Saleh Gharaie
Deakin University, NewYork–Presbyterian Hospital, Cornell University
Papers
10
Total Citations
349
H-Index
7
About
Saleh Gharaie is a leading researcher at the intersection of 4D printing, soft robotics, and intelligent manufacturing. His work is pioneering the next generation of adaptive, programmable structures that change shape over time in response to external stimuli. Gharaie’s most impactful contribution is the introduction of **control-based 4D printing**, a paradigm shift that integrates feedback mechanisms into printed materials to create truly adaptive systems—a concept detailed in his highly cited 2020 paper (99 citations). He has further advanced the field by combining 4D printing with machine learning and finite element modeling to guide the development of soft robots (118 citations), and by creating silicon-based soft parallel robots with multiphysics analysis (50 citations). His practical innovations include a bioinspired compliant 3D-printed soft gripper (30 citations) and a method for directly 3D printing highly stretchable silicone structures (26 citations), which have broad applications in medical devices and flexible electronics. With a portfolio of work spanning inflatable stents, remote ultrasound robotic systems, and bio-mimetic fish robots, Gharaie’s research is not only highly cited but also directly translational, pushing the boundaries of what is possible in adaptive manufacturing and soft robotics.
Research Focus
Key Achievements
Top Papers
- 14D printing soft robots guided by machine learning and finite element models118 citations · 2021
- 2Control-Based 4D Printing: Adaptive 4D-Printed Systems99 citations · 2020
- 3Silicon-based soft parallel robots 4D printing and multiphysics analysis50 citations · 2022
- 4A Bioinspired Compliant 3D-Printed Soft Gripper30 citations · 2021
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- 10Modeling and Control of an Innovative Soft Robotic Ultrasound System1 citations · 2024