Prof. Dr. Matthias Rosenthal

Arbeit an der ZHAW

Tätigkeit

• Schwerpunktleitung Realtime Platforms
• Professor für Multiprozessor und Realtime Systeme (IEM-InES)

Arbeits- und Forschungsschwerpunkte

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

Lehrtätigkeit

Lehre in Digitaltechnik, Realtime Embedded Computing und Informationstheorie

Lehrtätigkeit in der Weiterbildung

• CAS Digitale Technologien und Innovation
• WBK Embedded Linux: Vom Kernel bis zu Realtime-Systemen

Berufserfahrung

• Professor und Schwerpunktleiter
  ZHAW
  07 / 2018 - heute
• Experte bei Innosuisse
  Innosuisse
  05 / 2018 - 12 / 2025
• Dozent und Schwerpunktleiter
  ZHAW
  05 / 2014 - 06 / 2018
• Mitgründer und Leiter Forschung und Entwicklung
  sonic emotion AG
  10 / 2002 - 04 / 2014
• Projektleiter Video Traffic&Scheduling
  Nagravision, Kudelski S
  07 / 1999 - 02 / 2001
• System Architekt
  Studer Professional Audio (Harman International)
  10 / 1996 - 06 / 1999

Aus- und Weiterbildung

Ausbildung

• Dr. sc. techn. / Elektrotechnik
  ETH Zürich
  04 / 1993 - 03 / 1997
• Dipl. El. Ing. / Elektrotechnik
  ETH Zürich
  10 / 1987 - 03 / 1993

Weiterbildung

CAS Hochschuldidaktik
ZHAW
03 / 2015

Netzwerk

Auszeichnungen

CTI Startup Label mit sonic emotion AG
CTI/Innosuisse
09 / 2005

Social Media

Linkedin

Projekte

• Adaptive Dimensionality-Reduced Encryption Protocol for Time-Series Sensors / Projektleiter:in / laufend
• SmartSpace: Datenschutzkonformer KI-Sensor zur Belegungsmessung und nachhaltigen Raumplanung / Projektleiter:in / laufend
• Multi-dof material analysis nano-testing device at ultra high acquisition / Projektleiter:in / laufend
• dAIrector – Automatisierte Mehrkamera-Liveproduktion für Veranstaltungen / Stellv. Projektleiter:in / laufend
• Novel AFM Techniques for Autonomous Quality Control in Industrial Manufacturing / Projektleiter:in / laufend
• Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI / Projektleiter:in / laufend
• In-Flight GNSS Interference Detection / Projektleiter:in / abgeschlossen
• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Stellv. Projektleiter:in / abgeschlossen
• Scalable AV Platform for Edge AI Computing / Co-Projektleiter:in / abgeschlossen
• Pilot study machine learning for injection molding processes / Teammitglied / abgeschlossen
• Density measurement device / Projektleiter:in / abgeschlossen
• High speed communication link for atomic force microscope instrumentation / Projektleiter:in / abgeschlossen
• AFM with PORT: Atomic force microscope with photothermal off-resonance tapping / Projektleiter:in / abgeschlossen
• Visual Food Waste Analysis for Sustainable Kitchens / Projektleiter:in / abgeschlossen
• Kollisionsprävention für Laserschneidemaschine / Projektleiter:in / abgeschlossen
• Neue Hochleistungs-Plattform für digitale dynamische Signalverarbeitung / Projektleiter:in / abgeschlossen
• Audio Processing in OpenCL / Projektleiter:in / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Asmari, N. et al. (2025) ‘Data-driven control in atomic force microscopy using a genetic algorithm’, Ultramicroscopy, 275(114156). doi: 10.1016/j.ultramic.2025.114156.
• Yan, P. et al. (2024) ‘A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions’, IEEE Access, 12, pp. 3768–3789. doi: 10.1109/ACCESS.2023.3349132.

Schriftliche Konferenzbeiträge, peer-reviewed

• Isztl, D. and Rosenthal, M. (2025) ‘Multimodal autoregressive U-Net transformer architecture for pixelwise image and text conditioning (MUT)’, in 2025 IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 166–169. doi: 10.1109/sds66131.2025.00032.
• Yan, P. et al. (2025) ‘Learning actionable world models for industrial process control’, in 2025 IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 111–118. doi: 10.1109/SDS66131.2025.00022.
• Delafontaine, T. and Rosenthal, M. (2024) ‘Efficient mapping of neural networks on FPGA with generated HDL code’, in Proceedings of the 2024 Embedded World Conference. WEKA, pp. 518–521. doi: 10.21256/zhaw-32431.
• Wegmann, M. and Rosenthal, M. (2022) ‘Real time motion tracking for augmented reality with TOF camera and vulkan rendering’, in Sikora, A. (ed.) Proceedings of Embedded World Conference 2022. WEKA, pp. 661–665. doi: 10.21256/zhaw-26948.
• Zingg, R. et al. (2021) ‘Smart food waste management : embedded machine learning vs cloud based solutions’, in Mugellini, E. and Carpanzano, E. (eds) Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions. CEUR Workshop Proceedings. doi: 10.21256/zhaw-23847.
• Simmler, N. et al. (2021) ‘A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications’, in Proceedings of the 8th SDS. IEEE, pp. 26–31. doi: 10.1109/SDS51136.2021.00012.
• Delafontaine, T. and Rosenthal, M. (2021) ‘Secure boot concept on the Zynq Ultrascale+ MPSoC’, in Embedded World Conference 2021, online, 1.-5. März 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-23966.
• Huber, P. and Rosenthal, M. (2020) ‘Direct data exchange between FPGAs and GPUs using GPUDirect’, in Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.
• Zingg, R. and Rosenthal, M. (2020) ‘Artificial intelligence on microcontrollers’, in Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.
• Welti, T. and Rosenthal, M. (2018) ‘Partitioning of computationally intensive tasks between FPGA and CPUs’, in Embedded World Conference, Nuremberg, Germany, 27 February - 1 March 2018. Haar: WEKA. doi: 10.21256/zhaw-3523.
• Gelke, H.-J. et al. (2016) ‘Using mobile processors for general purpose industrial signal processing’, in Embedded World Conference, Nuremberg, Germany, 23-25 February 2016.
• Kammacher, T., Frei, M. and Rosenthal, M. (2016) ‘4K HEVC video processing with GPU optimization on Jetson TX1’, in GPU Technology Conference Europe, Amsterdam, Netherlands, 28. September 2016. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-3693.
• Welti, T. and Rosenthal, M. (2016) ‘Ultra low latency wireless video streaming system for medical endoscopes’, in CTI Micro-Nano Event, Basel, 30. Juni 2016. Basel: CTI.
• Welti, T. and Rosenthal, M. (2016) ‘A low-latency yet highly reliable wireless video transfer system’, in Electronic Displays Conference, Nürnberg, Deutschland, 24.-25. Februar 2016. Nürnberg: WEKA.

Weitere Publikationen

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

Mündliche Konferenzbeiträge und Abstracts

• Senekowitsch, R. L. and Rosenthal, M. (2024) ‘Platform-independent FPGA AI mapping tool based on FINN’, in European Conference on EDGE AI Technologies and Applications (EEAI), Cagliari, Italy, 21-23 October 2024.
• Rosenthal, M. (2024) ‘OMAHA : open measurement hardware for scanning probe microscopy’, in Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024e.
• Isztl, D. and Rosenthal, M. (2023) ‘Ultra-low power car plate recognition at the edge’, in European Conference on EDGE AI Technologies and Applications – EEAI, Athens, Greece, 17-19 October 2023.
• Delafontaine, T. and Rosenthal, M. (2023) ‘Efficient mapping of neural networks on FPGA with generated VHDL code’, in European Conference on EDGE AI Technologies and Applications – EEAI, Athens, Greece, 17-19 October 2023.
• Huber, P. and Rosenthal, M. (2019) ‘FPGA – GPU Co-Design’, in Enclustra and Avnet seminar: Jump-start your AI based FPGA application, November 21th 2019.
• Huber, P. and Rosenthal, M. (2019) ‘FPGA GPU Co-Design’, in Embedded Computing Conference 2019, Winterthur, 3. September 2019.
• Zingg, R. and Rosenthal, M. (2019) ‘Neuronale Netze auf Cortex-M mit keras, CMSIS-NN und X-Cube-AI’, in Forum Künstliche Intelligenz, Stuttgart, Deutschland, 14. Mai 2019.
• Gromov, A., Rosenthal, M. and Welti, T. (2018) ‘General purpose MIPI interface’, in ECC Winterthur - swissT.net, Winterthur, 5. Juni 2018.
• Rosenthal, M., Weiss, A. and Mazloumian, A. (2018) ‘Realtime signal processing on embedded GPUs’, in Embedded Computing Conference (ECC2018), Winterthur, 5. Juni 2018.
• Weiss, A., Rosenthal, M. and Mazloumian, A. (2018) ‘Realtime signal processing on NVIDIA TX2 using CUDA’, in Nvidia GPU Technology Conference (GTC), San José, USA, 26-29 March 2018.
• Welti, T. and Rosenthal, M. (2017) ‘Partitionierung von rechenintensiven Aufgaben zwischen FPGA und CPUs’, in Embedded Computing Conference (ECC2017), Winterthur, 5. September 2017.
• Kammacher, T. and Rosenthal, M. (2017) ‘4K Video Processing and Streaming Platform on TX1’, in GPU Technology Conference, San Jose, USA, 10. May 2017.
• Weiss, A. and Rosenthal, M. (2017) ‘OpenCL streaming platform on FPGA’, in Embedded World Conference, Nuremberg, Germany, 14-16 March 2017.
• Rosenthal, M. and Mazloumian, A. (2016) ‘General purpose processing using embedded GPUs : a study of latency and his variation’, in Embedded Computing Conference (ECC2016), Winterthur, 31. Mai 2016.
• Weiss, A. and Rosenthal, M. (2016) ‘OpenCL streaming platform on FPGA’, in VISION: Exhibition VDMA, Stuttgart, Deutschland, 8.-10. November 2016.
• Welti, T. and Rosenthal, M. (2016) ‘Highly interactive wireless video transfer based on WiFi’, in Intel SoC Developer Forum, Entwicklerforum, Frankfurt, Deutschland, 8. Juli 2016.
• Welti, T., Gelke, H.-J. and Rosenthal, M. (2015) ‘A low-latency yet highly reliable wireless video transfer system’, in Embedded Computing Conference (ECC2015), Winterthur, 2. September 2015.

Publikationen vor Tätigkeit an der 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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