Tobias Welti
Tobias Welti
ZHAW
School of Engineering
Forschungsschwerpunkt System on Chip Design
Technikumstrasse 20/22
8400 Winterthur
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 / Project ongoing
- Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments / Project leader / Project completed
- High speed communication link for atomic force microscope instrumentation / Team member / Project completed
- AFM with PORT: Atomic force microscope with photothermal off-resonance tapping / Deputy project leader / Project completed
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.