This project develops AI and machine learning models for analyzing thermal and visual imaging data to enable accurate classification and detection of anomalies. It focuses on non-invasive sensing techniques for applications such as defect detection, monitoring, and predictive analytics in real-world environments.

BySayed Mohsin Reza
Electricity Market,Machine Learning,News,Research Projects,Thermal Imaging
February 26, 2026
We are thrilled to announce that two members of the Data Driven Decision Making (D3M) Lab, Sapan…
A recent research study by D3M Lab members has been published in the journal Results in Engineering…
Sapan Shah, an undergraduate student, received and completed his MCREU 2025 project titled ”…
Under the guidance of Dr. Sayed Mohsin Reza (Research Advisor), Dr. Sheikh Fahad Ferdous, and Dr…
Undergraduate students Sapan Shah and Suraj Dhruv from the D3M Lab presented their research at the…
