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Charlotte Frenkel received her M.Sc. degree (summa cum laude) in Electromechanical Engineering and her Ph.D. degree in Engineering Science from Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium, in 2015 and 2020, respectively. In February 2020, she joined the Institute of Neuroinformatics at the University of Zurich and ETH Zurich, Switzerland, as a postdoctoral researcher. In July 2022, she started as an Assistant Professor in the Electronic Instrumentation group at Delft University of Technology. Her current research focuses on bridging bottom-up (bio-inspired) and top-down (engineering-driven) design approaches for neuromorphic intelligence, specifically in the areas of digital mixed-signal spiking neural network processor design, embedded machine learning, and on-chip training algorithms. Direct applications of her research include adaptive Internet of Things (IoT) devices and autonomous robotic agents. Throughout her academic career, Dr. Frenkel has received several awards, including the IEEE International Symposium on Circuits and Systems (ISCAS) 2020 paper award, the Nokia Bell Labs Scientific Award 2021, and the IBM Innovation Award 2021. In 2023, she was honored with the prestigious AiNed Fellowship Veni grant from the Dutch Research Council (NWO).
Delft University of Technology • Delft, Netherlands
Started as an Assistant Professor in the Electronic Instrumentation group.
Institute of Neuroinformatics, University of Zurich and ETH Zurich • Zurich, Switzerland
Conducted research in neuromorphic intelligence.
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