The following tables contain all students currently performing any kind of project work at the chair.
Student Projects
| Name | Title |
|---|---|
| Tobias Humig | Exploring Performance Modeling of Different Algorithms in AutoPas |
| Mohamad Amoud | Learning Differential Operators for Fluid Dynamics on Unstructured Grids |
| Marc Cunningham | Image Segmentation of Root Micrographs |
| Sreejit Dutta | Quantum Generative Models |
| Omar Ibrahim | Interface and data transfer between quantum computing users and hardware backends |
| Yi-Han Hsieh | Second Order training for Natural Language Processing using Newton-CG Optimizers |
| Xiang Tao | Extending a second order optimizer to NLP |
| Ludwig Gärtner | Integrating Kokkos into AutoPas for hardware agnostic particle simulations |
| Hisham Saeed | Development and evaluation of the Elmer adapter for the coupling library preCice |
| Amr Elsharkawy | Voronoi piecewise surrogate models for derivative-free nonlinear stochastic optimization |
| Nishant Nigam | Uncovering potential losses using knowledge graph embeddings and link prediction |
| Philipp Sedlmeier | Cleaning and Repairing Time Series Data |
| Kaili Wang | Coarse-Graining Crowd Dynamics Simulations with Stochastic Differential Equations |
| Arslan Ansari | 1D-3D partitioned FSI simulations of elastic tubes |
| Nils Sperling | Parallel Uncertainty Quantification of Seismic Simulations |
| Tzu Chien Chang | Data-driven multi-fidelity modeling for terramechanics |
| Daniel Kowatsch | Analysing Kernel Flows through the Koopman Operator |
| Rohan Krishna Saxena | Learning Aerosol Features from Image Data |
| Maximilian Karpfinger | Sign language translation on mobile devices |
| Albert Noswitz | Modeling Upcoming Megaconstellations in Space Debris Environment Simulations |
| Fritz Hofmeier | Integrating Numerical Backend Modularity into torchquad using autoray |
| Timur Etem Eke | AutoPas on A64FX: Evaluation of Arm SVE Vectorization for Optimizing Molecular Dynamics Simulations |
| Lukas Kirchmair | Enabling the compilation of LAMMPS on the invasive Run-time Support System |
| Huaiwei Zhang | Implementing a Molecular Dynamics Simulation for the Invasive Run-Time Support System |
| Burak Mete | A New Approach for Approximating the Hamiltonian Simulation: Using Latent Space Representations of Quantum States with Quantum Autoencoders |
| Fan Xu | Properties of linear operators related to Gaussian Processes |
| Katjana Kosic | Introduction to recommender systems and their applications |
| Markus Englberger | Using Spatially Adaptive Combination Technique for Efficient Quantification of Uncertainty in Hydrological Models |
| Aubrey Coffey | QAOA and quantum optimization for a TSP (traveling salesperson) use case at Infineon |
| Michael Grad | Efficient Parallel Setup of Eigenvalue Problems in the Manifold Learning Framework Datafold |
| Ahmed Darwish | Quantum Process Tomography using Parameterized Quantum Circuits |
| Theodora-Augustina Drăgan | Investigating the Quantum Advantage in Quantum Machine Learning |
| Malik Aarav | Question generation and answering in electrical power system components domain |
| Varun Donadi | unsupervised learning models for anomaly detection in manufacturing industries |
| Anastasia Stamatouli | Deep Generative Modeling of Microscopy Image Data |
| Keerthi Gaddameedi | Efficient and Scalable Kernel Matrix Approximation using Hierarchical Decompositions |
| Sven Hingst | Adjoint-Guided Mesh Refinement for Earthquake Simulations |
| Julia Konrad | Reduced-dimension Context-aware Multi-fidelity Monte Carlo Sampling |
| Jonas Schuhmacher | Efficient Polyhedral Gravitiy Modeling in Modern C++ |
| Thana Guetet | Learning Fluid Dynamics Models that exhibit turbulent bahavior |
| Zayneb Miri | Light microscopy Image Segmantation Using Gaussian Processes |
| Jakub Fiedler | CO2 Gas Leak Detection and quantification using neural networks |
| Thomas Sedlmeyr | Verwendung von Methoden des Maschinellen Lernens zur Vorhersage von Strömungsgradientenmaximima an einer Raumkapsel |
| Ankur Agrawal | Circuit Modeling using Machine Learning |
| Mikhail Erushev | Knowledge Graph Construction for Railway System Data Lakes |
| Marius Bohn | Homogenization of Rapidly Varying Coefficients for Seismic Simulations |
Student Assistants
Name
Bhatia, Kanishk
Haag, Daniel
Manavalan, Rahul
Martin, David
Puscas, Alexander
Reutelsterz, Elias
Zonta, Elia