BioSketch

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.

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.

IEEE Senior Member Held by fewer than 10% of IEEE's 400,000+ members
Universities & National Labs
Dakota State University University of South Dakota North Carolina A&T State University South Carolina State University University of Idaho Augusta University Cal Poly State University University of Dubai University of Washington École de Technologie Supérieure (ETS) Claremont Graduate University Savannah River National Laboratory Idaho National Laboratory

Research collaboration across 13 institutions and over 35+ researchers

Industry Experience

Before turning to academia full-time, Eric spent 25 years inside some of the most influential technology companies in the world — Apple, HP, Microsoft, and T-Mobile, with earlier product development roles at MediaVision, MetaCreations (Ray Dream), and Intuit. His work touched notable products including DIGITS and the 5G Network at T-Mobile; Active Directory and the Microsoft Partner Network at Microsoft; the HP Pavilion at Hewlett-Packard; WebTurboTax at Intuit; Ray Dream Studio at MetaCreations (Ray Dream); the Pro AudioSpectrum PC Sound Cards/CD-ROM at MediaVision; ClarisWorks at Apple (Claris); and the Macintosh II and Macintosh SE at Apple Computer. He built and led security and technical program teams, shaped enterprise-scale platforms, and turned ideas into inventions. It's a practitioner's foundation that continues to inform everything he researches and teaches.

Academic Background

Eric Yocam holds a Ph.D. in Cyber Operations from Dakota State University's Beacom College of Computer and Cyber Sciences. Dakota State University is one of only nine universities in the nation to hold all three National Security Agency National Centers of Academic Excellence designations — Cyber Defense (CAE-CD), Cyber Operations (CAE-CO), and Cyber Research (CAE-R). Eric also holds a Doctor of Business Administration (DBA) — a combination that bridges deep technical cyber expertise with business strategy and leadership, equipping Eric to address cybersecurity not only as a technical discipline but as an organizational and strategic imperative. Eric concurrently serves as a Lecturer at California Polytechnic State University teaching undergraduate students cybersecurity, and as Adjunct Assistant Professor at Dominican University of California teaching an online course he developed — Information Security Risk Management — as part of their MS in Cybersecurity program.

Books & Creative Work

Beyond academia, Eric is the author of Cyber Inference (Book 1 of The Convergence Chronicles), a hard science fiction series exploring AI consciousness and superintelligence that has been well received by readers. He is actively developing Book 2, Cyber Emergence.

He is also the author of The Applied AI Universe Coding Guide (Book 1 of the Adaptive AI Codex Series, 2026), a complete hands-on handbook that takes readers from foundational neural networks through modern generative AI — pairing clear explanations with practical, code-first examples for building and understanding real AI systems. Learn more ↗

On the governance side, Eric co-authored Corporate Governance: A Board Director's Pocket Guide (4th Edition, 2026), a practical handbook for board directors navigating AI governance, cybersecurity oversight, and the high-risk environment of 2026. Learn more ↗

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