🎓 Doctoral Dissertation Defence: Reza Asadi

📖 How can manufacturing data be transformed into reliable decisions?

📚 This question is at the heart of the doctoral research of MSc Reza Asadi, who has investigated how carefully designed experiments, sensor data, and artificial intelligence can be combined to monitor manufacturing processes and predict quality across metal additive manufacturing, milling, and micro injection molding. His work demonstrates that successful AI-driven monitoring depends not only on advanced models but also on high-quality data collection, preparation, and meaningful process indicators.

📝 Reza's doctoral dissertation,"Data-Driven Monitoring in Advanced Manufacturing: From Indicator Discovery to Prediction and Decision Support", provides practical foundations for smarter and increasingly autonomous manufacturing systems, supporting process optimization and quality-related decision-making.

🗓 Date: 18 September 2026

⏰ Time: 12.00 - 16.00 (UTC+3)

📍Place: Konetalo, Auditorium K1702, Hervanta Campus, Tampere University, Korkeakoulunkatu 6, Tampere

🌐 More information, thesis and link to remote participation: https://lnkd.in/deHDu_e7

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