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ASYNC-IC Lab
DTU Asynchronous Integrated Circuit Laboratory
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Assistant Professor at the Technical University of Denmark in the field of asynchronous Integrated Circuit (IC) design. His research focuses on bringing asynchronous IC design into practical applications — smart sensors and closed-loop robotics. He particularly investigates efficient and low-power bio-inspired neurosynaptic AI processor pipelines, pushing the boundary of efficiency with unconventional architectures.
He holds a Bachelor's degree in Cognitive Computer Science from Bielefeld University (DE), a Master's degree in Neural Systems and Computation from UZH and ETH Zürich (CH), and a PhD from the University of Groningen (NL) with a focus on Bio-inspired Circuits and Systems. He has two years of industrial experience at an edge-AI processor start-up (aiCTX AG, now SynSense AG, CH) in asynchronous and mixed-signal IC design, and is a recurring Research Affiliate / Visiting Fellow at Yale University (US) in the Asynchronous VLSI and Architecture Group.
Asger Wenneberg (MSc electrical engeneering)
Jacob Dehlsen (MSc electrical engeneering)
Luis Zuñiga (MSc Computer Science and Engineering)
Dovydas Liutkus (MSc Computer Science and Engineering)
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Clara Bjerrum - MSc 2026 - Design of an Asynchronous Pipelined Field Programmable Gate Array Ajani-Lamar Levi Eichel-Cooke - BSc 2026 - Development of measurment automation and measurments of a mixed-signal neuromorphic system Martin Mejer - BSc 2026 - Spiking Neuronal Network on a Chip