Research
Active research projects
Physically-Aware Diagnostic Resolution
Development of A Process-Aware DFM Framework by Leveraging Test Data
Improving Diagnostic Resolution Using Machine Learning
LASIC: Layout Analysis for Systematic Identification using Clustering
SLIDER: A Fast and Accurate Defect Simulation Framework
Diagnosis-Driven Evaluation of Design-for-Manufacturability
Fault Dictionary Compaction for On-Chip Diagnosis
Redundant Test Identification
CANOPY: A Boolean Optimization Approach for Minimizing Ensemble Size
Learning Based Fault Detection Through Indirect System Observation
