Ehsan Toyserkani
Papers
7
Total Citations
150
H-Index
5
About
Ehsan Toyserkani is a leading researcher in advanced manufacturing, with particular expertise in laser directed energy deposition (LDED), robotic additive manufacturing, and intelligent process monitoring. His work sits at the intersection of manufacturing engineering, machine learning, and structural design, pushing the boundaries of what is achievable in modern fabrication systems. Among his most significant contributions is the development of novel process planning methodologies for robotic LDED systems capable of building complex geometries with variable overhang angles — a historically challenging problem in additive manufacturing. His team demonstrated overhang structures up to 35°, alongside adaptive trajectory planning techniques that correct geometric defects in large-scale builds in real time. Complementing this process-focused work, Toyserkani has pioneered deep-learning-based in-situ anomaly detection for laser deposition systems, a paper that has already garnered 49 citations since 2022, reflecting its immediate relevance to quality assurance in advanced manufacturing. His research further extends into flexible sensor design using triply periodic minimal surfaces and topology-optimized compliant mechanisms, underscoring his broad design and fabrication vision. Toyserkani's rapidly accumulating citation record marks him as an important voice shaping the future of intelligent, robotic additive manufacturing.
Research Focus
Key Achievements
Top Papers
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