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

Berufserfahrung

• Professor und Schwerpunktleiter
  ZHAW
  07 / 2018 - heute
• Experte bei Innosuisse
  Innosuisse
  05 / 2018 - heute
• 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

• 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
• SAVEDGE: Scalable AV Platform for Edge AI Computing / Co-Projektleiter:in / laufend
• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Stellv. 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
• FWA: 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

• Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions.

  IEEE Access.

  12, S. 3768-3789.

  Verfügbar unter: https://doi.org/10.1109/ACCESS.2023.3349132

• Wegmann, Marcel; Rosenthal, Matthias,

  2022.

  Real time motion tracking for augmented reality with TOF camera and vulkan rendering [Paper].

  In:

  Sikora, Axel, Hrsg.,

  Proceedings of Embedded World Conference 2022.

  Embedded World Conference, Nuremberg, Germany, 21-23 June 2022.

  WEKA.

  S. 661-665.

  Verfügbar unter: https://doi.org/10.21256/zhaw-26948

• Zingg, Raphael; Andermatt, Philipp; Mazloumian, Amin; Rosenthal, Matthias,

  2021.

  Smart food waste management : embedded machine learning vs cloud based solutions [Paper].

  In:

  Mugellini, Elena; Carpanzano, Emanuele, Hrsg.,

  Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions.

  FTAL Conference 2021 – Sustainable smart cities and regions, Lugano, Switzerland, 28-29 October 2021.

  CEUR Workshop Proceedings.

  Verfügbar unter: https://doi.org/10.21256/zhaw-23847

• Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,

  2021.

  A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications [Paper].

  In:

  Proceedings of the 8th SDS.

  8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

  IEEE.

  S. 26-31.

  Verfügbar unter: https://doi.org/10.1109/SDS51136.2021.00012

• Huber, Philipp; Rosenthal, Matthias,

  2020.

  Direct data exchange between FPGAs and GPUs using GPUDirect [Paper].

  In:

  Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.

• Zingg, Raphael; Rosenthal, Matthias,

  2020.

  Artificial intelligence on microcontrollers [Paper].

  In:

  Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.

• Welti, Tobias; Rosenthal, Matthias,

  2018.

  Partitioning of computationally intensive tasks between FPGA and CPUs [Paper].

  In:

  Embedded World Conference, Nuremberg, Germany, 27 February - 1 March 2018.

  Haar:

  WEKA.

  Verfügbar unter: https://doi.org/10.21256/zhaw-3523

• Welti, Tobias; Rosenthal, Matthias,

  2016.

  Ultra low latency wireless video streaming system for medical endoscopes [Poster].

  In:

  CTI Micro-Nano Event, Basel, 30. Juni 2016.

  Basel:

  CTI.

• Welti, Tobias; Rosenthal, Matthias,

  2016.

  A low-latency yet highly reliable wireless video transfer system [Poster].

  In:

  Electronic Displays Conference, Nürnberg, Deutschland, 24.-25. Februar 2016.

  Nürnberg:

  WEKA.

• Kammacher, Tobias; Frei, Matthias; Rosenthal, Matthias,

  2016.

  4K HEVC video processing with GPU optimization on Jetson TX1 [Poster].

  In:

  GPU Technology Conference Europe, Amsterdam, Netherlands, 28. September 2016.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-3693

• Gelke, Hans-Joachim; Rosenthal, Matthias; Kammacher, Tobias; Mazloumian, Amin,

  2016.

  Using mobile processors for general purpose industrial signal processing [Paper].

  In:

  Embedded World Conference, Nuremberg, Germany, 23-25 February 2016.

• Huber, Philipp; Rosenthal, Matthias,

  2020.

  Echtzeit-Datenaustausch zwischen FPGA und GPU.

  Aktuelle Technik.

  2020(2), S. 32-33.

• Mazloumian, Amin; Rosenthal, Matthias,

  2016.

  A Wi-Fi direct system architecture for proximity-based applications [Paper].

  In:

  Proceedings.

  Embedded World Conference, Nuremberg, Germany, 23-25 February 2016.

• Isztl, Dávid; Rosenthal, Matthias,

  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, Thierry; Rosenthal, Matthias; et al.,

  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, Philipp; Rosenthal, Matthias,

  2019.

  FPGA – GPU Co-Design.

  In:

  Enclustra and Avnet seminar: Jump-start your AI based FPGA application, November 21th 2019.

• Huber, Philipp; Rosenthal, Matthias,

  2019.

  FPGA GPU Co-Design.

  In:

  Embedded Computing Conference 2019, Winterthur, 3. September 2019.

• Zingg, Raphael; Rosenthal, Matthias,

  2019.

  Neuronale Netze auf Cortex-M mit keras, CMSIS-NN und X-Cube-AI.

  In:

  Forum Künstliche Intelligenz, Stuttgart, Deutschland, 14. Mai 2019.

• Gromov, Alexey; Rosenthal, Matthias; Welti, Tobias,

  2018.

  General purpose MIPI interface.

  In:

  ECC Winterthur - swissT.net, Winterthur, 5. Juni 2018.

• Rosenthal, Matthias; Weiss, Armin; Mazloumian, Amin,

  2018.

  Realtime signal processing on embedded GPUs.

  In:

  Embedded Computing Conference (ECC2018), Winterthur, 5. Juni 2018.

• Weiss, Armin; Rosenthal, Matthias; Mazloumian, Amin,

  2018.

  Realtime signal processing on NVIDIA TX2 using CUDA.

  In:

  Nvidia GPU Technology Conference (GTC), San José, USA, 26-29 March 2018.

• Welti, Tobias; Rosenthal, Matthias,

  2017.

  Partitionierung von rechenintensiven Aufgaben zwischen FPGA und CPUs.

  In:

  Embedded Computing Conference (ECC2017), Winterthur, 5. September 2017.

• Kammacher, Tobias; Rosenthal, Matthias,

  2017.

  4K Video Processing and Streaming Platform on TX1.

  In:

  GPU Technology Conference, San Jose, USA, 10. May 2017.

• Weiss, Armin; Rosenthal, Matthias,

  2017.

  OpenCL streaming platform on FPGA.

  In:

  Embedded World Conference, Nuremberg, Germany, 14-16 March 2017.

• Weiss, Armin; Rosenthal, Matthias,

  2016.

  OpenCL streaming platform on FPGA.

  In:

  VISION: Exhibition VDMA, Stuttgart, Deutschland, 8.-10. November 2016.

• Welti, Tobias; Rosenthal, Matthias,

  2016.

  Highly interactive wireless video transfer based on WiFi.

  In:

  Intel SoC Developer Forum, Entwicklerforum, Frankfurt, Deutschland, 8. Juli 2016.

• Rosenthal, Matthias; Mazloumian, Amin,

  2016.

  General purpose processing using embedded GPUs : a study of latency and his variation.

  In:

  Embedded Computing Conference (ECC2016), Winterthur, 31. Mai 2016.

• Welti, Tobias; Gelke, Hans-Joachim; Rosenthal, Matthias,

  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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