Profile

Charlotte Frenkel received the M.Sc. degree (summa cum laude) in electromechanical engineering and the Ph.D. degree in electrical engineering from Université catholique de Louvain, Belgium, in 2015 and 2020, respectively. During her PhD, she investigated the combination of bottom-up and top-down approaches to the design of low-power high-density neuromorphic circuits as efficient non-von-Neumann architectures for real-time recognition and online learning. In February 2020, she joined the Institute of Neuroinformatics, UZH and ETH Zurich, Switzerland, as a postdoctoral researcher.

Her current research focuses on the co-design of plasticity algorithms with mixed-signal analog-digital hardware toward neuromorphic intelligence.

Ms. Frenkel serves as a TPC member for the IEEE MCSoC and APCCAS conferences, as an associate editor for the Frontiers in Neuromorphic Engineering journal, and is a reviewer for various IEEE conferences and journals, such as IEEE Trans. on Circuits and Systems I, Trans. on Biomedical Circuits and Systems and Trans. on VLSI Systems. She gave an invited talk at the Capo Caccia Cognitive Neuromorphic Engineering Workshop 2019 and is a keynote speaker for the Neuro-Inspired Computational Elements (NICE) Workshop 2020.