Amir Nasrollahi is a postdoctoral fellow at the Structures and Composites Laboratory (SACL) in the Department of Aeronautics and Astronautics of Stanford University. He earned his Ph.D. from the Department of Civil and Environmental Engineering of the University of Pittsburgh in 2018, where he served as a postdoctoral associate from Jan. to Sept. 2019.

Amir Nasrollahi’s research interests are Li-ion Batteries, Multifunctional Materials, smart materials and structures, Nondestructive Evaluation, Structural Health Monitoring, sensor networks, stress wave propagation, metamaterials, computational acoustics, and vibration and acoustics.

Honors & Awards

  • Outstanding Paper Award, American Society of Mechanical Engineering (ASME) (2020)
  • Fellowship Award, American Society for Nondestructive Testing (ASNT) (2015)

Professional Education

  • Postdoctoral, Stanford University, Aeronautics and Astronautics (2019)
  • Postdoctoral, University of Pittsburgh, Civil and Environmental Engineering (2019)
  • Ph.D., University of Pittsburgh, Civil and Environmental Engineering (2018)

Stanford Advisors

All Publications

  • Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach. Sensors (Basel, Switzerland) Liu, C., Zhuang, Y., Nasrollahi, A., Lu, L., Haider, M. F., Chang, F. K. 2020; 20 (10)


    Tactile sensing is paramount for robots operating in human-centered environments to help in understanding interaction with objects. To enable robots to have sophisticated tactile sensing capability, researchers have developed different kinds of electronic skins for robotic hands and arms in order to realize the 'sense of touch'. Recently, Stanford Structures and Composites Laboratory developed a robotic electronic skin based on a network of multi-modal micro-sensors. This skin was able to identify temperature profiles and detect arm strikes through embedded sensors. However, sensing for the static pressure load is yet to be investigated. In this work, an electromechanical impedance-based method is proposed to investigate the response of piezoelectric sensors under static normal pressure loads. The smart skin sample was firstly fabricated by embedding a piezoelectric sensor into the soft silicone. Then, a series of static pressure tests to the skin were conducted. Test results showed that the first peak of the real part impedance signal was sensitive to static pressure load, and by using the proposed diagnostic method, this test setup could detect a resolution of 0.5 N force. Numerical simulation methods were then performed to validate the experimental results. The results of the numerical simulation prove the validity of the experiments, as well as the robustness of the proposed method in detecting static pressure loads using the smart skin.

    View details for DOI 10.3390/s20102830

    View details for PubMedID 32429364