PhD theses from Sensors Group

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.