Previous talks at the SCCS Colloquium

SCCS Colloquium |

Mostafa ElHayani: Real-time Object Detection Uncertainty Quantification using Augmented Images for Autonomous Vehicles.

Master's thesis presentation. Mostafa is advised by Kislaya Ravi, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Boris Liu: Accounting for states and parameter uncertainty of the HBV-SASK hydrologic model using particle filtering as a sequential data assimilation technique

Bachelor's thesis presentation. Boris is advised by Ivana Jovanovic Buha, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Yize Jiang: Full Waveform Inversion 
Using Generative Adversial Network Regularizers

Master's thesis presentation. Yize is advised by Qing Sun, and Dr. Felix Dietrich.

SCCS Colloquium |

Patrick Bettermann: Analysis of Aircraft Noise Data in the Area of the Airport of Hamburg

Master's thesis presentation. Patrick is adviesd by Dr. Arthur Schady, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Kay Cole: Implementation and Vectorization of the Mie Potential in AutoPas

Bachelor's thesis presentation. Kay is advised by Samuel Newcome, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Niklas Vinnitchenko: Evaluation of higher-order coupling schemes with FEniCS-preCICE

Bachelor's thesis presentation. Niklas is advised by Benjamin Rodenberg, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Dev Hathi: Development of a Fully-Differentiable Multiphase Lattice Boltzmann Solver

Guided research presentation. Dev is advised by Dr. Tobias Neckel, Josef Winter, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Erenay Karacan: Noise Tolerant Quantum Algorithm for Ground State Energy Estimation

Bachelor's thesis presentation. Erenay is advised by Yanbin Chen, and Prof. Dr. Christian B. Mendl.

SCCS Colloquium |

Chengye Zhang: Portfolio Optimization Using Multi-Fidelity Gaussian Process

Master's thesis presentation. Chengye is advised by Kislaya Ravi, and Prof. Dr. Hans-Joachim Bungartz.

SCCS Colloquium |

Onur Eker: Scalable Sampling of Deep Neural Operators

Master's thesis presentation. Onur is advised by Iryna Burak, and Dr. Felix Dietrich.