Teaching
In the spring term 2024, we are teaching the following courses:
- Mobile Health and Activity Monitoring (master's) course
- Advanced Topics in Mixed Reality (bachelor's) seminar
Available projects for ETH students
Our projects stretch across the areas of Computer Science (INFK) Electrical Engineering (ITET) Mechanical Engineering (MAVT) Health Sciences (HEST) Robotics, Systems and Control (RSC).
Please apply through SiROP with your documents. If you have any questions, please contact the listed team member(s) directly. For all general inquiries about bachelor's and master's theses, please email Max Moebus. Email addresses are firstname.lastname@inf.ethz.ch.
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More convenient two-factor authentication at ETHZ
Note: Prior experience developing in Javascript is strongly encouraged. Having developed Chrome extensions before is helpful but not mandatory.
- contact: Christian Holz
- Semester Project
- Bachelor Thesis
- Chrome extension
- Javascript
- MediaDevices
- Open Source
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Optical sensor development for heart-rate sensing
Note: Candidates should have experience in hardware design (analog circuits, embedded systems, and basic signal processing).
- contact: Manuel Meier
- Semester Project
- Bachelor Thesis
- Master Thesis
- Hardware Design
- PCB Design
- Embedded Systems
- Sensors
- Signal Processing
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Cross-domain activity recognition for real-world data
Note: No specific experience with activity recognition or time-series data is required but candidates should be familiar with deep learning libraries (such as PyTorch or TensorFlow) for supervised learning.
- contact: Max Möbus
- Master Thesis
- activity recognition
- wearable sensors
- domain generalization
- self-supervised learning
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Inferring typed text on any surface using a smartwatch
Note: Candidates should have experience with deep learning libraries (such as PyTorch or TensorFlow). Ideally, candidates should also have experience with app development using Swift or similar frameworks.
- contact: Paul Streli
- Semester Project
- Bachelor Thesis
- inertial sensing
- machine learning
- human-computer interaction
- Bayesian inference
- text entry
- deep learning
Current thesis students
- Ying Xue (ETH Computer Science M.Sc., D-INFK)
- Lars Hauptmann (ETH Electrical Engineering M.Sc., D-ITET)
- Filippo Tognina (ETH Computer Science B.Sc., D-INFK)
- Sivalingam Tharmeekan (ETH Computer Science B.Sc., D-INFK)
- Tim Eilers (ETH Computer Science B.Sc., D-INFK)
Past master's thesis students
- Yao Song (UZH Computer Science M.Sc.)
- Xuejing Luo (ETH Robotics M.Sc., D-MAVT, RSC)
- He Liu (UZH Data Science M.Sc., UZH OEC)
- Xintong Liu (ETH Robotics M.Sc., D-MAVT, RSC)
- Sebastian Reidy (ETH Electrical Engineering M.Sc., D-ITET)
- Ailin Liu (RWTH, Data Science, M.Sc.)
- Adriana Mohap (UZH, Data Science, M.Sc.)
- Andreas Brombach (ETH Computer Science M.Sc., D-INFK)
- Rayan Armani (ETH Robotics M.Sc., D-MAVT, RSC)
- Thomas Roberts (ETH Computer Science M.Sc. / Imperial College London) ➤ led to ACM CHI 2023 publication InfinitePaint.
- Guy Luethi (ETH Computer Science M.Sc., D-INFK) ➤ led to ACM UIST 2022 publication DeltaPen. next: Embedded software engineer at CyOne Security AG.
- Huajian Qiu (EPFL Computational Science M.Sc.) ➤ led to ECCV 2022 publication AvatarPoser. next: Software engineer at Huawei.
- Stephanie Vogt (ETH Robotics M.Sc., D-MAVT, RSC) ➤ led to IEEE ICRA 2024 publication MiBOT. next: Development engineer at Helbling Technik AG, Zürich.
- Daniel Gstoehl (ETH Computer Science M.Sc., D-INFK). next: Engineer at Passiv Energie Japan.
- Marilou Beyeler (ETH Computer Science M.Sc., D-INFK) ➤ led to ACM ICMI 2023 publication Cross-Device Shortcuts. next: Associate consultant at Netlight.
- Philippe Andreu (ETH Computer Science M.Sc., D-INFK). next: Machine learning software engineer at Meta, Munich.
- Christian Knieling (ETH Computer Science M.Sc., D-INFK). next: Software Engineer at ESRI R&D Zürich.
- Nikola Kovacevic (ETH Computer Science M.Sc., D-INFK) ➤ led to IEEE Transactions on Affective Computing 2023 publication Personality Trait Recognition in the Wild. next: PhD student at the Computer Graphics Lab, ETH CS.
- Danil Ivanov (ETH Computer Science M.Sc., D-INFK). next: Full stack developer at Felfel Zürich.
- Alice Mylaeus (ETH Robotics M.Sc., D-MAVT, RSC) ➤ led to IEEE ICRA 2024 publication MiBOT. next: APM at Google Zürich.
- Manuel Meier (ETH Electrical Engineering M.Sc., D-ITET) ➤ led to IEEE VR 2021 publication TapID. next: PhD student with us.
Past undergrads and project students
- Nicolas Steck
- Lukas Teufelberger
- Shao Zhou
- Timo Suess
- Minxuan Qin
- Andela Ilic
- Philipp Trachsel
- Armin Berger
- Orestis Oikonomou
- Nicolas Kopp
- Hyeongkyun Kim
- Alexander Zank
- Filip Stanisic
- Yves Inglin
- Yiming Zhao
- Oskar Pilkington
- Jaro Meyer
- Siqi Bao
- He Liu
- Shubham Kumar
- Danilo Dordevic
- Vukasin Bozic
- Samuel Räber
- Julien Wolfensberger
- Lara Lenz ➤ led to IEEE Transactions on Visualization and Computer Graphics 2024 publication Synchronous vs. Asynchronous Reality.
- Derek Witzig ➤ led to ACM UIST 2023 publication PressurePick.
- Marc Zünd
- Janosch Jungo
- Eren Oner
- Seraina Saurenmann
- Bowen Wang
- Robin Hänni
- Stefano Kron
- Robin Rudin
- Rachel Schuchert
- Fabio Bazzi
- Jens Brunner
- Alexander Eichhorn
- Valentin Bieri ➤ led to Uncertainty in Artificial Intelligence (UAI) 2023 publication BeliefPPG.
- Simon Boehi
- Michael Thomas Schlegel
- Catherine Schmit
- Christoph Salzer
- Cyrill Künzi
- Emanuel Pytlik
- Francois Pailleau
- Joshua Steiner
- Thomas Fischer
- Christian Rubin
- Rayan Armani
- Jannik Gartmann
- Jonathan Lampérth ➤ led to led to open source release SVG2Keynote.
- Markus Pobitzer
- Boris Bernegger
- Fabian Mächler
- Yves Kempter
- Janik Baumer
- Guillaume Thivolet
- Lukas Walker
- Tom Cinbis
- Nicole Wenzinger
- Chris Buob
- Clemens Bachmann
Past Courses and Seminars
- Mixed Reality (fall 2023) master's course
- Human Computer Interaction (fall 2023) bachelor's course
- Mobile Health and Activity Monitoring (spring 2023) master's course
- Advanced Topics in Mixed Reality (spring 2023) bachelor's seminar
- Human-Computer Interaction (fall 2022, co-taught with Otmar Hilliges) bachelor's course
- Mobile Health and Activity Monitoring (spring 2022) master's course
- Advanced Topics in Mixed Reality (spring 2022) bachelor's seminar
- Human-Computer Interaction (fall 2021, co-taught with Otmar Hilliges) bachelor's course
- Ubiquitous Computing (spring 2021) master's course
- Advanced Topics in Technical Human-Computer Interaction and Computational Interaction (spring 2021) bachelor's seminar
- Human-Computer Interaction (fall 2020, co-taught with Otmar Hilliges) bachelor's course
- CAS ETH: Applied Information Technology, Humans & Machines (fall 2020) CAS CAS
- Ubiquitous Computing (spring 2020) master's course
- Advanced Topics in Technical Human-Computer Interaction (spring 2020) bachelor's seminar
- Human-Computer Interaction (fall 2019, co-taught with Otmar Hilliges) bachelor's course
- CAS ETH: Applied Information Technology, Humans & Machines (fall 2019) CAS CAS