World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5984
World Ranking
8104
National Ranking
3472

Overview

Abbas Rahimi is affiliated with IBM in the United States and has a significant body of research contributions in computer science and engineering fields. Their research focuses primarily on advanced memory and neural computing, ferroelectric and negative capacitance devices, and neural networks, with additional work spanning artificial intelligence and computer vision.

Their recent publications feature research in several well-known scientific venues. Notable papers include:

  • "A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition" (2020, Nature Electronics)
  • "In-memory hyperdimensional computing" (2020, Nature Electronics)
  • "Constrained Few-shot Class-incremental Learning" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  • "A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations" (2022, ACM Computing Surveys)
  • "Robust high-dimensional memory-augmented neural networks" (2021, Nature Communications)

Rahimi frequently collaborates with several researchers across multiple studies. Key co-authors include Abu Sebastian, Michael Hersche, Luca Benini, Geethan Karunaratne, and Giacomo Camposampiero.

The scientist's body of work appears predominantly in the following publication venues:

  • arXiv (Cornell University)
  • Nature Machine Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Electronics
  • ACM Computing Surveys

Rahimi's principal fields of study encompass computer science and engineering. More specialized subfields consist of electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, general health professions, and materials chemistry.

The research topics explored in their publications emphasize:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Domain Adaptation and Few-Shot Learning
  • Neural Networks and Applications
  • Multimodal Machine Learning Applications
  • EEG and Brain-Computer Interfaces

Best Publications

  • A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

    Ali Moin;Andy Zhou;Abbas Rahimi;Alisha Menon

  • A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing

    Abbas Rahimi;Pentti Kanerva;Jan M. Rabaey

  • In-memory hyperdimensional computing

    Geethan Karunaratne;Geethan Karunaratne;Manuel Le Gallo;Giovanni Cherubini;Luca Benini

  • VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition

    Mohsen Imani;Deqian Kong;Abbas Rahimi;Tajana Rosing

  • Exploring Hyperdimensional Associative Memory

    Mohsen Imani;Abbas Rahimi;Deqian Kong;Tajana Rosing

  • Constrained Few-shot Class-incremental Learning

    Unknown

  • Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition

    Abbas Rahimi;Simone Benatti;Pentti Kanerva;Luca Benini

  • Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals

    Abbas Rahimi;Pentti Kanerva;Luca Benini;Jan M. Rabaey

  • High-Dimensional Computing as a Nanoscalable Paradigm

    Abbas Rahimi;Sohum Datta;Denis Kleyko;Edward Paxon Frady

  • A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters

    Abbas Rahimi;Igor Loi;Mohammad Reza Kakoee;Luca Benini

  • Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition

    Haitong Li;Tony F. Wu;Abbas Rahimi;Kai-Shin Li

  • Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study

    Tony F. Wu;Haitong Li;Ping-Chen Huang;Abbas Rahimi

  • Resistive configurable associative memory for approximate computing

    Mohsen Imani;Abbas Rahimi;Tajana S. Rosing

  • Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics

    Denis Kleyko;Abbas Rahimi;Dmitri A. Rachkovskij;Evgeny Osipov

  • A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations.

    Denis Kleyko;Dmitri A. Rachkovskij;Evgeny Osipov;Abbas Rahimi

  • An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

    Ali Moin;Andy Zhou;Abbas Rahimi;Simone Benatti

  • Robust high-dimensional memory-augmented neural networks.

    Geethan Karunaratne;Geethan Karunaratne;Manuel Schmuck;Manuel Schmuck;Manuel Le Gallo;Giovanni Cherubini

  • Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms

    Alessio Burrello;Lukas Cavigelli;Kaspar Schindler;Luca Benini

  • A neuro-vector-symbolic architecture for solving Raven’s progressive matrices

    Unknown

  • One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing

    Alessio Burrello;Kaspar Schindler;Luca Benini;Abbas Rahimi

  • Axilog: language support for approximate hardware design

    Amir Yazdanbakhsh;Divya Mahajan;Bradley Thwaites;Jongse Park

  • Approximate associative memristive memory for energy-efficient GPUs

    Abbas Rahimi;Amirali Ghofrani;Kwang-Ting Cheng;Luca Benini

  • Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory

    Manuel Schmuck;Luca Benini;Abbas Rahimi

  • Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials

    Abbas Rahimi;Artiom Tchouprina;Pentti Kanerva;José del R. Millán

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Tajana Rosing
Tajana Rosing University of California, San Diego
Mohsen Imani
Mohsen Imani University of California, San Diego
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Kaspar Schindler
Kaspar Schindler University of Bern
Ana Claudia Arias
Ana Claudia Arias University of California, Berkeley
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Hadi Esmaeilzadeh
Hadi Esmaeilzadeh University of California, San Diego

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