Mohammad Nasr Esfahani

Mohammad Nasr Esfahani

Dr

Former affiliation

Accepting PhD Students

PhD projects

- Sensors Safety and Reliability
- Smart Devices for Automotive Engineering
- Advanced Materials for Energy Efficient Systems

Personal profile

Biography

Mohammad Nasr Esfahani is a Lecturer in Mechanical Engineering in the Department of Electronic Engineering since 2019. He received his PhD in 2017 focusing on fabrication and modelling of nanomechanical devices at Koç University, and continued as a Research Fellow in the same research group after achieving the TUBITAK-BIDEB fellowship. Mohammad then joined Warwick Manufacturing Group, University of Warwick, in 2018 lecturing on Solid Mechanics and Finite Element Analysis. He joined the University of York as a Lecturer in Engineering Programme in 2019.  His research interest is directed toward developing materials, devices and systems to solve engineering problems by microsystems and nanodevices. During his research, he has introduced a series of new technologies for high resolution sensors and actuators. Dr. Esfahani demonstrated the application of those technologies to i) new-generation, ultimately small accelerometers, ii) nanoscale frequency references, and iii) a new Micro-Nanoscale integration technique. Accordingly, he has been developing new computational modelling approaches to consider the high surface energy contribution for nanostructures with engineering applications.

Research interests

The primary goal of our research is directed towards understanding premature failure and integrity problems from fundamental characteristics. Our research approach is to improve system reliability and functional safety to prevent unexpected faults and develop a better operational performance. 

Disciplines

• Advanced Materials: 2D Materials, Nanowires, Nanocomposites, Biomaterials

• Microsystems and Nanotechnologies: MEMS/NEMS, Smart Coating, Thin Films

• Computational Modelling: Finite Element Methods, Multiscale Modelling, Molecular Dynamics Simulations


Applications

• Energy: Batteries and Electronic Devices Safety, Machinery Performance

• Biomedical technologies: Biosensors Reliability and Performance, Soft Robots Shape Tracking

• Sensors and Actuators: Sensitive Motion Sensors, High Resolution Signal Generators

Collaborations and top research areas from the last five years

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