Formal methods represent a rigorous suite of mathematical techniques designed to specify, develop and verify system models with a high degree of reliability. In system modelling, these methods provide ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

Servers in many real queueing systems do not work at a constant speed. They adapt to the system state by speeding up when the system is highly loaded or slowing down when load has been high for an ...

Although digital engineering has been around for years, its use within the Pentagon has been limited. The T-7A Red Hawk is one of only a handful of programs described as “radically digital." (Boeing) ...

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Biological engineers developed a computational approach to extracting useful information from large biological datasets. They showed they could unravel interactions that determine how the immune ...