Post Master
This research aims to create a framework for semiconductor provenance and traceability that facilitates
trusted, scalable, and privacy-preserving information exchange across the global supply chain. Despite
extensive internal traceability data, semiconductor companies currently lack a mechanism to share
minimal, verifiable provenance information without exposing sensitive data. The goal is to establish a
technical foundation and implementation roadmap for secure, interoperable, and scalable
semiconductor traceability, enhancing global trust and national security.
Leads research on threats to semiconductor security, including formal threat modeling, metrics for
mitigation, and attack simulations. Focuses on emerging areas such as advanced packaging, developing
actionable countermeasures, and publishing findings for industry use. Fosters collaboration across
government, academia, and industry to advance hardware security and provenance, supporting secure
semiconductor supply chains critical to national security and aligned with NIST’s research agenda.
Semiconductor Traceability and Provenance Prototype
- Enrolled in a Ph.D. degree program in Computer Engineering, Computer Science, Engineering, or
a related field. - Familiarity with Integrated Circuit design and methodologies.
- Knowledgeable in programming languages and distributed ledger implementation strategies
- Strong oral and written communication skills.
- Ability to integrate information from diverse sources effectively and efficiently
Key responsibilities will include, but are not limited to:
- Research and develop a traceability framework enabling interoperable and privacy-preserving
provenance across semiconductor supply chains for one application, e.g., automotive, or
hyperscalers. - Engage stakeholders across industry, academia, and government to align requirements,
priorities, and adoption pathways, incorporating insights from workshops and ongoing
collaborations. - Research and document serialization and identification approaches, including physical and
virtual device IDs at electrical test, ensuring scalability and lifecycle traceability, suitable for
large-scale deployment. - Identify, Research and document methods to support secure, interoperable provenance
exchange across distributed systems, leveraging machine-readable formats and privacy-
preserving techniques.