Abbas Rahimi  Abbas Rahimi photo         

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Academy of Technology LogoResearch Staff Member
Zurich Research Laboratory, Zurich, Switzerland


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More information:  Google Scholar  |  Neuromorphic and In-memory Computing



Research Interests:

My research interests lie in codesigning emerging algorithms and hardware systems with an emphasis on improving energy efficiency and robustness. These include brain-inspired hyperdimensional computing, neuro-symbolic AI, distributed intelligent systems, and in general approximation opportunities in computation, communication, sensing, and storage systems.

Short Biography:

I received the B.S. degree in computer engineering from the University of Tehran in 2010, and the M.S. and Ph.D. degrees in computer science and engineering from the University of California San Diego in 2015, followed by postdoctoral researches at the University of California Berkeley, and at the ETH Zürich. In 2020, I have joined the IBM Research-Zürich laboratory as a Research Staff Member.

I received the 2015 Outstanding Dissertation Award in the area of "New Directions in Embedded System Design and Embedded Software'' from the European Design and Automation Association, and the ETH Zürich Postdoctoral Fellowship in 2017. I was a co-recipient of the Best Paper Nominations at DAC (2013) and DATE (2019), and the Best Paper Awards at BICT (2017), BioCAS (2018), and IBM's Pat Goldberg Memorial (2020).

Selected Publications:

Nature Electronics Cover

Research in the News:

This AI could likely beat you at an IQ test

In-memory physical superposition meets few-shot continual learning

Mimicking the brain: Deep learning meets vector-symbolic AI

The best of both worlds: Deep learning meets vector-symbolic architectures

High-five or thumbs-up? New device detects which hand gesture you want to make

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing