- Technology and innovations
- Event date:
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- Time:
- 12:00–17:00
- Event location:
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SN201, Snellmania, Kuopio Campus
- Additional information:
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The public examination will be streamed live.
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The doctoral dissertation of Mazhar Mohsin, MSc, entitled Deep learning based real-time defect detection, classification, and segmentation methods for industrial quality control will be examined at the Faculty of Science, Forestry and Technology, Kuopio Campus. The opponent will be Associate Professor Miguel Bordallo López, University of Oulu, and the custos will be Professor Pekka Toivanen, University of Eastern Finland. Language of the public defence is English.
A news release of the dissertation will be published at https://www.uef.fi/en/doctoral-dissertations
