Mohammad Elahinia

University of Toledo, Virginia Tech

Papers

16

Total Citations

604

H-Index

11

About

Mohammad Elahinia is a pioneering researcher in the field of shape memory alloys (SMAs), with particular expertise in constitutive modeling, control systems, and biomedical applications of these remarkable smart materials. His most influential contributions began in 2004–2005 with a landmark series of papers developing enhanced phenomenological models for SMA behavior — work that exposed critical shortcomings in existing thermomechanical models and proposed more accurate frameworks for predicting SMA response under simultaneous temperature and stress changes, collectively accumulating nearly 180 citations. These foundational modeling efforts directly enabled his groundbreaking control work, including backstepping controllers for SMA-actuated robotic arms and stable walking patterns for SMA-driven biped robots. Elahinia's research took an important humanitarian turn through his development of assistive and rehabilitation technologies. His ASR glove — a lightweight, SMA-actuated hand exoskeleton — has garnered 78 citations and represents a significant advance in wearable robotics for patients with hand impairments. His 2019 review of NiTi applications in rehabilitation devices (89 citations) has become an essential reference in the biomedical engineering community. Spanning fundamental materials science, nonlinear control theory, and human-centered robotics, Elahinia's body of work — with over 580 cumulative citations — has profoundly shaped how engineers design, model, and deploy SMA-based systems in both industrial and clinical settings.

Research Focus

Key Achievements

11
H-Index
16
Papers
604
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
An enhanced SMA phenomenological model: I. The shortcomings of the existing models
109 citations · 2005
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Toledo, Virginia Tech

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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