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ORCIDJonah Ekelund
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2020 – today
- 2026
[j2]Luca Pennati
, Jonah Ekelund, Andong Hu, Ivy Peng, Stefano Markidis:
Disturbance storm time index prediction with interpretable machine learning. J. Comput. Sci. 95: 102821 (2026)- [j1]Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis:
Time-invariant properties and principal components of in-situ measurements used for outlier detection in space missions. J. Comput. Sci. 97: 102855 (2026) - [c7]Jeremy J. Williams, Jordy Trilaksono, Stefan Costea, Yi Ju, Luca Pennati, Jonah Ekelund, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Allen D. Malony, Sameer Shende, Tilman Dannert, Frank Jenko, Erwin Laure, Stefano Markidis:
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems. ICCS (1) 2026: 32-47 - [c6]Stefano Markidis, Jonah Ekelund, Luca Pennati:
A Generative Atlas of the Earth's Magnetosphere. ICCS (1) 2026: 457-471 - [i6]Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund, Ekaterina Dineva, George Miloshevich, Panagiotis Gonidakis, Artur Podobas:
Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference. CoRR abs/2603.14091 (2026) - [i5]Jeremy J. Williams, Jordy Trilaksono, Stefan Costea, Yi Ju, Luca Pennati, Jonah Ekelund, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Allen D. Malony, Sameer Shende, Tilman Dannert, Frank Jenko, Erwin Laure, Stefano Markidis:
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems. CoRR abs/2603.24508 (2026) - 2025
- [c5]Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng:
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression. ICCS (1) 2025: 122-136 - [c4]Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis:
Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions. ICCS (1) 2025: 253-267 - [c3]Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund, Ekaterina Dineva, George Miloshevich, Panagiotis Gonidakis, Artur Podobas:
Evaluating Four FPGA-Accelerated Space Use Cases Based on Neural Network Algorithms for On-Board Inference. MCSoC 2025: 804-812 - [c2]Jonah Ekelund, Stefano Markidis, Ivy Peng:
Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs. PDP 2025: 70-77 - [i4]Jonah Ekelund, Stefano Markidis, Ivy Peng:
Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs. CoRR abs/2501.09398 (2025) - [i3]Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis:
Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions. CoRR abs/2504.15846 (2025) - [i2]Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng:
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression. CoRR abs/2504.18461 (2025) - 2024
- [c1]Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis:
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. e-Science 2024: 1-10 - [i1]Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis:
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. CoRR abs/2406.14297 (2024)
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