Ebru Turanoglu Bekar

Chalmers Tekniska Högskola, Kretslopp och vatten i Göteborgs stad, Mistra Inframaint

Ebru Turanoglu Bekar is a Senior Lecturer at Chalmers University of Technology in the department of Industrial and Materials Science, specializing in industrial data analytics and AI for Smart Maintenance, with a focus on predictive maintenance and data-driven decision-making in collaboration with leading national industrial partners. She is also actively involved in teaching, course development and management in Production Engineering Master Program, and also contributes as an educational developer supporting Chalmers’ education initiatives.

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AI-Powered Predictive Maintenance for Sustainable and Resilient Industrial Operations

In this session, Ebru Turanoglu Bekar will present key achievements and insights from her previous and ongoing research projects funded by Vinnova's Advanced and Innovative Digitalization program. She will highlight how industrial data analytics and AI techniques are applied in Smart Maintenance to drive predictive maintenance and data-driven decision-making.

The talk will cover practical learnings from collaborations with leading industrial partners and demonstrate some outcomes from these projects. Attendees will gain an understanding of the challenges and solutions of implementing AI-driven maintenance strategies in real-world industrial settings. Ebru will also share perspectives on future directions for research and innovation within the topic.

Spår:
Framtidens produktion
Lokal:
Teknikscenen

In this session, Ebru Turanoglu Bekar will present key achievements and insights from her previous and ongoing research projects funded by Vinnova's Advanced and Innovative Digitalization program. She will highlight how industrial data analytics and AI techniques are applied in Smart Maintenance to drive predictive maintenance and data-driven decision-making.

The talk will cover practical learnings from collaborations with leading industrial partners and demonstrate some outcomes from these projects. Attendees will gain an understanding of the challenges and solutions of implementing AI-driven maintenance strategies in real-world industrial settings. Ebru will also share perspectives on future directions for research and innovation within the topic.