معرفی
Suraj Panicker is a Postdoctoral Researcher in the Department of Automation Technology and Mechanical Engineering. He holds a Master of Science in Industrial Management from Oregon State University (2018) and a Bachelor of Science in Mechanical Engineering (2014). His research focuses on additive manufacturing, materials science, and engineering design optimization, with particular emphasis on thermal analysis, dimensional modeling, and process-structure-property linkages. He has contributed to UN Sustainable Development Goals related to education and innovation.
Key research themes include wire arc additive manufacturing, infill strategy optimization, and graph-based modeling for design fidelity evaluation. His work integrates functional modeling, Bayesian networks, and singular value decomposition to address challenges in manufacturing processes and sustainability. Recent activities include presenting at the 2024 International Symposium on Industrial Engineering and Automation and contributing to the HE-LHC magnet production project.
Collaborations span academic and industrial partners, with active involvement in conferences since 2019. His research outputs (20 articles from 2018–2025) explore topics ranging from thermal history prediction to cold spray functionalization of additive manufactured structures.
