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Carmel Majidi

Carmel Majidi

· Clarence H. Adamson Professor

Carnegie Mellon University · Civil and Environmental Engineering

Active 2004–2026

h-index75
Citations20.0k
Papers328163 last 5y
Funding$408k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Carmel Majidi is the Principle Investigator at the Soft Machines Lab at Carnegie Mellon University. He holds the position of Clarence H. Adamson Professor at Carnegie Mellon University in Pittsburgh, PA. His research focuses on multifunctional materials, microfluidic electronics, and the integration of soft materials. As a leading figure in his field, he contributes to advancing soft robotics, flexible electronics, and innovative material systems. His work involves developing new materials and devices that combine mechanical flexibility with electronic functionality, aiming to enable new applications in robotics, wearable devices, and biomedical engineering.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Materials science
  • Composite material
  • Engineering
  • Polymer chemistry
  • Chemistry
  • Mechanical engineering
  • Electrical engineering
  • Nanotechnology

Selected publications

  • An electrically conductive silver–polyacrylamide–alginate hydrogel composite for soft electronics

    Nature Electronics · 2021 · 530 citations

    Senior authorCorresponding
  • Wearable Soft Technologies for Haptic Sensing and Feedback

    Advanced Functional Materials · 2020 · 297 citations

    Senior authorCorresponding

    Abstract Virtual reality (VR) and augmented reality (AR) systems have garnered recent widespread attention due to increased accessibility, functionality, and affordability. These systems sense user inputs and typically provide haptic, audio, and visual feedback to blend interactive virtual environments with the real world for an enhanced or simulated reality experience. With applications ranging from immersive entertainment, to teleoperation, to physical therapy, further development of this tech…

  • A self-healing electrically conductive organogel composite

    Nature Electronics · 2023 · 280 citations

    Senior authorCorresponding
  • Cutaneous Ionogel Mechanoreceptors for Soft Machines, Physiological Sensing, and Amputee Prostheses

    Advanced Materials · 2021 · 276 citations

    (≈44 times higher than conventional parallel-plate capacitive counterparts), a broad pressure detection range of over four orders of magnitudes (≈35 Pa to 330 kPa), ultrahigh baseline of capacitance, fast response time (≈18 ms), and good repeatability are demonstrated. Ionogel skins composed of an array of cutaneous mechanoreceptors capable of monitoring various physiological signals and shape detection are further developed. The touch skin can be integrated within a soft bionic hand and provide…

  • Hard questions for soft robotics

    Science Robotics · 2021 · 147 citations

    The establishment of a new academic field is often characterized by a phase of rapid growth, as seen over the last decade in the field of soft robotics. However, such growth can be followed by an equally rapid decline if concerted efforts are not made by the community. Here, we argue that for soft robotics to take root and have impact in the next decade, we must move beyond "soft for soft's sake" and ensure that each study makes a meaningful contribution to the field and, ideally, to robotics an…

Recent grants

Frequent coauthors

  • Mahmoud Tavakoli

    Institute for Systems Engineering and Computers

    42 shared
  • Chengfeng Pan

    Zhejiang University

    24 shared
  • Eric J. Markvicka

    University of Nebraska–Lincoln

    24 shared
  • Anı́bal T. de Almeida

    22 shared
  • Xiaonan Huang

    Second Military Medical University

    21 shared
  • Tess Hellebrekers

    19 shared
  • Andrew P. Sabelhaus

    Boston University

    19 shared
  • Manuel Reis Carneiro

    Carnegie Mellon University

    18 shared

Labs

  • Soft Machines LabPI

    The Soft Machines Lab focuses on the design and fabrication of soft robots and soft machines.

Awards & honors

  • 2026 American Innovator Award
  • Bayh-Dole Coalition’s 2026 Faces of American Innovation repo…

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