Model-based design tools are often used to design safety-critical embedded software. Consequently, generating correct code from such models is crucial. We tackle this challenge on Lustre, a dataflow ...

This dissertation is concerned with techniques for formally checking properties of systems that are described by operational semantics. We describe innovations and tools for tackling this problem, and ...

Planners today struggle to properly apply operational art in large scale war — and they don’t fully realize why. It takes something like firsthand experience in a strategic level wargame against a ...

The application of data science in agriculture enables the analysis of diverse datasets using methods such as machine learning, deep learning, computer vision, text mining (Drury and Roche, 2019), and ...

During my company’s first year in business, I recall a coach asking about our goals. He casually suggested that perhaps running a single med spa location would be sufficient. It made me angry. “We are ...

An operational definition explains what a concept means in practical, measurable terms. It makes abstract or vague ideas concrete so that people are more likely to understand them in the same way and ...

An amble through the neighborhoods of North Berkeley often turns into an introspection and a treasure hunt. On one such stroll, I and my fellow amblers stumbled across an empty, upturned flower pot, ...

Witnesses' calls for better investment in securing such systems come just two months before a key cybersecurity information-sharing law is set to expire. Critical Infrastructure Congress CISA Cyber ...

An HR advisor with a background in recruitment and HRIS functions, with a passion for video games and writing. Oliver grew up playing Call of Duty with his siblings and has garnered 1000s of hours ...

In the business world, operational resilience can be compared to the physical concept of resilience, which defines the ability of a material to return to its original state after being subjected to an ...