Pranav Mamidanna

Pranav Mamidanna

PhD Candidate in Biomedical Engineering

Aalborg University

I am a PhD candidate, developing closed-loop interfaces for EMG-driven hand prostheses by combining algorithms that faithfully decode user intention with intuitive tactile feedback. I am interested in developing ML algorithms for a healthier society!

I am currently working in the lab of Strahinja Dosen at the Health Science and Technology Department in Aalborg University, Denmark. I was previously a research assistant in the lab of Matthias Bethge, where I worked on neural network models of the proprioceptive system with Alexander Mathis.

Interests
  • ML for healthcare and medicine
  • Personalized medicine
  • Algorithmic fairness
  • Translational research
  • Assistive technology
  • Neuroprosthetics
Education

  • PhD in Biomedical Engineering*, 2019 –

    Aalborg University, Denmark

  • MS in Applied and Engineering Mathematics, 2015–17

    KTH Royal Institute of Technology, Sweden

  • B.Tech Chemical Engineering, 2010–14

    Jawaharlal Nehru Technological Univeristy, India

Selected Publications

Estimating Speed-Accuracy Trade-offs to Evaluate and Understand Closed-Loop Prosthesis Interfaces
Objective: Closed loop prosthesis interfaces, combining electromyography (EMG) based control with non invasive supplementary feedback, …
Pranav Mamidanna, Jakob Lund Dideriksen, Strahinja Dosen
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The impact of objective functions on control policies in closed-loop control of grasping force with a myoelectric prosthesis
Supplemental sensory feedback for myoelectric prostheses can provide both psychosocial and functional benefits during prosthesis …
Pranav Mamidanna, Jakob Lund Dideriksen, Strahinja Dosen
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Contrasting action and posture coding with hierarchical deep neural network models of proprioception
Biological motor control is versatile and efficient. Muscles are flexible and undergo continuous changes requiring distributed adaptive …
Pranav Mamidanna, Kai J Sandbrink, Claudio Michaelis, Mackenzie Weygandt Mathis, Matthias Bethge, Alexander Mathis
PDF Cite DOI Project Website
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Talks

Skill acquisition in prosthesis force control with supplementary EMG Feedback
Supplementary feedback interfaces for myoelectric prostheses enable users to learn, plan and execute the movements for controlling …
Pranav Mamidanna, Shima Gholinezhad, Jakob Lund Dideriksen, Strahinja Dosen
Jun 19, 2022

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