BioSketch

Research Focus Universities & National Labs Industry Experience CyberLabs, Industry & Government Partnerships Academic Background Books & Creative Work
Research Focus

Eric Yocam's research spans adversarial machine learning, post-quantum cryptography, agricultural IoT security, LLM hallucination mitigation, autonomous vehicle lane detection, and space IoT cybersecurity risk. He is an IEEE Senior Member whose industry innovations span DeepFake Detection, Behavioral Biometrics, and Temporal Identity Vaulting.

IEEE Senior Member Held by fewer than 10% of IEEE's 400,000+ members

Across his portfolio, a unifying question emerges: how do you secure systems that lack strong central authority? His technical work — hardening AI models, securing distributed networks, defending autonomous systems — addresses this from an engineering perspective. A second, less conventional layer of his research examines it through governance: his work on celebrity board directors and decentralized cryptocurrency markets argues that technical security is necessary but not sufficient — who controls a system, and under what incentives, matters just as much as the code. Taken together, his research is interdisciplinary and emerging-topic focused, tracking where risk is growing fastest across AI ecosystems, distributed networks, and markets where institutional oversight is thin.

Universities & National Labs
Industry Experience
CyberLabs, Industry & Government Partnerships
Academic Background
Books & Creative Work

Education

Academic Appointments

Professional Experience

Publications

Inventions & Patents

Service to Profession

Featured Talks & Media

Honors & Awards

Avocations