-Event-Based ADCs and Systems
-Readout Circuits for Quantum Applications
-Machine Learning for Analog Circuit Design
Jonah Van Assche received the M.Sc. degrees in nanotechnology from Katholieke Universiteit Leuven (KU Leuven), Leuven, Belgium and from Kungliga Tekniska högskolan Stockholm (KTH Stockholm), Stockholm, Sweden, in 2018. He finished his PhD degree in electrical engineering at the MICAS research group at KU Leuven, under the supervision of Prof. Georges Gielen, in 2024. His thesis topic was "Event-Driven Circuit Architectures for Scalable and Adaptive Sensor Interfaces".
After his PhD, he joined the University of Stuttgart as a postdoc (2024-2026), where he worked on readout circuits for quantum applications such as spin qubits and NV-defect magnetometers.
His current research interests include machine learning-enabled design of analog and mixed-signal circuits.
2024 – Third Place, Falling Walls Lab
2023 – First Place, Analog Devices Student Design Contest
2023 – Second Place, Best Paper Award — Neuro Inspired Computational Elements Conference (NICE)
2018-2022 P&O EAGLE
2022-2023/ 2026 Analog and Mixed-Signal Integrated Circuits for Signal Processing
