2023 Research Projects

Climate and Related Stressors of Semiconductor Supply Chains 

Risk of Critical Materials Supply Disruptions in Chip Manufacturing 

Specification Reverse Engineering from FPGA Netlists

Data Augmentation to Enhance Machine Learning Based Security Assessment and Reverse Engineering of Microelectronics through a Cloud-based platform

Automated High-resolution Inspection and Reverse Engineering of Microelectronics Using Laser and Multimodality Microscopy

Wafer-Level Provenance Attestation: Machine Learning to the Rescue

Investigating the Weaknesses of IP Protection through eFPGA-based Hardware Redaction

Cost-Effective IC Redaction through a CMOS/MRAM Transistor-Level Programmable Fabric

Robust Cross-Device Side-Channel Attacks

Secure Coding against Hardware Attacks

Side Channel Vulnerability Analysis and Mitigation for Emerging Machine Learning Models on ARM and X86 Architectures

Security Analysis of Post-Quantum Cryptography CRYSTAL-Kyber Implementations

Risk and Uncertainty Quantification using Multi-fidelity CHEST Devices

SEFF: Scalable Embedded Firmware Fuzzing for Hardware Peripherals

Deploying Advanced GPT & LLM Language Models in an Ontology-Driven Framework for Hardware Vulnerability Prediction and Analysis

Enabling Dynamic Flow Analysis for Bare-Metal Embedded Firmware Binaries

Integrating GPUs and FPGAs with Processing-in-Memory to Accelerate Fully Homomorphic Encryption

On-Chip and Continuous Monitoring of EM Signals for Secure Microelectronics

GNN-based Hardware Trojan Detection for Large Complex Third-Party IPs

Scalable Security Verification Framework for Digital and Analog/Mixed-Signal System-on-Chips