Cognitive sensor nodes and systems
Contact: Charlotte Frenkel
Here is a non-exhaustive list of research directions that we enjoy exploring in the cognitive sensor nodes and systems (CogSys) team:
- digital and mixed-signal neuromorphic integrated circuits and machine learning accelerators,
- bio-plausible training algorithms and emerging brain-inspired computational primitives,
- hardware-algorithm co-design for low-cost on-chip learning and adaptation,
- whole-chain aspects from sensing to decision for autonomous sensorimotor agents.
This page is under construction and will be updated soon with more information on the team's daily life and key research milestones.
News
MSc students
- Mim van den Bos
- Ruopu Wu
- Wenxuan Li
- Tanvir Harris
- Jinhui Liu
- Anran (Esther) Yang
Alumni
- Lucie de Ghellinck d'Elseghem (2024)
- Francisco Ayala Le Brun (2024)
- Lyana Usa (2024)
- Jinhuang Lin (2023)
- Lorenzo Pes (2023)
- Xinhu Liu (2023)
- Douwe den Blanken (2023)
- Zhaofeng Shen (2023)
- Yufeng Yang (2023)
- Fengwei Zhan (2023)