Power Efficiency Comparison of Event-Driven and Fixed-Rate Signal Conversion and Compression for Biomedical Applications. - Jonah Van Assche; Georges G. E. Gielen (IEEE Trans. Biomed. Circuits Syst., 2020)

Power-Efficient and Accurate Texture Sensing Using Spiking Readouts for High-Density e-Skins. - Mark Daniel Alea; Ali Safa; Jonah Van Assche; Georges G. E. Gielen (BioCAS, 2022)

EffiCSense: an Architectural Pathfinding Framework for Energy-Constrained Sensor Applications. - Jonah Van Assche; Ruben Helsen; Georges G. E. Gielen (DATE, 2022)

A 10.4-ENOB 0.92-5.38 μW Event-Driven Level-Crossing ADC with Adaptive Clocking for Time-Sparse Edge Applications. - Jonah Van Assche; Georges G. E. Gielen (ESSCIRC, 2022)

Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning. - Ali Safa; Jonah Van Assche; Mark Daniel Alea; Francky Catthoor; Georges G. E. Gielen (IEEE Micro, 2022)

From sensor to inference: end-to-end chip design for wearable and implantable biomedical applications. - Jonah Van Assche; Marco Francesco Carlino; Mark Daniel Alea; Sergio Massaioli; Georges G. E. Gielen (BioCAS, 2023)

End-to-End Optimization of High-Density e-Skin Design: From Spiking Taxel Readout to Texture Classification. - Jiaqi Wang; Mark Daniel Alea; Jonah Van Assche; Georges G. E. Gielen (DATE, 2023)

Exploring Information-Theoretic Criteria to Accelerate the Tuning of Neuromorphic Level-Crossing ADCs. - Ali Safa; Jonah Van Assche; Charlotte Frenkel; André Bourdoux; Francky Catthoor; Georges G. E. Gielen (NICE, 2023)

Analysis and Design of a 10.4-ENOB 0.92-5.38-μW Event-Driven Level-Crossing ADC With Adaptive Clocking for Time-Sparse Edge Applications. - Jonah Van Assche; Georges G. E. Gielen (IEEE J. Solid State Circuits, 2024)

Event-Driven Circuit Architectures for Scalable and Adaptive Sensor Readout - Jonah Van Assche; Georges G. E. Gielen (Springer, 2025)

A Digital Jitter Correction Technique For High-Speed ADC-Based Communication Links. - Tim Borremans; Jun Feng; Jonah Van Assche; Georges G. E. Gielen; Filip Tavernier (ISCAS, 2025)

FREYA: A 0.023-mm²/Channel, 20.8- μW/Channel, Event-Driven 8-Channel SoC for Spiking End-to-End Sensing of Time-Sparse Biosignals. - Jonah Van Assche; Charlotte Frenkel; Ali Safa; Georges G. E. Gielen (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)