Name:Jason D. Gower

Bio:

Jason Gower is a systems engineer at JGS Systems Consulting and Loughborough University. His research asks whether epistemic metadata, provenance, evidence anchors, status vocabularies, changes an AI consumer’s ability to answer derivation-style questions over SysML v2 models, and how governed read and write interfaces between large language models and system models can support that. He is the author of the MODELS 2026 NIER submission “Models as Governed Interfaces for AI-Native MBSE: Read-Side Adequacy and Write-Side Admissibility” and its companion open-source probe. His interests include architecture frameworks (NAFv4, UAF), SysML v2, and agentic workflows for engineering.

Country:United Kingdom

Affiliation:Loughborough University

Research interests:Systems Engineering, AI, Workflows, Architecture Frameworks, SysML, NAFv4, UAF, SysML V2