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Sajjad Bahrebar is a Postdoctoral Researcher at the Technical University of Denmark, focusing on Risk Reliability. His expertise in electronics involves the reliability assessment of electronic devices under various environmental conditions. He is known for employing machine learning techniques to enhance predictive analytics in PCBA failures, particularly in humidity environments. Bahrebar collaborates with other researchers to explore the effects of corrosion on PCBA cleanliness and develop new methodologies to mitigate risks associated with electronic device failures. Over the years, he has contributed significantly to the understanding of the role of cleanliness in electronic assemblies and its impact on reliability. Sajjad actively participates in conferences and workshops, sharing his findings and insights with other professionals in the field.
Technical University of Denmark • Kgs. Lyngby
Conducting research on reliability of electronic devices, focusing on predictive analytics for PCBA failures.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.