+49 711 685 60831
+49 711 685 67222
Design of low-noise voltage readout circuits for GMR and TMR sensors
Design of high-resolution Incremental Sigma Delta ADCs for sensor applications
- A. Mohamed and J. Anders, “Stability Analysis of Incremental ΣΔ Modulators using Mixed-Logic Dynamical Systems and Optimal Control Theory,” in 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, doi: 10.1109/ISCAS45731.2020.9180952.
- A. Mohamed, M. Schmid, A. Tanwear, H. Heidari, and J. Anders, “A Low Noise CMOS Sensor Frontend for a TMR-based Biosensing Platform.”
- J. Zhao, A. Mohamed, and J. Anders, “An Active CMOS NMR Field Probe with Custom Transceiver and ΣΔ Modulator ASICs and an Optical Link,” in 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, doi: 10.1109/ISCAS45731.2020.9181026.
- A. Mohamed, A. Sakr, and J. Anders, “FIR Feedback in Continuous-Time Incremental Sigma-Delta ADCs,” in 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 1–4, doi: 10.1109/NEWCAS44328.2019.8961214.
Ayman Mohamed received the B.Sc. degree in Electronics from the German University in Cairo in 2014 and the M.Sc. degree in Communication Circuits and Systems from Ulm University in 2017.
From March to August 2013, he completed his bachelor thesis at the Chair for Integrated Systems at Technical University in Munich where he worked on analysis and hardening of a hardware-based video decoder against soft errors. In his master thesis, he designed and implemented a high speed Incremental Sigma Delta modulator in 180 nm CMOS at the Institute of Microelectronics at Ulm University.
From November 2016 to April 2017, he worked as an intern in the Automotive Electronics department at Robert Bosch in Reutlingen where he worked on front-end design for gyroscopes used in automotive applications.
In April 2016, he received the promotion prize for outstanding exam results in Communications Technology master’s program at the University of Ulm.
Since February 2018, he joined the Institute of Smart Sensors at the University of Stuttgart as a research assistant where he is pursuing his Ph.D degree under supervision of Prof. Jens Anders. The topic of his Ph.D studies focuses on the front-end design for low-noise Tunnel Magnetoresistance (TMR) sensors used to record single-events at neuronal scale. This would pave the way for durable implants, possible for brain-computer interface.