Papers

3

Total Citations

11

H-Index

2

About

Rafic Bachnak’s research career spans two distinct but impactful domains: computer vision and engineering education. In the field of 3D computer vision, he pioneered multiple stereo vision systems for object reconstruction, developing a novel approach that used N cameras arranged in periodic stereo pairs to extract three-dimensional information and reconstruct surfaces in robotic workspaces. His foundational work, published in 1990 and refined in 2002, established methods for surface reconstruction that remain relevant in robotics and automation. These contributions, while modest in citation count, represent early and innovative approaches to multi-camera 3D reconstruction. More recently, Bachnak has focused on broadening participation in engineering through summer enrichment workshops that engage middle and high school students in hands-on STEM activities. His 2020 paper on this program demonstrates his commitment to educational outreach, delivering university-level science, technology, engineering, and mathematics experiences to young learners. This dual legacy—advancing technical methods in 3D vision while cultivating the next generation of engineers—defines Bachnak’s career as both a researcher and an educator dedicated to making engineering accessible and exciting.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Multiple stereo vision for 3D object reconstruction
5 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Ohio University, Harrisburg University of Science and Technology, Texas A&M International University

Top Papers

  1. 1
  2. 2
    MULTIPLE STEREO VISION SYSTEM FOR 3-D OBJECT RECONSTRUCTION
    4 citations · 1990
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
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