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Dina Tri Utari

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Dina Tri Utari

PhD Candidate
Department of Mechanical and Industrial Engineering

dina.t.utari@ntnu.no
212 Verkstedtekniske laboratorier Gløshaugen, Trondheim
Scopus Google Scholar
About Research

About

CV

Dina, originally from Yogyakarta, Indonesia, has an academic background in Mathematical Science, specializing in Statistics and Data Science. She is currently pursuing her PhD with a research focus on Trustworthy Artificial Intelligence in the RAMS (Reliability, Availability, Maintainability, and Safety) research group.

Her doctoral work is supervised by Professor Shen Yin and contributes to the prestigious TUAI (Towards an Understanding of Artificial Intelligence) project (https://tuai.eu/), a European HORIZON MSCA Doctoral Network project dedicated to developing transparent, open, and explainable AI methodologies.

Driven by a passion for advancing safe and accountable AI systems, Dina’s research aims to bridge theory and real-world application, ensuring AI technologies can be trusted in high-stakes environments.

Competencies

  • AI Safety
  • Explainable and Trustworthy AI Techniques
  • Machine Learning
  • Python and R programming
  • Statistical Modeling

Research

  • RAMS (Reliability, Availability, Maintainability and Safety)

Enhancing Trustworthy AI Integration in Safety-Critical Systems

This doctoral project aims to bridge the gap between academic research on trustworthy AI and its practical deployment in safety-critical CPS environments.

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