About the Speaker

Ahmed Mansour Elsabbagh is a Junior Analog IC Design and Research Fellow at CND at The American University in Cairo. He holds a BSc degree from Cairo University, Faculty of Engineering. His interests lie in analog and mixed-signal IC design, with a focus on RF and AMS circuit development and verification methodologies. He has contributed to academic projects involving RF circuit blocks such as RF-VGA and RF power amplifier design for a LEO satellite beamforming application. He is particularly interested in improving design and verification workflows for analog and mixed-signal IC development.

Using AI in Analog and Mixed-Signal Hardware Verification

Overview

The increasing complexity of analog and mixed-signal (AMS) systems is creating new challenges for traditional verification methodologies. This talk explores how artificial intelligence techniques can assist engineers in improving verification efficiency, coverage, and debugging productivity in AMS environments. We will discuss practical use cases such as automated test generation, anomaly detection in simulation results, and intelligent analysis of verification data. The presentation will also highlight how AI can complement existing verification flows rather than replace established engineering methodologies.

Key Points

• AI-assisted acceleration of AMS verification workflows
• Intelligent analysis of mixed-signal simulation data
• Automation of verification tasks in AMS environments