Mark Zimny

Papers

5

Total Citations

125

H-Index

4

About

Mark Zimny is a researcher specializing in advanced additive manufacturing, with a particular focus on robotic Laser Directed Energy Deposition (LDED) systems, process planning, and intelligent quality control. His work sits at the intersection of manufacturing engineering, robotics, and artificial intelligence, addressing some of the most pressing challenges in large-scale metal additive manufacturing. Zimny's most impactful contribution to date is his development of a deep-learning-based methodology for in-situ surface anomaly detection during powder-fed LDED processes, which has garnered 49 citations since its 2022 publication — a testament to the field's urgent need for real-time quality assurance solutions. Complementing this, his pioneering process planning frameworks for building complex geometries with variable overhang angles — achieving overhangs up to 35° — have collectively attracted over 60 citations, demonstrating significant practical relevance for fabricating intricate structural components. His more recent work on intermittent adaptive trajectory planning for geometric defect correction further showcases his commitment to closing the loop between process monitoring and adaptive control in large-scale manufacturing. Across his body of work, Zimny has established himself as an emerging authority in intelligent, robot-assisted additive manufacturing systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
125
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding
49 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 10

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago