PhD theses from Sensors Group

Marcin Paluch, "Hardware Acccelerated Neural Networks for Robotic Control", PhD, ETH Zurich, 2026. YouTube.

B. McReynolds, "Benchmarking and Pushing the Boundaries of Event Camera Performance for Space and Sky Observations," PhD, ETH Zurich, 2024. YouTube.

J. Ott, "Bio-Inspired Continual Learning and Transfer Learning on Temporal Sequences," PhD, ETH Zurich, 2023.

R. P. Graca, "A Scientific Event Camera: Theory, Design, and Measurements," (not yet public, sorry...) PhD, ETH Zurich, 2024. YouTube.

X. Chen, "Energy-Efficient Recurrent and Fully-Connected Neural Network Training with Bio-Inspired Temporal Sparsity," PhD, University of Zurich, 2024

S. Wang, “Towards Real-Time Predictive Health Monitoring from Sweat Wearables,” PhD, University of Zurich, 2023.  

Y. Hu, “Data-Efficient Deep Neural Network Training Methods for Event-Based Vision,” PhD, University of Zurich, 2022. 

 C. Gao, “Energy-Efficient Recurrent Neural Network Accelerators for Real-Time Inference,” University of Zurich, 2022. doi: 10.5167/uzh-219686.
UZH PhD thesis distinction award.

S. Kertsjens, “The Tree-D Brain: The Connectome’s Strategy for Developmental Self-Construction,” PhD, ETH Zurich, 2022. doi: 10.3929/ethz-b-000592218. 

E. Calabrese, “Neuromorphic Solutions towards More Efficient Computer Vision,” PhD, University of Zurich, 2021. 

I. Kiselev, “Hardware systems for low-latency audio processing: Event-based and multichannel synchronous sampling approaches,” PhD, ETH Zurich, 2021. doi: 10.3929/ethz-b-000502086.

A. Aimar, “Energy-Efficient Convolutional Neural Network Accelerators for Edge Intelligence,” PhD, University of Zurich, 2021. 

 B. Rückauer, “Event-Based Vision Processing in Deep Neural Networks,” University of Zurich, 2020. doi: 10.5167/uzh-200987. 

G. Taverni, “Applications of Silicon Retinas: from Neuroscience to Computer Vision,” PhD, University of Zurich, 2020.

E. Ceolini, “Multi-Microphone Speech Processing in the Wild: Combining Signal Processing, Machine Learning and Event-Based Approaches,” University of Zurich, 2020.
UZH PhD thesis distinction award. 

A. E. G. Huber, “Irregular Sampling of Bandlimited Functions: Reconstruction and Filtering,” PhD, ETH Zurich, 2019. 

S. Braun, “Parameter uncertainty and multi-sensor attention models for end-to-end speech recognition,” PhD, ETH Zurich, 2019. doi: 10.3929/ethz-b-000393230. 

C.-H. Chien, “Event-Based CMOS Circuits for a Class of Belief-Propagation Models,” ETH Zurich, 2018.  

C. Li, “Two-Stream Vision Sensors,” PhD, ETH Zurich, Dept. of Electrical and Information Engineering (D-ITET), Zurich, Switzerland, 2017. doi: 10.3929/ethz-b-000164862. 

D. P. Moeys, “Analog and digital implementations of retinal processing for robot navigation systems,” PhD, ETH Zurich, Dept. of Electrical and Information Engineering (D-ITET), Zurich, Switzerland, 2017.  

D. Neil, “Deep Neural Networks and Hardware Systems for Event-driven Data,” ETH Zurich, 2017.
ETH Medal distinction award.

 S. Bhargava, “Vocal source separation using spectrograms and spikes, applied to speech and birdsong,” PhD, ETH Zurich, 2017. doi: 10.3929/ethz-b-000175085.

M. Yang, “Silicon retina and cochlea with asynchronous delta modulator for spike encoding,” ETH Zurich, 2015.  

C. P. Brändli, “Event-based machine vision,” ETH Zurich, 2015. doi: 10.3929/ETHZ-A-010402138.

R. Moeckel, “Bio-inspired optical flow vision sensors for visual guidance of autonomous robots,” ETH Zurich, Zurich, Switzerland, 2012. doi: 10.3929/ethz-a-009779616.  

R. Berner, “Building Blocks for Event-Based Sensors,” PhD, ETH Zurich, Zurich, Switzerland, 2011.

Y. Wang, “The processing of temporal spike patterns by active dendrites and oscillatory neural networks,” PhD, ETH Zurich, 2010. doi: 10.3929/ethz-a-006021878. 

M. Oster, “Spike-based winner-take-all computation in a multi-chip vision system,” PhD, ETH Zurich, 2006. doi: 10.3929/ETHZ-A-005275443. 

P. Lichtsteiner, “An AER temporal contrast vision sensor,” PhD, ETH Zurich, Dept of Physics, 2006.