Rate My Professor Seyed Hojat

Hojjatzadeh's research specializations encompass smart manufacturing, in-situ monitoring, additive manufacturing, and machine learning. His work advances metal additive manufacturing through in-situ synchrotron X-ray monitoring to analyze real-time process dynamics, including pore and crack formation, melt pool behaviors, process instabilities, and the development of closed-loop systems for part qualification, as well as novel alloy designs to improve printability and performance. Key publications include "Direct Observation of Pore Formation Mechanisms during LPBF Additive Manufacturing Process" (2020, cited over 350 times), "Controlling Process Instability for Defect Lean Metal Additive Manufacturing" in Nature Communications (2022), "In-Situ Characterization of Pore Formation Dynamics in Pulsed Wave Laser Powder Bed Fusion" (2021), and "Effects of Particle Size Distribution with Efficient Packing on Powder Bed" (2022, cited 59 times). His research has amassed over 2,100 citations, underscoring its substantial impact on defect mitigation and optimization in the additive manufacturing field.