Sayed Mohsin Reza

Students Present AI-Driven Defect Detection Research at 2025 Poster Symposium

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Sayed Mohsin Reza
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Under the guidance of Dr. Sayed Mohsin Reza (Research Advisor), Dr. Sheikh Fahad Ferdous, and Dr. Sayed Mohsin, undergraduate researchers Dhruv Suraj and Sapan Sahah presented their poster titled “Comparison of Machine Learning Models for Automated Defect Detection and Thermal Analysis of Polymer Composites” at the 2025 poster symposium.

Attendees engage with Dhruv Suraj and Sapan Sahah’s poster on AI-driven defect detection during the 2025 Research Symposium.
Attendees engage with Dhruv Suraj and Sapan Sahah’s poster on AI-driven defect detection during the 2025 Research Symposium.
Dhruv Suraj and Sapan Sahah proudly present their research on machine learning and thermal analysis in polymer composites at the 2025 poster session.
Dhruv Suraj and Sapan Sahah proudly present their research on machine learning and thermal analysis in polymer composites at the 2025 poster session.

Conducted as part of ongoing research at the Data-Driven Decision Making Lab, the project investigates the use of thermal imaging combined with artificial intelligence to enhance quality control in polymer-based advanced manufacturing. The team compared the performance of various machine learning models in identifying defects, contributing critical insights into the efficiency and precision of data-driven manufacturing systems.

Their work reflects the lab’s commitment to applying cutting-edge AI techniques to solve real-world engineering challenges. Congratulations to Dhruv and Sapan for their exceptional contribution!