Hossein Gohari

Ontario Tech University

Papers

1

Total Citations

32

H-Index

1

About

Hossein Gohari is a researcher whose work lies at the intersection of computational geometry, manufacturing simulation, and advanced surface modeling. His primary research focuses on developing efficient algorithms for the processing and slicing of NURBS (Non-Uniform Rational B-Splines) surfaces, which are critical in computer-aided design (CAD) and additive manufacturing. Gohari’s most notable contribution, "An efficient methodology for slicing NURBS surfaces using multi-step methods" (2017), has garnered 32 citations, reflecting its practical impact on improving the accuracy and computational speed of surface slicing for 3D printing and CNC machining. This work addresses a key bottleneck in digital manufacturing by reducing processing time while maintaining geometric fidelity. Beyond this, Gohari’s research explores multi-step numerical approaches that bridge the gap between theoretical surface representation and real-world fabrication constraints. His achievements demonstrate a commitment to solving tangible engineering problems, making his work valuable for students and professionals in mechanical engineering, computer graphics, and industrial automation. Gohari’s contributions continue to influence the development of more efficient and reliable manufacturing workflows.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
An efficient methodology for slicing NURBS surfaces using multi-step methods
32 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Ontario Tech University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago