Applied AI Engineer | Computer Vision & Agentic Systems | Scalable Azure Deployments
I specialize in building and deploying state-of-the-art AI solutions that solve complex real-world problems. My work at the Bosch Center for AI (BCAI) focuses on the intersection of advanced Computer Vision, Agentic Systems, and scalable cloud infrastructure.
- Exploring agentic systems for task and process automation
- Building scalable cloud systems for multi-location low-latency inference
- Synthesizing images to improve accuracy and robustness of neural networks in production settings
- Reducing neural network latency and energy consumption through edge-optimized neural architecture search
- PhD in: Efficient Processing of Event Camera Streams for Low-Power Neural Networks
| Date | Publication | Authors | Conference |
|---|---|---|---|
| 06/2023 | How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); Fourth International Workshop on Event-Based Vision |
| 08/2021 | Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | DAGM German Conference on Pattern Recognition (GCPR) 2021 |
| 05/2020 | Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | Frontiers in Neuroscience 14, p. 439. |
| 11/2019 | Accelerated physical emulation of Bayesian inference in spiking neural networks | AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, E Müller, C Koke, M Kleider, C Mauch, O Breitwieser, L Leng, N Gürtler, M Güttler, D Husmann, K Husmann, A Hartel, V Karasenko, A Grübl, J Schemmel, K Meier, MA Petrovici | Frontiers in Neuroscience 13, p. 1201. |