Amin Ebrahimzadeh
Institut National de la Recherche Scientifique, Concordia University
Papers
10
Total Citations
208
H-Index
6
About
Amin Ebrahimzadeh is a researcher at the forefront of next-generation communication systems, with a particular focus on the Tactile Internet, remote robotic systems, and human-machine collaboration. His work explores how ultra-low-latency networks can bridge the physical and digital worlds, enabling transformative applications ranging from tele-manufacturing to remote robotic surgery. Among his most influential contributions is his foundational work on the Tactile Internet, examining its role in automating and augmenting human capabilities — a paper that has garnered 58 citations since 2018. He has also shaped thinking around the "Internet of No Things," a compelling vision of ambient, invisible communication technology that draws users back into their physical environments, earning 46 citations. His practical contributions include a machine learning framework addressing packet loss and latency in remote robotic surgery — a critical challenge for 5G-enabled healthcare — cited 27 times. Ebrahimzadeh's research spans task scheduling for human-robot hybrid teams, blockchain-based decentralization of Tactile Internet infrastructure, and virtual network function placement for surgical applications. Together, his body of work positions him as a thoughtful innovator connecting cutting-edge networking theory to real-world human-centered applications, making him essential reading for researchers in 5G, robotics, and future internet architectures.
Research Focus
Key Achievements
Top Papers
- 1The Tactile Internet: Automation or Augmentation of the Human?58 citations · 2018
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- 5The Way of the DAO: Toward Decentralizing the Tactile Internet20 citations · 2021
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- 7Remote Robotic Surgery: Joint Placement and Scheduling of VNF-FGs6 citations · 2022
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