Slav Ivanov, a fourth-year PhD student at the University of Strathclyde, working at the intersection of Computer Science and Physics, has joined the ENSIGN team to help drive forward development of the project’s interactive Low-Voltage (LV) Network Demonstrator for WP2-Electrical Network Sub-Digital Twin. His academic research explores machine learning–driven optimisation techniques for laser–plasma systems, building on several years of experience as a software developer in both industry and research settings.
In his role as a Research Software Engineer on ENSIGN, Slav is leading efforts to refine and streamline the LV Network Demonstrator. He is focused on improving system efficiency, enhancing the modular structure of components, and ensuring the platform can support new features as the project evolves.
Slav’s work will also support the integration of additional networks into the demonstrator, as well as the incorporation of machine learning models developed by the wider team. These models will generate stakeholder demand profiles, expanding the tool’s capability and helping ENSIGN deliver richer, data‑driven insights.
