Email: spilip@rpi.edu
PhD student, Rensselaer Polytechnic Institute, Department of Mechanical, Aerospace and Nuclear Engineering
His current research interests include fault detection for metal additive manufacture using machine learning algorithms. Previously, he worked on design projects utilizing CAD and FEA software. He also has experience with composite materials, including manufacturing technics and experimental determination of mechanical properties.
Mr. Spiliopoulos is a PhD student at Rensselaer Polytechnic Institute in the department of Mechanical, Aerospace and Nuclear (MANE) engineering. He is affiliated with Intelligent Structural Systems Laboratory (ISSL) where his current work focuses on fault detection systems for metal additive manufacture. He holds an integrated MEng degree from Aristotle University of Thessaloniki (AUTH) Greece, which he also worked as a Research Assistant at the Laboratory of Machine Elements and Mechanical Design.