About
**Project Description**: This project explores the use of agentic AI for PLC/UNICOS engineering workflows at CERN. The aim is to support engineers in two main tasks: Functional Analysis quality and compliance checking and UNICOS specification generation. The system processes Functional Analysis documents and checks them against engineering guidelines to identify missing, incomplete, or non-compliant requirements. It also builds knowledge bases from available engineering information, including Functional Analyses, IO lists File, UNICOS documentation, and specification templates to support specification generation and validation. The solution combines multimodal document processing, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) to create an engineering copilot that can interact with existing tools while keeping the engineer in control of the final decisions.
**Supervisor**: Filippo Berto
00:00:00 Slide 1
00:00:10 Slide 2
00:00:46 Slide 3
00:02:24 Slide 4
00:03:07 Slide 5
00:03:56 Slide 6
00:04:57 Slide 7
00:05:38 Slide 8
00:06:15 Slide 9
00:07:21 Slide 10
The talk
Credits and licence
- Institution
- CERN
- Speaker
- Daniya Niazi
- Year
- 2026
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed