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BEGIN:VEVENT
UID:32@softwareforum.dk
DTSTART;TZID=Europe/Copenhagen:20260625T163000
DTEND;TZID=Europe/Copenhagen:20260625T180000
DTSTAMP:20260609T060907Z
URL:https://www.softwareforum.dk/events/ai-assisted-engineering-automation
 -practical-examples-and-demonstrations/
SUMMARY:AI-Assisted Engineering Automation – Practical Examples and Demon
 strations
DESCRIPTION:Time: Thursday\, 25th June\, 16:30 – 18:00\nPlace: Alsion\, M
 304-M307 (go to the main entrance and take lift to the 3rd floor\, head Ea
 st \;)\nSign-up: Sunday\, 21st June\, 23:59\n\nSandwiches will be served\,
  if you have special dietary needs then you can order a chicken or vegetar
 ian sandwich by sending an email to Krzysztof (krzys@mmmi.sdu.dk).\n\nDesc
 ription\nThis talk presents three student projects developed in cooperatio
 n with local industry\, illustrating practical uses of AI in engineering a
 utomation. The projects cover AI-assisted generation of test specification
 s from requirements\, extraction of structured data from PDF documentation
 \, and automation of embedded user-panel testing using computer vision and
  AI-supported interpretation of test cases.\nAcross the three cases\, AI i
 s used as a supporting tool within human-in-the-loop workflows that emphas
 ize validation\, traceability\, and robustness. The presentation will high
 light practical lessons learned from applying AI in real engineering conte
 xts and include demonstrations of selected project results.\n\nSpeakers &a
 mp\; Projects\nAdriana Jaworska and Aleksandra Maria Kril are Bachelor stu
 dents in Software Engineering at the University of Southern Denmark. Their
  project with Danfoss Power Solutions explores AI-assisted generation of s
 tructured test specifications from requirements.\nSvens Gotvoni is a Bache
 lor student in Software Engineering at the University of Southern Denmark.
  His project with Danfoss Climate Solutions includes AI-supported extracti
 on of engineering data from PDF documentation.\nDaniel Ndangsa Nguh is a M
 aster’s student in Mechatronics Engineering at the University of Souther
 n Denmark. His project with BITZER Electronics focuses on automating embed
 ded user-panel testing using computer vision and AI-supported test interpr
 etation.
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