University of Applied Sciences, 2007. Volltext.

Gattermayer, T.: Annotation and v isualization s ystem for knowledge discovery (SCAI View). Bonn-Aachen International Center for Information Technology, 2007.

Gündel, M.: Work f low for m icroarrays ( a rray p rocess). Bonn-Aachen International Center for Information Technology, 2007.

Ou, C.-H.: Extension of chemoCR : from reconstruction of chemical molecules to reconstruction of whole chemical reactions. Bonn-Aachen International Center for Information Technology, 2007.

Shahid, M.: Large s cale v irtual h igh t hroughput s creening (vHTS) on an o ptical h igh s peed t estbed. Bonn, Bonn-Aachen International Center for Information Technology (B-IT), 2007. Volltext.

Galunic, G.: Parallelisierung des Galerkin Produkts im AMG Verfahren mit OpenMP. University of Applied Siences Bonn-Rhein-Sieg, 2006.

Faisal, A.: Analysis of data transfer methods between non-matching meshes in multiphysics simulations. University of Erlangen-Nuernberg, 2005.

Horn, E.: Generierung einer Ontologie für die Klassifikation von Docking-Tools. University of Applied Sciences Bingen, 2005.

Vemula, R.: Fluid structure interaction and thermal coupling in automobile engine exhaust manifold using Mesh Based Parallel Code Coupling Interface (MpCCI). Ruhr-University-Bochum, 2005.

Wäldrich, O.: Meta-Scheduling-Architekturen in komplexen Grid-Umgebungen FH Bonn-Rhein-Sieg, 2005.

Diplom thesis/master’s thesis

The Fraunhofer Institute for Integrated Circuits IIS works with various university lecturers and professors – primarily in the fields of electrical engineering and computer science – who offer topics for diploma theses. Students therefore have the opportunity to complete their diploma thesis with us and with support from our staff. Applicants on a master’s degree program can also choose one of the topics as a master’s thesis.

Electrical engineering topics are usually issued and supervised by the Chair of Information Technologies with a Focus on Communication Electronics (LIKE) at the Friedrich-Alexander-Universität Erlangen-Nürnberg.

Otherwise, projects are awarded and conducted according to the rules of the higher education institution where the applicant is enrolled.

The list below outlines the topics that are currently available. If you’ve found your dream topic but are enrolled at a different higher education institution or on a different course of study, we’ll work with you to try to find a solution. It’s also possible to adapt the scope of a particular research topic. Our staff will then be happy to act as an intermediary between you and the department that issues the topic.

Ihr Browser kann leider keine eingebetteten Frames anzeigen: Sie können die eingebettete Seite über den folgenden Verweis aufrufen: Diplom/Bachelor/Masterarbeiten am Fraunhofer IIS

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