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Publications

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Books

Edited Journal Issues and Conference Proceedings

Dissertations

Journal Articles

Significance/impact: Developed a digital-twin platform for integrated exploration of automotive functional safety and cybersecurity, enabling system-level analysis of interactions among ECUs, sensors, actuators, failures, and adversarial compromises.

Significance/impact: Introduced RACCON, the first framework providing real-time resiliency for a cooperative automotive application, combining attack detection with real-time mitigation so that cooperative adaptive cruise control can continue operating safely under adversarial V2V communication.

Significance/impact: Established an architecture-level framework for enforcing system-wide security policies in SoCs containing potentially untrusted components, including mechanisms for policy specification, enforcement, and validation.

 

Publications in Conference/Symposia

Significance/impact: Introduced ScreeningPaL, an LLM/NLP approach that uses caregivers’ free-text descriptions to support accessible early autism risk screening; transformer models achieved 90% accuracy on an external benchmark dataset.

Significance/impact: Presented the first experimental analysis of security vulnerabilities specific to steer-by-wire systems, demonstrating attacks targeting the sensing infrastructure of an emerging safety-critical automotive architecture.

Significance/impact: Demonstrated application-level hardware tracing on the industrial-scale OpenSPARC T2 at a scale beyond prior tracing approaches, achieving 98.96% trace-buffer utilization and 94.3% average flow coverage while reducing potential root causes to 21.11% on average.

Significance/impact: Demonstrated the certification framework on designs (generated by commercial tool) exceeding 32,000 lines of RTL and exposed a previously unknown correctness bug in a commercial behavioral synthesis tool.

Significance/impact: Established the tool-independent theorem-proving and equivalence-checking framework underlying a sustained program on certified behavioral synthesis. The project was selected and reported by NSF as a research highlight in 2010 and subsequently evaluated through industrial-scale applications and demonstrations.

Significance/impact: The compositional cutpoint methodology developed in this work catalyzed independent verification efforts at Galois, NSA, Rockwell Collins, Stanford, and Cambridge, and was subsequently applied under DARPA SHADE to high-assurance machine code verification.

Publications in Peer-reviewed Workshops

Book Chapters

Technical Reports, Drafts, and Miscellaneous Writings