Systems Engineering

Researchers Maral Shadaei, Ali Hosseinipour, and Javad Khazaei have introduced a groundbreaking approach to assessing the resilience of medium-voltage DC (MVDC) distribution technology in marine vessels, particularly naval ships. Their work, publishe

Researchers from Imperial College London have published a comprehensive survey and tutorial on reinforcement learning (RL) methods tailored for the process systems engineering (PSE) community. The study, authored by Maximilian Bloor, Max Mowbray, Ehe

Zirui Li, Stephan Husung, and Haoze Wang, researchers at the University of Bremen, have developed a novel approach to enhance collaboration in Model-Based Systems Engineering (MBSE) using SysML v2 and Large Language Models (LLMs). Their work addresse

Amirreza Hosseini and Amro M. Farid, researchers at the Massachusetts Institute of Technology, have developed a novel approach to project scheduling that bridges the gap between resource-constrained project scheduling and model-based systems engineer

Researchers from the University of Lagos have proposed a groundbreaking framework that could redefine how future wireless networks, including 6G and beyond, are managed. Their work introduces the concept of an LLM-RAN Operator, where a Large Language

Researchers from the Max Planck Institute for Intelligent Systems, including Tobin Holtmann, David Stenger, Andres Posada-Moreno, Friedrich Solowjow, and Sebastian Trimpe, have developed a novel approach to state estimation in control and systems eng

Researchers from the University of California, Berkeley, and Stockholm University have unveiled a groundbreaking framework called EnergyNet, which draws inspiration from the telecom industry’s transition from centralized, circuit-switched phone syste

Researchers from the University of Antwerp, Belgium, and the University of Antwerp Management School have developed a framework to streamline experimentation in Model-Based Systems Engineering (MBSE). The team, led by Johan Cederbladh and including L

Researchers from the Queensland University of Technology (QUT) and the Australian Institute of Marine Science (AIMS) have developed a groundbreaking automated system to revolutionize coral reef restoration efforts. The Coral Spawn and Larvae Imaging

Researchers Dakota Thompson and Amro M. Farid from the University of Massachusetts Amherst have developed a novel approach to modeling and analyzing the complex interdependencies of the American Multi-Modal Energy System (AMES). Their work focuses on