Charlotte Frenkel

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I am a digital integrated circuit designer whose curiosity got trapped into the realms of neuromorphic engineering. I am now working on aspects ranging from circuit design techniques (both digital and mixed-signal with emerging devices) to computer architecture, learning algorithms, and neuroscience. My research objectives are (i) to demonstrate a competitive advantage for neuromorphic designs compared to conventional neural network accelerators, and (ii) to uncover a framework toward on-chip neuromorphic intelligence for adaptive edge computing. To do so, I am investigating both the bottom-up and the top-down design approaches, as well as their synergies.
I received my M.Sc. and Ph.D. degrees from UCLouvain, Belgium, and joined INI (NCS group) in February 2020.


Giacomo Indiveri





  • Enea Ceolini, Charlotte Frenkel, Sumit Bam Shrestha, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing, Frontiers in Neuroscience, 2020 pdf
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