Supply chains provide a network describing how resources move from a source to delivery for consumption by the end user. Supply chains also involve the components involved in production and transportation of the commodities being moved in the supply chain. There is a need for modeling links in a supply chain to estimate supply and demand and to ensure...

Federated learning (FL) is envisaged to be a promising solution for collaboratively training a machine learning model while keeping the training data decentralized and private. For example, in FL, different participants might have different samples of data from different classes. Some participants might have no samples from some of the subclasses...

Present day autonomous systems are cyber-physical systems (CPS) that involve multi-dimensional interaction between the cyber machine and the operational environment. One of the key aspects of these autonomous systems is that interaction patterns change over the lifetime of usage. Changes in CPS interaction patterns can be unintentional or intentional...

AI systems are increasingly being used in critical applications where safety and reliability are paramount such as health care, autonomous driving, and financial services. Numerous AI systems operate as “black boxes,” meaning a system that processes inputs and produces outputs without revealing how it reaches its conclusions. This makes...

In the field of power grid analysis, particularly in distribution systems, solving the power flow problem is fundamental for grid planning and operational decision-making. Traditionally, methods rely on iterative techniques and sparse linear solvers to find solutions. However, these approaches can be computationally intensive, require careful initialization,...

Real-time monitoring and control of distribution networks was traditionally deemed unnecessary because it had radial configuration, unidirectional power flows, and predictable load patterns. However, the fast growth of behind-the-meter generation, particularly solar photovoltaic, electric vehicles, and storage, is transitioning the distribution system...

In many production systems like semiconductor manufacturing, food industry, and battery production, the amount of time a part can spend in successive buffers is limited in many production systems because of possible quality concerns. If a part's residence time exceeds these limits, it must be trashed, which results in waste and lost output. To prevent...

Networks like those of healthcare infrastructure have been a primary target of cyberattacks for over a decade. From just a single cyberattack, a healthcare facility would expect to see millions of dollars in losses from legal fines, business interruption, and malpractice lawsuits. As more medical devices become interconnected, more cyber vulnerabilities...

Modern day aircrafts rely on a plethora of communications and navigation systems to enable secure and reliable flight operations. These systems are designed in isolation and physically separated to prevent interference between services. These choices lead to stove-pipe designs that lack backward compatibility. As a direct consequence, exteriors of...

Quantum computing (QC) is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers (e.g., QC promises to process data with estimated speeds exceeding 100 million times relative to classical computers). Signal processing is...