Research

Previous Works


  • Machine Learning (ML) based Physical Design Layout Violation Diagnostics

    • Dataset of DRC error density map using IC Validator

    • ML model train to predict and classify the violation root cause

    • Live diagnosis to translate physical error to the violation root cause

  • Machine Learning/Deep Learning based Scientific Prediction

    • Flow regime prediction of visualized fluid flow in 3D printed channel

    • Physical property prediction of carbon nanotubes (CNT) composites

  • Thermal Design, Modeling, and Optimization

    • Base design to represent any channel geometry for incremental optimization

    • Methodology to derive mathematical correlations of performance metrics with advanced design geometry

    • Optimization of channel design using derived models