20.6 Electromagnetic vibration energy harvester interface IC with conduction-angle-controlled maximum-power-point tracking and harvesting efficiencies of up to 90%. - Joachim Leicht; Mohammad Amayreh; Christian Moranz; Dominic Maurath; Thorsten Hehn; Yiannos Marioli (ISSCC, 2015)

A 200ns settling time fully integrated low power LDO regulator with comparators as transient enhancement. - Mohammad Amayreh; Joachim Leicht; Yiannos Manoli (ISCAS, 2016)

A 96.7% efficient boost converter with a stand-by current of 420 nA for energy harvesting applications. - Daniel Schillinger; Yuanda Hu; Mohammad Amayreh; Christian Moranz; Yiannos Manoli (ISCAS, 2016)

A 1.85 fA/√Hz fully integrated read-out interface for sub-pA current sensing applications. - Mohammad Amayreh; Yiannos Manoli; Matthias Keller (ESSCIRC, 2017)

Area Constrained Multi-Source Power Management for Thermoelectric Energy Harvesting. - Jacob Göppert; Simon Braun; David Pellhammer; Mohammad Amayreh; Joachim Leicht; Matthias Keller; Yiannos Manoli (ESSCIRC, 2019)

A Fully Integrated Current-Mode Continuous-Time Delta-Sigma Modulator for Biological Nanopore Read Out. - Mohammad Amayreh; Gerhard Baaken; Jan C. Behrends; Yiannos Manoli (IEEE Trans. Biomed. Circuits Syst., 2019)

Simplistic Machine Learning-Based Air-to-Ground Path Loss Modeling in an Urban Environment. - Ashraf A. Tahat; Talal A. Edwan; Hamza Al-Sawwaf; Jumana Al-Baw; Mohammad Amayreh (FMEC, 2020)

Low-Power Organic Light Sensor Array Based on Active-Matrix Common-Gate Transimpedance Amplifier on Foil for Imaging Applications. - Samar Elsaegh; Clemens Veit; Ute Zschieschang; Mohammad Amayreh; Florian Letzkus; Holger Sailer; Michael Jurisch; Joachim N. Burghartz; Uli Würfel; Hagen Klauk; Hans Zappe; Yiannos Manoli (IEEE J. Solid State Circuits, 2020)

28.7 A 0.00378mm2 Scalable Neural Recording Front-End for Fully Immersible Neural Probes Based on a Two-Step Incremental Delta-Sigma Converter with Extended Counting and Hardware Reuse. - Daniel Wendler; Daniel De Dorigo; Mohammad Amayreh; Alexander Bleitner; Maximilian Marx 002; Yiannos Manoli (ISSCC, 2021)

A 0.0046-mm2 Two-Step Incremental Delta-Sigma Analog-to-Digital Converter Neuronal Recording Front End With 120-mVpp Offset Compensation. - Daniel Wendler; Daniel De Dorigo; Mohammad Amayreh; Alexander Bleitner; Maximilian Marx 002; Roman Willaredt; Yiannos Manoli (IEEE J. Solid State Circuits, 2023)