Associate Director, LSU Center for Internal Auditing & Cybersecurity Risk • CTO, Polaris EcoSystems • Coauthor, “Practical AI for Professionals”
I'm an applied researcher and technology leader working at the intersection of computer vision, internal auditing, and cybersecurity risk. I serve as Associate Director of the Center for Internal Auditing and Cybersecurity Risk Management at LSU, CTO of Polaris EcoSystems, Inc., and coauthor of “Practical AI for Professionals: Understanding, Using, and Surviving AI” (Chapman & Hall, 2026).
My work focuses on building trustworthy AI systems and governance frameworks: persistent 3D reconstruction and SLAM, quality-aware observation schemas, assurance over AI/ML systems, and practical guidance for professionals who need to evaluate and deploy AI without becoming machine learning engineers.
I work across cloud security, applied computer vision, and AI governance: building tools like Quiet Riot for cloud enumeration, multi-modal localization and reconstruction systems, and governance frameworks that help boards and internal audit teams reason about AI risk.
View Projects →Coauthor of “Practical AI for Professionals: Understanding, Using, and Surviving AI”, a forthcoming Chapman & Hall / Routledge book aimed at giving lawyers, physicians, auditors, engineers, and other professionals enough grounding to use AI effectively and survive the next decade of AI-driven change.
Learn More →Computer Vision and SLAM, focusing on persistent object-level representations in egocentric scenarios, CAD alignment, and edge-based 3D reconstruction for AR applications. Also pursuing philosophy research on induction, evolutionary epistemology, and theories of weak coherence.
Developing a comprehensive framework for object-level loop closures in SLAM systems, enabling persistent object tracking across long time gaps and viewpoint changes.
Building uncertainty-aware alignment system for egocentric reconstructions to canonical CAD templates with manufacturing tolerance estimation and engineering workflow integration.
Designing reference edge appliance for real-time 3D reconstruction and AR overlay generation with sub-30ms latency requirements and comprehensive performance evaluation.
Desktop GUI app and headless CLI for multi-modal localization experiments. GUI features modern UI/UX; CLI is perfect for SBCs and automation. Both packaged for macOS and Linux.
xattr -cr ~/Downloads/Localization\ GUI-*.dmg./localization_cli --help© 2025 Wesley Ladd. All rights reserved.
Last updated: 3/3/2026