Daniyal Maroufi

The University of Texas at Austin

Papers

1

Total Citations

2

H-Index

1

About

Daniyal Maroufi is a rising researcher at the forefront of surgical robotics, with a focused expertise in developing intelligent, spatial frameworks for minimally invasive orthopedic procedures. His most notable contribution is the introduction of S³D: A Spatial Steerable Surgical Drilling Framework for Robotic Spinal Fixation Procedures. This pioneering work, published in 2025, addresses a critical challenge in spinal surgery by enabling precise, steerable drilling within the constrained anatomy of the spine, enhancing both safety and accuracy. The framework represents a significant leap in robotic-assisted fixation, with early citations already highlighting its potential to reshape clinical workflows. Maroufi’s research lies at the intersection of robotics, computer vision, and biomechanics, aiming to automate complex surgical tasks that traditionally rely heavily on surgeon intuition. His work is particularly impactful for students and researchers interested in medical robotics, offering a tangible example of how spatial reasoning and robotic control can be integrated for real-world surgical benefit. As his career progresses, Maroufi’s contributions are poised to influence the next generation of smart surgical tools, making procedures safer and more reproducible.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
S <sup>3</sup> D: A Spatial Steerable Surgical Drilling Framework for Robotic Spinal Fixation Procedures
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago