Michael Petry

E-Mail:	michael.petry@tum.de
Phone:	4285
Room:	9377.01.113
Address:	Airbus Defence and Space GmbH Michael Petry Abteilung Telecom Processing Germany (TSTCG-TL2) Willy-Messerschmitt-Straße 9 82024 Taufkirchen

Research Interests

Deep Learning
Information Theory
AI-designed PHY communication
5G/6G Non-Terrestrial-Network (NTN)
ML-augmented Network orchestration
FPGA AI Deployment
Finite-Element-Method physical simulations

Awards

IEEE ComSoc FOUR-MINUTE-THESIS (4MT) COMPETITION - Third Price

Projects

Machine Learning for Telecommunication Satellites (MaLeTeSa): This DLR-sponsored project aims to explore how artificial intelligence can benefit telecommunication satellites. It comprises two components. The first component focuses on exploring and developing machine-learning-based software and algorithms in the fields of wireless communication signal processing, anomaly detection, and network orchestration, while the other one aims at developing a space-grade System-on-Chip-based AI-Processor on which the algorithms shall be deployed on-board the satellite. The main focus of my doctorate is both developing AI-based RF algorithms and implementing them on the hardware platform. The result is a hybrid processing pipeline that comprises both neural networks and classic DSP components, which is then realized on the heterogeneous hardware platform. By distributing the processing steps between FPGA, AI-Engines (ASIC-like vector processors), and CPU, and ensuring optimal data transfer between those components, an efficient implementation is achieved.
Artificial Intelligence for Anti-Jamming (AJAI): In this ESA-sponsored project we explore how artificial intelligence-based techniques can be applied to achieving a robust satellite communication link that is particularly resilient to external signal jamming attacks. By focusing on partial band, multi-tone, follower, and sweeper jammer scenarios, we design a waveform comprising an AI-assisted feedback loop and implement it on the space-grade AI-processor hardware which is developed within the MaLeTeSa project (see above).
5G Autosat KI: In this DLR-sponsored project we implement a 3GPP standard-compliant 5G basestation (gNodeB) cellular stack on a System-on-Chip (FPGA, AI-Engines, CPU)-based space-grade hardware platform and augment it with AI processing capabilities. After completing the AI-related steps of this project (designing, training, and deployment of a proof-of-concept traffic prediction algorithm based on 5G user meta-data), I am focusing on extending the hardware setup with a high-performance RF interface to improve maximum communication speeds.

Publications

Petry, M., Parlier, B., Koch, A., & Werner, M. (2024). Auto-Regressive RF Synchronization Using Deep-Learning. IEEE International Conference on Machine Learning for Communication and Networking. [PDF] [BibTeX]
```
@article{2024_RFSynchronization_ICMLCN_Petry,
  title = {Auto-Regressive RF Synchronization Using Deep-Learning},
  author = {Petry, Michael and Parlier, Benjamin and Koch, Andreas and Werner, Martin},
  journal = {IEEE International Conference on Machine Learning for Communication and Networking},
  year = {2024},
  month = may
}
```

Koch, A., Petry, M., & Werner, M. (2024). Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine Learning. Proceedings of MulTiSA 2024, the 1st Workshop on Multivariate Time Series Analytics in Conjunction with ICDE 24, 1–8. [PDF] [BibTeX]

@article{2024_Framework_StreamingAnomalyDetection,
  author = {Koch, Andreas and Petry, Michael and Werner, Martin},
  title = {Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with
  Machine Learning},
  booktitle = {Proceedings of MulTiSA 2024, the 1st Workshop on Multivariate Time Series Analytics in conjunction with ICDE 24},
  year = {2024},
  month = may,
  publisher = {IEEE},
  keywords = {Machine learning, anomaly detection, stream mining, online learning, multivariate time series},
  pages = {1-8},
  location = {Utrecht, Netherlands}
}

Petry, M., Koch, A., & Werner, M. (2023). Envisioning Physical Layer Flexibility Through the Power of Machine-Learning. GC Wkshps. [PDF] [BibTeX]
```
@article{2023_globecom_bm_petry,
  title = {Envisioning Physical Layer Flexibility Through the Power of Machine-Learning},
  author = {Petry, Michael and Koch, Andreas and Werner, Martin},
  journal = {GC Wkshps},
  year = {2023},
  month = dec
}
```

Petry, M., Wuwer, G., Koch, A., Gest, P., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning Inference on the Versal adaptive SoC in the Space Domain. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–8. https://doi.org/10.23919/EDHPC59100.2023.10396011 [Online] [BibTeX]

@article{2023_edhpc_versal_petry,
  author = {Petry, Michael and Wuwer, Gabriel and Koch, Andreas and Gest, Patrick and Ghiglione, Max and Werner, Martin},
  booktitle = {2023 European Data Handling & Data Processing Conference (EDHPC)},
  title = {Accelerated Deep-Learning Inference on the Versal adaptive SoC in the Space Domain},
  year = {2023},
  month = oct,
  pages = {1-8},
  keywords = {Adaptation models;Adaptive systems;Parallel processing;Throughput;Hardware;System-on-chip;Field programmable gate arrays;fpga;hardware accelerator;neural network;machine learning;AMD-Xilinx Versal;roofline model},
  doi = {10.23919/EDHPC59100.2023.10396011},
  isbn = {978-9-09-037924-1},
  url = {https://doi.org/10.23919/EDHPC59100.2023.10396011},
  location = {Juan Les Pins, France}
}

Koch, A., Krstova, A., Hegwein, F., De Lera, M. C., Ales, F., Petry, M., Ali, R., Mallah, M., Hili, L., Ghiglione, M., & Werner, M. (2023). On-Board Anomaly Detection on a Flight-Ready System. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–4. https://doi.org/10.23919/EDHPC59100.2023.10395967 [PDF] [Online] [BibTeX]

@article{2023_ADAP_Andreas,
  author = {Koch, Andreas and Krstova, Alisa and Hegwein, Florian and De Lera, Mario Castro and Ales, Filippo and Petry, Michael and Ali, Rashid and Mallah, Maen and Hili, Laurent and Ghiglione, Max and Werner, Martin},
  title = {On-Board Anomaly Detection on a Flight-Ready System},
  booktitle = {2023 European Data Handling & Data Processing Conference (EDHPC)},
  isbn = {978-9-09-037924-1},
  doi = {10.23919/EDHPC59100.2023.10395967},
  url = {https://doi.org/10.23919/EDHPC59100.2023.10395967},
  year = {2023},
  month = oct,
  keywords = {Machine learning algorithms;Satellites;Telemetry;Anomaly detection;Hardware acceleration;Research and development;Matlab;Machine learning;anomaly detection;FPGA;PUS;co-processor;on-board AI},
  pages = {1-4},
  location = {Juan Les Pins, France}
}

Koch, A., Dax, G., Petry, M., Gomez, H., Raoofy, A., Saroliya, U., Ghiglione, M., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Reference Implementations for Machine Learning Application Benchmark. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–3. https://doi.org/10.23919/EDHPC59100.2023.10396582 [PDF] [Online] [BibTeX]

@article{2023_MLAB2_Andreas,
  author = {Koch, Andreas and Dax, Gabriel and Petry, Michael and Gomez, Harvey and Raoofy, Amir and Saroliya, Urvij and Ghiglione, Max and Furano, Gianluca and Werner, Martin and Trinitis, Carsten and Langer, Martin},
  title = {Reference Implementations for Machine Learning Application Benchmark},
  booktitle = {2023 European Data Handling & Data Processing Conference (EDHPC)},
  isbn = {978-9-09-037924-1},
  doi = {10.23919/EDHPC59100.2023.10396582},
  url = {https://doi.org/10.23919/EDHPC59100.2023.10396582},
  year = {2023},
  month = oct,
  keywords = {Earth;Satellites;Publishing;Machine learning;Benchmark testing;Hardware;Telemetry;Machine learning;neural networks;benchmark;FPGA;datasets;power consumption},
  pages = {1-3},
  location = {Juan Les Pins, France},
  project = {mlab}
}

Koch, A., Petry, M., Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Machine Learning Application Benchmark. 20th ACM International Conference on Computing Frontiers (CF ’23), May 9–11, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592769 [PDF] [BibTeX]
```
@article{2023_MLAB_Andreas,
  author = {Koch, Andreas and Petry, Michael and Ghiglione, Max and Raoofy, Amir and Dax, Gabriel and Furano, Gianluca and Werner, Martin and Trinitis, Carsten and Langer, Martin},
  title = {Machine Learning Application Benchmark},
  doi = {10.1145/3587135.3592769},
  isbn = {979-8-4007-0140-5/23/05},
  booktitle = {20th ACM International Conference on Computing Frontiers (CF
  '23), May 9--11, 2023, Bologna, Italy},
  publisher = {ACM},
  year = {2023},
  month = may,
  project = {mlab}
}
```
Petry, M., Gest, P., Koch, A., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning inference on FPGAs in the Space Domain. Computing Frontiers 2023. [PDF] [BibTeX]
```
@article{2023_Computing_Frontiers_Versal_Michael,
  title = {Accelerated Deep-Learning inference on FPGAs in the Space Domain},
  journal = {Computing Frontiers 2023},
  author = {Petry, Michael and Gest, Petrick and Koch, Andreas and Ghiglione, Max and Werner, Martin},
  year = {2023}
}
```
Petry, M., Koch, A., Werner, M., Hoch, U., Helfers, T., & Wiest, R. (2023). Machine Learning on Telecommunication Satellite. DATA SYSTEMS IN AEROSPACE - 2023 DASIA. [PDF] [BibTeX]
```
@article{2023_Dasia_Michael,
  title = {Machine Learning on Telecommunication Satellite},
  journal = {DATA SYSTEMS IN AEROSPACE - 2023 DASIA},
  author = {Petry, Michael and Koch, Andreas and Werner, Martin and Hoch, Uwe and Helfers, Tim and Wiest, Richard},
  year = {2023}
}
```

Other Publications

Petry, M., & Habib, M. S. (2023). Random Design Variations of Hollow-core Anti-resonant Fibers: A Monte-Carlo Study. IEEE Journal of Selected Topics in Quantum Electronics, 1–10. https://doi.org/10.1109/JSTQE.2023.3321298 [BibTeX]
```
@article{PetryJSTQE23,
  author = {Petry, Michael and Habib, Md. Selim},
  journal = {IEEE Journal of Selected Topics in Quantum Electronics},
  title = {Random Design Variations of Hollow-core Anti-resonant Fibers: A Monte-Carlo Study},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-10},
  doi = {10.1109/JSTQE.2023.3321298}
}
```

Petry, M., & Habib, M. S. (2023). Post-fabrication performance of nested hollow-core fibers with perturbed cladding structures. In B. Witzigmann, M. Osiński, & Y. Arakawa (Eds.), Physics and Simulation of Optoelectronic Devices XXXI (Vol. 12415, p. 124150L). SPIE. https://doi.org/10.1117/12.2647494 [Online] [BibTeX]

@inproceedings{PetrySPIE23,
  author = {Petry, Michael and Habib, Md Selim},
  title = {{Post-fabrication performance of nested hollow-core fibers with perturbed cladding structures}},
  volume = {12415},
  booktitle = {Physics and Simulation of Optoelectronic Devices XXXI},
  editor = {Witzigmann, Bernd and Osiński, Marek and Arakawa, Yasuhiko},
  organization = {International Society for Optics and Photonics},
  publisher = {SPIE},
  pages = {124150L},
  keywords = {Hollow-core fiber, Monte-Carlo technique, Numerical simulation, Post-fabrication performance, Realistic fiber, Imperfect geometry},
  year = {2023},
  doi = {10.1117/12.2647494},
  url = {https://doi.org/10.1117/12.2647494}
}

Petry, M., Amezcua-Correa, R., & Habib, M. S. (2022). Random misalignment and anisotropic deformation of the nested cladding elements in hollow-core anti-resonant fibers. Opt. Express, 30(19), 34712–34724. https://doi.org/10.1364/OE.465329 [Online] [BibTeX]

@article{PetryOE22,
  author = {Petry, Michael and Amezcua-Correa, Rodrigo and Habib, Md. Selim},
  journal = {Opt. Express},
  keywords = {Bend loss; Extreme ultraviolet; Fiber fabrication; Hollow core fibers; Optical fibers; Single mode fibers},
  number = {19},
  pages = {34712--34724},
  publisher = {Optica Publishing Group},
  title = {Random misalignment and anisotropic deformation of the nested cladding elements in hollow-core anti-resonant fibers},
  volume = {30},
  month = sep,
  year = {2022},
  url = {https://opg.optica.org/oe/abstract.cfm?URI=oe-30-19-34712},
  doi = {10.1364/OE.465329}
}

Petry, M., Markos, C., Correa, R. A., & Habib, M. S. (2022). Multi-mode guidance in enhanced inhibited coupling hollow-core anti-resonant fibers. Conference on Lasers and Electro-Optics, JTh3B.42. https://opg.optica.org/abstract.cfm?URI=CLEO_SI-2022-JTh3B.42 [Online] [BibTeX]

@inproceedings{PetryCLEO22,
  author = {Petry, Michael and Markos, Christos and Correa, Rodrigo A. and Habib, Md. Selim},
  booktitle = {Conference on Lasers and Electro-Optics},
  journal = {Conference on Lasers and Electro-Optics},
  keywords = {Effective refractive index; Fiber design; Hollow core fibers; Laser velocimetry; Refractive index; Ultrafast nonlinear optics},
  pages = {JTh3B.42},
  publisher = {Optica Publishing Group},
  title = {Multi-mode guidance in enhanced inhibited coupling hollow-core anti-resonant fibers},
  year = {2022},
  url = {https://opg.optica.org/abstract.cfm?URI=CLEO_SI-2022-JTh3B.42}
}

Petry, M., & Habib, M. S. (2022). Random cladding misalignments and anisotropic deformations in nested hollow-core fibers. Optica Advanced Photonics Congress 2022, JW3A.55. https://opg.optica.org/abstract.cfm?URI=SOF-2022-JW3A.55 [Online] [BibTeX]

@inproceedings{PetryAPC122,
  author = {Petry, Michael and Habib, Md. Selim},
  booktitle = {Optica Advanced Photonics Congress 2022},
  journal = {Optica Advanced Photonics Congress 2022},
  keywords = {Anisotropy; Extinction ratios; Extreme ultraviolet; Hollow core fibers; Optical properties; Ultraviolet radiation},
  pages = {JW3A.55},
  publisher = {Optica Publishing Group},
  title = {Random cladding misalignments and anisotropic deformations in nested hollow-core fibers},
  year = {2022},
  url = {https://opg.optica.org/abstract.cfm?URI=SOF-2022-JW3A.55}
}

Petry, M., & Habib, M. S. (2022). Analyzing random design imperfection in hollow-core anti-resonant fibers. Optica Advanced Photonics Congress 2022, JW3A.21. https://opg.optica.org/abstract.cfm?URI=Networks-2022-JW3A.21 [Online] [BibTeX]

@inproceedings{PetryAPC222,
  author = {Petry, Michael and Habib, Md. Selim},
  booktitle = {Optica Advanced Photonics Congress 2022},
  journal = {Optica Advanced Photonics Congress 2022},
  keywords = {Dispersion; Fiber optics; Hollow core fibers; Optical potentials; Optical properties},
  pages = {JW3A.21},
  publisher = {Optica Publishing Group},
  title = {Analyzing random design imperfection in hollow-core anti-resonant fibers},
  year = {2022},
  url = {https://opg.optica.org/abstract.cfm?URI=Networks-2022-JW3A.21}
}

Petry, M., & Habib, M. S. (2022). Impact of random structural perturbations on Hollow-Core Anti-Resonant Fibers. 2022 IEEE Photonics Society Summer Topicals Meeting Series (SUM), 1–2. https://doi.org/10.1109/SUM53465.2022.9858234 [BibTeX]
```
@inproceedings{PetryIEEESUM22,
  author = {Petry, Michael and Habib, Md. Selim},
  booktitle = {2022 IEEE Photonics Society Summer Topicals Meeting Series (SUM)},
  title = {Impact of random structural perturbations on Hollow-Core Anti-Resonant Fibers},
  year = {2022},
  volume = {},
  number = {},
  pages = {1-2},
  doi = {10.1109/SUM53465.2022.9858234}
}
```
Petry, M., & Habib, M. S. (2021). Anisotropic Nested Hollow-core Fiber Designs. 2021 IEEE Photonics Conference (IPC), 1–2. https://doi.org/10.1109/IPC48725.2021.9592982 [BibTeX]
```
@inproceedings{petryIPC21,
  author = {Petry, Michael and Habib, Md. Selim},
  booktitle = {2021 IEEE Photonics Conference (IPC)},
  title = {Anisotropic Nested Hollow-core Fiber Designs},
  year = {2021},
  volume = {},
  number = {},
  pages = {1-2},
  doi = {10.1109/IPC48725.2021.9592982}
}
```