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Mathias Schneider

M.Eng. Mathias Schneider
Wissenschaftlicher Mitarbeiter
Fakultät Elektrotechnik, Medien und Informatik

Telefon +49 (9621) 482-3721
Fax +49 (9621) 482-4721
mat.schneider@oth-aw.de

Amberg, Gebäude A (Verwaltung), Raum 102

Biography

Mathias Schneider (M. Eng.) graduated from the University of Applied Sciences, Amberg-Weiden (OTH-AW), with the thesis "Online and microservice-based data throughput prediction framework in context of mobile-based vehicle-to-server communication for automated driving" with a Master of Engineering (Industrial Information Technology) in 2018. Besides his studies, he acquired professional expertise numerous years at the Siemens AG in Fürth, Germany, in the field of modern HMI runtime (WinCC Comfort and Advance) development, with focus on continuous integration and deployment. Moreover, he interned in a research team for industrial automation system of the Siemens AG in Princeton, USA, contributing on service-oriented architectures for automation engineering software.
Starting in 2018 as a Research Assistant in the Automotive Research group supervised by Prof. Dr. Alfred Höß at OTH-AW, he worked on microservices-based processing pipelines in context of LTE throughput prediction by the means of geostatistical and machine learning based models for the national project Ko-HAF (Cooperative-Highly Automated Driving) and AutoDrive (H2020 ECSEL JU) published in several publications. Lately, he is researching in the field of edge computing for Intelligent Transportation System (ITS) in the project AI4DI (H2020 ECSEL JU).

Conference & Workshop Papers

  1. Mathias Schneider, Ruben Prokscha, Seifeddine Saadani, and Alfred Höß: ECBA-MLI: Edge Computing Benchmark Architecture for Machine Learning Inference, IEEE International Conference on Edge Computing (EDGE), Barcelona, Spain, 2022
  2. Ruben Prokscha, Mathias Schneider and Alfred Höß: Efficient Edge Deployment Demonstrated on YOLOv5 and Coral Edge TPU, International Workshop on Edge Artificial Intelligence for Industrial Applications (EAI4IA), EAI4IA Workshop, Vienna, Austria 2022, published in Industrial Artificial Intelligence Technologies and Applications, River Publishers
  3. Josef Schmid, Patrick Purucker, Mathias Schneider, Rick van der Zwet, Morten Larsen, Alfred Höß: Integration of a RTT Prediction into a Multi-path Communication Gateway, Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops. SAFECOMP 2021. Lecture Notes in Computer Science, vol 12853. Springer, 2021
  4. Josef Schmid, Mathias Schneider, Alfred Höß, Björn Schuller: A Deep Learning Approach for Location Independent Throughput Prediction, IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019
  5. Josef Schmid, Mathias Schneider, Alfred Höß, Björn Schuller: A Comparison of AI-Based Throughput Prediction for Cellular Vehicle-To-Server Communication, 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019

Other Publications

Presentations/Videos

 

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