apl. Prof. Dr. Harald Köstler

Lehrstuhl für Informatik 10 (Systemsimulation)

Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa (2023) Dahmardeh M, Mirzaalian Dastjerdi H, Mazal H, Köstler H, Sandoghdar V Journal article Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming (2022) Schmitt J, Köstler H Conference contribution, Conference Contribution Fusion of Massively-Parallel Simulation Frameworks and Code Generation Methodologies for Lattice Boltzmann and Multigrid Applications (2022) Angersbach R, Köstler H, Kuckuk S Conference contribution, Abstract of a poster Bringing Water to the Fields - A Code Generation Pipeline for SWE Simulations on FPGAs (2022) Alt C, Opdenhövel JO, Plessl C, Kenter T, Hönig J, Köstler H Conference contribution, Abstract of a poster Known operator learning and hybrid machine learning in medical imaging - A review of the past, the present, and the future (2022) Maier A, Köstler H, Heisig M, Krauß P, Yang SH Journal article, Review article Closing the Performance Gap Between Lisp and C (2022) Heisig M, Köstler H Conference contribution, Original article Optimized analysis for sensitive detection and analysis of single proteins via interferometric scattering microscopy (2022) Mirzaalian Dastjerdi H, Dahmardeh M, Gemeinhardt A, Mahmoodabadi RG, Köstler H, Sandoghdar V Journal article Automatic Generation of Load-Balancing-Aware Block-Structured Grids for Complex Ocean Domains. (2022) Zint D, Grosso R, Aizinger V, Faghih-Naini S, Kuckuk S, Köstler H Conference contribution Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes (2022) Jacob S, Mrosek M, Othmer C, Köstler H Journal article On revisiting energy and performance in microservices applications: A cloud elasticity-driven approach (2021) Fontana de Nardin I, da Rosa Righi R, Lima Lopes TR, André da Costa C, Yeom HY, Köstler H Journal article