Analog and Mixed Signal Analysis

Description

Analog and Mixed Signal (AMS) verification face significant challenges due to circuit complexity and short market windows. Besides the influence of noise and technology parameters, large designs are very expensive and difficult to verify. Enabling fast and accurate verification and modeling is still a bottleneck in research and industry fields. In this research project, we focus on two main objectives, namely: building computationally reduced accurate mathematical models of AMS designs and developing verification techniques for these designs influenced by non-idealities (initial condition uncertainties, Noise, Process Variation, etc.) in a unified framework.

Current Projects

• Surrogate based Optimization and Verification of AMS Designs
• Variation-Aware Analog Circuit Sizing
• Enabling the DC Solutions Characterization using a Fuzzy Approach
• Modeling and Verification of AMS Designs in Presence of Nonidealities
• A Semi-Formal Approach for Analog Circuits Behavioral Properties Verification
• Generation of Reduced Analog Circuit Models using Transient Simulation Traces
• Behavioral Verification of Analog Circuits using Model Order Reduction
• A Tool for Modeling and Analysis of Analog Circuits