Prof. Dr. Matthias Rosenthal

Work at ZHAW

Position

• Head of Research/Focus Area Realtime Platforms
• Professor for Multiprocessor and Realtime Systems (IEM-InES)

Focus

• Multiprocessors, Hybrid Multicore Systems
• Distributed Digital Signal Proccessing
• Realtime Audio/Video Processing
• Embedded GPU Processing
• Embedded Computing

Teaching

Lectures in Digital-Systems, Realtime Embedded Computing und Information Theory

Professional development teaching

• CAS KI verstehen und anwenden: No-Code Lösungen für die betriebliche Praxis
• WBK Embedded Linux: Vom Kernel bis zu Realtime-Systemen

Experience

• Professor and Head of Research Area
  ZHAW
  07 / 2018 - today
• Expert for Innosuisse
  Innosuisse
  05 / 2018 - 12 / 2025
• Senior Lecturer and Head of Research Area
  ZHAW
  05 / 2014 - 06 / 2018
• Cofounder and CTO
  sonic emotion AG
  10 / 2002 - 04 / 2014
• Project Manager Video Traffic & Scheduling
  Nagravision, Kudelski S
  07 / 1999 - 02 / 2001
• System Architect
  Studer Professional Audio (Harman International)
  10 / 1996 - 06 / 1999

Education and Continuing education

Education

• PhD / Electrical Engineering
  ETH Zurich
  04 / 1993 - 03 / 1997
• MSc (Dipl. El. Ing.) / Electrical Engineering
  ETH Zurich
  10 / 1987 - 03 / 1993

Continuing Education

CAS Didactics
ZHAW
03 / 2015

Network

Awards

CTI Startup Label
CTI/Innosuisse
09 / 2005

Social media

Linkedin

Projects

• Adaptive Dimensionality-Reduced Encryption Protocol for Time-Series Sensors / Project leader / ongoing
• Multi-dof material analysis nano-testing device at ultra high acquisition / Project leader / ongoing
• dAIrector – Automated multi-camera live production for events / Deputy project leader / ongoing
• Novel AFM Techniques for Autonomous Quality Control in Industrial Manufacturing / Project leader / ongoing
• Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI / Project leader / ongoing
• In-Flight GNSS Interference Detection / Project leader / completed
• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Deputy project leader / completed
• Scalable AV Platform for Edge AI Computing / Co-project leader / completed
• Pilot study machine learning for injection molding processes / Team member / completed
• Density measurement device / Project leader / completed
• High speed communication link for atomic force microscope instrumentation / Project leader / completed
• AFM with PORT: Atomic force microscope with photothermal off-resonance tapping / Project leader / completed
• Visual Food Waste Analysis for Sustainable Kitchens / Project leader / completed
• Collision prevention for laser cutting machine / Project leader / completed
• New high-performance platform for digital dynamic signal processing / Project leader / completed
• Audio Processing in OpenCL / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Asmari, N., Neuner, L., Weiss, R., Mazloumian, A., Rosenthal, M., Karimi, A., & Fantner, G. (2025). Data-driven control in atomic force microscopy using a genetic algorithm. Ultramicroscopy, 275(114156). https://doi.org/10.1016/j.ultramic.2025.114156
• Yan, P., Abdulkadir, A., Luley, P.-P., Rosenthal, M., Schatte, G. A., Grewe, B. F., & Stadelmann, T. (2024). A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions. IEEE Access, 12, 3768–3789. https://doi.org/10.1109/ACCESS.2023.3349132

Written conference contributions, peer-reviewed

• Isztl, D., & Rosenthal, M. (2025). Multimodal autoregressive U-Net transformer architecture for pixelwise image and text conditioning (MUT) [Conference paper]. 2025 IEEE Swiss Conference on Data Science (SDS), 166–169. https://doi.org/10.1109/sds66131.2025.00032
• Yan, P., Abdulkadir, A., Schatte, G. A., Aguzzi, G., Gha, J., Pascher, N., Rosenthal, M., Gao, Y., Grewe, B. F., & Stadelmann, T. (2025). Learning actionable world models for industrial process control [Conference paper]. 2025 IEEE Swiss Conference on Data Science (SDS), 111–118. https://doi.org/10.1109/SDS66131.2025.00022
• Delafontaine, T., & Rosenthal, M. (2024). Efficient mapping of neural networks on FPGA with generated HDL code [Conference paper]. Proceedings of the 2024 Embedded World Conference, 518–521. https://doi.org/10.21256/zhaw-32431
• Wegmann, M., & Rosenthal, M. (2022). Real time motion tracking for augmented reality with TOF camera and vulkan rendering [Conference paper]. In A. Sikora (Ed.), Proceedings of Embedded World Conference 2022 (pp. 661–665). WEKA. https://doi.org/10.21256/zhaw-26948
• Zingg, R., Andermatt, P., Mazloumian, A., & Rosenthal, M. (2021). Smart food waste management : embedded machine learning vs cloud based solutions [Conference paper]. In E. Mugellini & E. Carpanzano (Eds.), Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-23847
• Simmler, N., Sager, P., Andermatt, P., Chavarriaga, R., Schilling, F.-P., Rosenthal, M., & Stadelmann, T. (2021). A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications [Conference paper]. Proceedings of the 8th SDS, 26–31. https://doi.org/10.1109/SDS51136.2021.00012
• Delafontaine, T., & Rosenthal, M. (2021, May). Secure boot concept on the Zynq Ultrascale+ MPSoC. Embedded World Conference 2021, Online, 1.-5. März 2021. https://doi.org/10.21256/zhaw-23966
• Huber, P., & Rosenthal, M. (2020, February 27). Direct data exchange between FPGAs and GPUs using GPUDirect. Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.
• Zingg, R., & Rosenthal, M. (2020, February 26). Artificial intelligence on microcontrollers. Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.
• Welti, T., & Rosenthal, M. (2018). Partitioning of computationally intensive tasks between FPGA and CPUs. Embedded World Conference, Nuremberg, Germany, 27 February - 1 March 2018. https://doi.org/10.21256/zhaw-3523
• Gelke, H.-J., Rosenthal, M., Kammacher, T., & Mazloumian, A. (2016). Using mobile processors for general purpose industrial signal processing. Embedded World Conference, Nuremberg, Germany, 23-25 February 2016.
• Kammacher, T., Frei, M., & Rosenthal, M. (2016). 4K HEVC video processing with GPU optimization on Jetson TX1. GPU Technology Conference Europe, Amsterdam, Netherlands, 28. September 2016. https://doi.org/10.21256/zhaw-3693
• Welti, T., & Rosenthal, M. (2016, June 30). Ultra low latency wireless video streaming system for medical endoscopes. CTI Micro-Nano Event, Basel, 30. Juni 2016.
• Welti, T., & Rosenthal, M. (2016, February 24). A low-latency yet highly reliable wireless video transfer system. Electronic Displays Conference, Nürnberg, Deutschland, 24.-25. Februar 2016.

Other publications

• Huber, P., & Rosenthal, M. (2020). Echtzeit-Datenaustausch zwischen FPGA und GPU. Aktuelle Technik, 2020(2), 32–33.
• Mazloumian, A., & Rosenthal, M. (2016). A Wi-Fi direct system architecture for proximity-based applications. Proceedings.

Oral conference contributions and abstracts

• Senekowitsch, R. L., & Rosenthal, M. (2024, October 23). Platform-independent FPGA AI mapping tool based on FINN. European Conference on EDGE AI Technologies and Applications (EEAI), Cagliari, Italy, 21-23 October 2024.
• Rosenthal, M. (2024, May 28). OMAHA : open measurement hardware for scanning probe microscopy. Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024e.
• Isztl, D., & Rosenthal, M. (2023, October 18). Ultra-low power car plate recognition at the edge. European Conference on EDGE AI Technologies and Applications – EEAI, Athens, Greece, 17-19 October 2023.
• Delafontaine, T., & Rosenthal, M. (2023, October 17). Efficient mapping of neural networks on FPGA with generated VHDL code. European Conference on EDGE AI Technologies and Applications – EEAI, Athens, Greece, 17-19 October 2023.
• Huber, P., & Rosenthal, M. (2019, November 21). FPGA – GPU Co-Design. Enclustra and Avnet Seminar: Jump-Start Your AI Based FPGA Application, November 21th 2019.
• Huber, P., & Rosenthal, M. (2019, September 3). FPGA GPU Co-Design. Embedded Computing Conference 2019, Winterthur, 3. September 2019.
• Zingg, R., & Rosenthal, M. (2019, May 14). Neuronale Netze auf Cortex-M mit keras, CMSIS-NN und X-Cube-AI. Forum Künstliche Intelligenz, Stuttgart, Deutschland, 14. Mai 2019.
• Rosenthal, M., Weiss, A., & Mazloumian, A. (2018, June 5). Realtime signal processing on embedded GPUs. Embedded Computing Conference (ECC2018), Winterthur, 5. Juni 2018.
• Gromov, A., Rosenthal, M., & Welti, T. (2018, June 5). General purpose MIPI interface. ECC Winterthur - swissT.net, Winterthur, 5. Juni 2018.
• Weiss, A., Rosenthal, M., & Mazloumian, A. (2018, March 26). Realtime signal processing on NVIDIA TX2 using CUDA. Nvidia GPU Technology Conference (GTC), San José, USA, 26-29 March 2018.
• Welti, T., & Rosenthal, M. (2017, September 5). Partitionierung von rechenintensiven Aufgaben zwischen FPGA und CPUs. Embedded Computing Conference (ECC2017), Winterthur, 5. September 2017.
• Kammacher, T., & Rosenthal, M. (2017, May 10). 4K Video Processing and Streaming Platform on TX1. GPU Technology Conference, San Jose, USA, 10. May 2017.
• Weiss, A., & Rosenthal, M. (2017, March 15). OpenCL streaming platform on FPGA. Embedded World Conference, Nuremberg, Germany, 14-16 March 2017.
• Rosenthal, M., & Mazloumian, A. (2016). General purpose processing using embedded GPUs : a study of latency and his variation. Embedded Computing Conference (ECC2016), Winterthur, 31. Mai 2016.
• Weiss, A., & Rosenthal, M. (2016, November 9). OpenCL streaming platform on FPGA. VISION: Exhibition VDMA, Stuttgart, Deutschland, 8.-10. November 2016.
• Welti, T., & Rosenthal, M. (2016, July 8). Highly interactive wireless video transfer based on WiFi. Intel SoC Developer Forum, Entwicklerforum, Frankfurt, Deutschland, 8. Juli 2016.
• Welti, T., Gelke, H.-J., & Rosenthal, M. (2015). A low-latency yet highly reliable wireless video transfer system. Embedded Computing Conference (ECC2015), Winterthur, 2. September 2015.

Publications before appointment at the ZHAW

• Compact Loudspeaker Array for enhanced stereophonic Sound Reproduction E. Corteel, M. Rosenthal in 2nd International Symposium on Ambisonics and Spherical Acoustics (2010)
• A Case Study on Sound Reproduction and Acoustic Enhancement in Concert Halls Using Wave Field Synthesis M. Casdorff, C. Kuhn-Rahloff R. Moser, M. Rosenthal in 124nd AES Convention, Nr.7466 (2008)
• Simulation und Untersuchung subjektiver Fahreindrücke mit Hilfe von Wellenfeldsynthese C. Kuhn, R. Pellegrini, M. Rosenthal, G. Seitz in DAGA (2006)
• Wave Field Synthesis: Open System Architecture using Distributed Processing R. Pellegrini, M. Rosenthal, C. Kuhn in Forum Acusticum (2005)
• Auditory Sound Scene Creation using Wave Field Synthesis E Corteel, M. Rosenthal, T. Caulkins, Warusfel O., C. Kuhn, R. Pellegrini in design sonore, IRCAM (2004)
• Wave field synthesis with synchronous distributed signal processing Matthias Rosenthal, Renato Pellegrini in IEEE 6th Workshop on Multimedia Signal Processing (2004)
• Concept and design of a reconfigurable parallel processing system for digital audio Matthias Rosenthal, Dissertation, Hartung-Gorre Verlag, 1997, ISBN-10: 389649158X
• Programming Environment for a High Performance Parallel Supercomputer with Intelligent Communication M Rosenthal, A Gunzinger, B Bäumle, M Frey, M Klebl, P Kohler in Scientific Programming, Wiley, Volume 5 Issue 1, January 1996, Pages 25-32
• Digital Audio Processing in a Scalable System Matthias Rosenthal in 102nd AES Convention, Nr.4449 (1996)
• A Freely Configurable Audio-Mixing Engine with Automatic Load Balancing Matthias Rosenthal, Marcel Klebl, Anton Gunzinger, Gerhard Tröster in 98th AES Convention, Nr.3979 (1993)

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