About me
I am a PhD student in the Chair of Computer Architecture under supervision of Prof. Dr.-Ing. Wolfram Schiffmann at the FernUniversität in Hagen.
My research comprises a reliable identification of proper Emergency Landing Fields by applying Machine Learning techniques. I am especially interested in Deep Learning for computer vision task and Neural Architecture Search.
Interests
- Emergency Landing Field Identification
- Deep Learning
- Neural Architecture Search
- Kubernetes
Publications
(2021).
Example application of the best performing, evolved neural networks during neural architecture search.
Zenodo.
(2021).
Scalable and Highly Available Multi-Objective Neural Architecture Search in Bare Metal Kubernetes Cluster.
Deadline: March 2021.
(2021).
A Hierarchical Ensemble Transfer Learning Model for a Reliable Emergency Landing Field Identification.
Deadline: February 2021.
(2020).
Example Application for a Patch-Based Segmentation of Potential Emergency Landing Areas.
Zenodo.
(2020).
Transfer Learning Models and Datasets for a Reliable Emergency Landing Field Identification.
Zenodo.
(2020).
Example application of the best performing Vector- Output model including sample data for traffic forecast of the city Hagen.
Zenodo.
(2020).
Emergency Landing Field Identification Based on a Hierarchical Ensemble Transfer Learning.
Proceedings - 8th International Symposium on Computing and Networking, CANDAR.
(2020).
A Smart Flight Director for Emergency Landings with Dynamical Recalculation of Stable Glide Paths.
AIAA AVIATION FORUM.
(2020).
Emergency Landing Field Identification Based on a Hierarchical Ensemble Transfer Learning Model.
2020 Eighth International Symposium on Computing and Networking (CANDAR).
(2020).
Ensemble transfer learning for emergency landing field identification on moderate resource heterogeneous kubernetes cluster.
arXiv.
(2019).
Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
(2019).
Multi-Modal Image Processing Pipeline for a Reliable Emergency Landing Field Identification.
5th CEAS Conference on Guidance, Navigation and Control.
(2018).
Moving target approach for wind-aware flight path generation.
International Journal of Networking and Computing.
(2018).
Wind-Aware Emergency Landing Assistant Based on Dubins Curves.
Proceedings - 5th International Symposium on Computing and Networking, CANDAR.
Preprints and working papers
(2021).
Scalable and Highly Available Multi-Objective Neural Architecture Search in Bare Metal Kubernetes Cluster.
Deadline: March 2021.
(2021).
A Hierarchical Ensemble Transfer Learning Model for a Reliable Emergency Landing Field Identification.
Deadline: February 2021.
Software and dataset publications
(2021).
Example application of the best performing, evolved neural networks during neural architecture search.
Zenodo.
(2020).
Example Application for a Patch-Based Segmentation of Potential Emergency Landing Areas.
Zenodo.
Event Attendances
- CANDAR 2020, Aomori, Japan (online)
- ICoTSC 2020, Madrid, Spain (online)
- ICANN 2019, Munich, Germany
- Aerospace Engineering Summer School 2019, Moscow, Russia
- IDL 2019, Berlin, Germany
- EuroGNC 2019, Milano, Italy
- DGLR-Workshop Flugregelung, Berlin, Germany
- CANDAR 2017, Aomori, Japan
- PUMPS Summer School 2017, Barcelona, Spain
- 27th PARS-Workshop 2017, Hagen, Germany
Contact
- andreas.klos@fernuni-hagen.de
- +49 2331 987-4422
- Universistätsstraße 1, Hagen, NRW 58097