Dr. Alper Yegenoglu
Automatic Control (RAT)
PostDoc
Research and teaching
- E-Mail:
- alper.yegenoglu@uni-paderborn.de
- Phone:
- +49 5251 60-1898
- ORCID:
- 0000-0001-8869-215X
- Web:
- Homepage
- Homepage (Extern)
- Social Media:
- Office Address:
-
Pohlweg 47-49
33098 Paderborn - Room:
- P1.7.15.4
Research
Research Interests
- Machine learning, AI
- Computational neuroscience, neuromorphic computing
- Meta-learning, multi-task learning
- Multi-agent modelling, swarm intelligence
Publications
Selected Publications
Multi-agent systems powered by large language models: applications in swarm intelligence
C. Jimenez-Romero, A. Yegenoglu, C. Blum, Frontiers in Artificial Intelligence 8 (2025).
Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks
C. Jimenez Romero, A. Yegenoglu, A. Pérez Martín, S. Diaz-Pier, A. Morrison, Swarm Intelligence 18 (2023) 1–29.
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn
A. Yegenoglu, A. Subramoney, T. Hater, C. Jimenez-Romero, W. Klijn, A. Pérez Martín, M. van der Vlag, M. Herty, A. Morrison, S. Diaz-Pier, Frontiers in Computational Neuroscience 16 (2022).
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
A. Yegenoglu, K. Krajsek, S.D. Pier, M. Herty, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2021.
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