On November 5, 2025, Dr. Ahmed Mohamed—Postdoctoral Fellow with the Interdisciplinary Research Center for Communication Systems and Sensing—delivered a seminar titled “Silicon-Based CMOS Integrated Circuits for Low-Power Sensing Applications.”

The talk showcased how advances in analog and mixed-signal CMOS are pushing bio-signal acquisition and intelligent edge processing into smaller, smarter, and more energy-efficient form factors. Dr. Mohamed detailed three hallmark designs: a temperature-insensitive PPG acquisition system that stabilizes hemodynamic monitoring in real-world conditions; a compact biosignal front-end built around a rail-to-rail current conveyor with an active inductor for precise, low-power filtering; and an analog AI accelerator implementing a radial basis function neural network to enable fast, on-chip classification without the energy overhead of digital inference. Together, these innovations illustrate how circuit-level ingenuity can unlock reliable, continuous sensing for next-generation wearables and healthcare monitoring systems.

Participants left with practical design takeaways—how to co-optimize sensor interfaces, analog signal conditioning, and embedded intelligence to cut power, boost robustness, and shorten the path from lab prototypes to deployable, patient-centric devices.

The following are the highlights of the event: