Elnaz Shokrollahi

University of New Brunswick, University of Toronto

Papers

3

Total Citations

22

H-Index

2

About

Elnaz Shokrollahi is a pioneering researcher at the intersection of haptics, magnetorheological (MR) fluids, and robotic-assisted surgery. Her work centers on developing intelligent force-feedback systems for tele-robotic bone biopsy procedures—a critical area where precise tactile information can dramatically improve surgical outcomes. Her most influential contribution is the design and control of MR fluid-based haptic devices that can rapidly and accurately reproduce the wide range of forces encountered during bone biopsy. In her landmark 2018 study (16 citations), she introduced a nonlinear Hammerstein-Wiener estimator to control a novel force generator module, enabling real-time, high-fidelity force feedback. Earlier foundational work demonstrated a prototype actuator capable of generating forces up to 47 N, while her 2015 paper validated the magnetic circuit design using FEMM software. Collectively, her research bridges the gap between advanced fluid dynamics and practical surgical robotics, offering safer, more intuitive tools for minimally invasive procedures. Shokrollahi’s work is essential reading for engineers and clinicians seeking to enhance haptic realism in robot-assisted surgery.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Application of a Nonlinear Hammerstein-Wiener Estimator in the Development and Control of a Magnetorheological Fluid Haptic Device for Robotic Bone Biopsy
16 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of New Brunswick, University of Toronto

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago