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Machine Learning & Mission-Critical Systems
Ph.D. in Machine Learning (ERAU 2025). Three IEEE Access papers on trustworthy ML, proof-of-learning, and model watermarking. Twelve years architecting mission-critical systems across defence, security, and aviation.
Technical Writing
Technical writing on machine-learning security, proof-of-learning, distributed systems, and the engineering of high-reliability software, written for ML researchers, senior engineers, and technical leaders.
Posts by Category
Posts organised by category: machine learning, security, engineering, and more.
Posts by Collection
Browse all publications, talks, and portfolio items on ozgurural.github.io.
Essays
Slow, indirect writing about machine learning, security, and the systems we are quietly building.
Gradient Pinball: how machines learn, animated
A cinematic, PhD-level explainer on gradient descent, momentum, and why high-dimensional loss landscapes are ruled by saddle points, not local minima.
Universal Jira: Prediction Markets for Global Coordination, animated
A cinematic explainer on how smart contracts and prediction markets can act as humanity’s decentralized task board.
ML Oracles: Bringing Truth to the Chain, animated
A cinematic, PhD-level explainer on the convergence of machine learning and decentralized oracle networks.
Proof-of-Learning (SecurePoL), animated
Final weights are a snapshot anyone can copy, but the path that produced them is a one-way function of compute. A cinematic, PhD-level explainer of Proof-of-Learning.
Block Race: Nakamoto consensus, animated
Why ‘6 confirmations’ is a probability, not a promise. A cinematic, PhD-level walk through the double-spend math of Bitcoin’s whitepaper §11.
Redundancy Reactor: fault tolerance, animated
Majority voting buys superlinear safety, until correlation installs a floor you can’t vote past. A cinematic, PhD-level explainer ending in the Ariane 5 disaster.
The Watermarking Wars: Capacity vs. Robustness, animated
A cinematic explainer comparing ML watermarking strategies: parameter perturbations, feature triggers, generative green-lists, and auxiliary heads.
Model Heist Detector: AI watermarks, animated
How a watermark too faint to see in any single weight becomes a courtroom-grade signature across thousands of them. A cinematic, PhD-level Z-test explainer.
Research Lab
Block Race · Model Heist Detector · Proof-of-Learning (SecurePoL) · Redundancy Reactor · Gradient Pinball · ML Oracles · Watermarking Models · Universal Jira Board. Real research math, animated from the equation up.
Perspectives & Leadership
Essays and notes on system architecture, engineering leadership, the academia-to-industry transition, and what twelve years of shipping mission-critical software teaches about building resilient systems.
Projects
Research code, interactive demos, and production systems by Dr. Ozgur Ural: SecurePoL proof-of-learning security, model watermarking, UAV ground control, Level D flight-simulation platforms, and clinical tooling.
Advisory & Service
Technical advisory, ML-security and model-provenance review, conference speaking, plus peer review and program-committee service across machine-learning security and distributed systems.
Sitemap
A full list of all posts, pages, and publications on ozgurural.github.io.
Terms and Privacy Policy
Privacy policy and terms of use for ozgurural.github.io.