Tobias Welti

Work at ZHAW

Position

• Senior Lecturer for System on Chip Design and Computer Engineering
• Head of Research/Focus Area System on Chip – Embedded AI and Edge Processing
• Deputy Programme Director, Electrical Engineering

Teaching

• System on Chip Design
• Computer Engineering
• Information and Codes
• Embedded Software Engineering

Education and Continuing education

Education

• CAS / Didactics of higher education
  PHZH Pädagogische Hochschule Zürich
  09 / 2019 - 06 / 2020
• BSc / Computer Science UAS Zurich
  Zurich University of Applied Sciences
  09 / 2010 - 03 / 2015
• MSc / Chemistry
  Federal Institute of Technology Zurich
  09 / 1998 - 07 / 2003

Projects

• EdgeAI-Trust EU Project / Project leader / laufend
• Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments / Project leader / abgeschlossen
• High speed communication link for atomic force microscope instrumentation / Team member / abgeschlossen
• AFM with PORT: Atomic force microscope with photothermal off-resonance tapping / Deputy project leader / abgeschlossen

Publications

• Welti, Tobias; Moser, Aaron; Gelke, Hans-Joachim,

  2020.

  Framework to port neural networks to FPGA, suitable for realtime signal processing [paper].

  In:

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

  WEKA.

• 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.

  Available from: 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.

• Isztl, Dávid; Welti, Tobias,

  2023.

  MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator [poster].

  In:

  Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-27040

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

  2018.

  General purpose MIPI interface.

  In:

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

• Welti, Tobias; Rosenthal, Matthias,

  2017.

  Partitionierung von rechenintensiven Aufgaben zwischen FPGA und CPUs.

  In:

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

• Welti, Tobias; Rosenthal, Matthias,

  2016.

  Highly interactive wireless video transfer based on WiFi.

  In:

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

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