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Abdelrahman Mohamed

Speech researcher; co-author of wav2vec 2.0 and HuBERT at Facebook AI Research

Abdelrahman Mohamed's homepage describes joining Facebook AI Research (FAIR) as a research scientist in September 2018, after work as a principal scientist manager on Amazon's Alexa AI team and, from 2014 to 2017, as a researcher at Microsoft Research. Mohamed's research spans deep learning, spoken language processing, and natural language understanding. At Facebook AI, Mohamed co-authored wav2vec 2.0, a framework for self-supervised learning of speech representations, and is the last author of HuBERT, a self-supervised speech representation model.1234

At a glance

Current role
None confirmed in the sources
Education
Toronto
Work listed
2
Honors
1
Sources cited
4
Profile reviewed

Career

Abdelrahman Mohamed completed a PhD at the University of Toronto with Gerald Penn and Geoffrey Hinton, as part of the team that began applying deep learning to spoken language processing in 2009. Mohamed was a researcher at Microsoft Research from 2014 to 2017 and then a principal scientist manager on Amazon's Alexa AI team.1

In September 2018 Mohamed joined Facebook AI Research (FAIR) as a research scientist. Mohamed's research interests span deep learning, spoken language processing and natural language understanding.1

Research

Mohamed's early papers with George Dahl and Geoffrey Hinton used deep belief networks for phone recognition and acoustic modeling, and Mohamed co-authored "Speech recognition with deep recurrent neural networks" with Alex Graves and Hinton at ICASSP 2013. The paper "Convolutional Neural Networks for Speech Recognition," co-authored by Mohamed, received the IEEE Signal Processing Society Best Paper Award for 2016.1

Mohamed's work has also covered program synthesis, including RobustFill and neuro-symbolic program synthesis (both 2017), and analysis of how deep networks learn. At Facebook AI, Mohamed co-authored wav2vec 2.0 (2020), a framework for self-supervised learning of speech representations, and was last author of HuBERT (2021), which learns speech representations by masked prediction of hidden units.1234

Work and contributions

  • wav2vec 2.0 Published research

    Co-author, with Alexei Baevski, Henry Zhou, and Michael Auli, of wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (2020); the paper lists the authors at Facebook AI.23

  • HuBERT Published research

    Last author of HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021), with Wei-Ning Hsu as first author.4

Timeline

  1. Presented work on deep belief networks for phone recognition at a NIPS 2009 workshop with George Dahl and Geoffrey Hinton.1
  2. Co-authored "Speech recognition with deep recurrent neural networks" with Alex Graves and Geoffrey Hinton at ICASSP 2013.1
  3. Joined Microsoft Research as a researcher, staying until 2017.1
  4. A co-authored paper on convolutional neural networks for speech recognition received the IEEE Signal Processing Society Best Paper Award for 2016.1
  5. Joined Facebook AI Research as a research scientist.1
  6. Co-authored the wav2vec 2.0 paper on self-supervised speech representation learning.2
  7. Published HuBERT, on masked prediction of hidden units for speech, as last author.4

Documented roles

The sources do not confirm a current role; these are the roles they document.

Honors and recognition

  • IEEE Signal Processing Society Best Paper Award (2016), for "Convolutional Neural Networks for Speech Recognition" · IEEE Signal Processing Society, 20161

Companies in their history

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References

4 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Abdelrahman Mohamed — homepageAbdelrahman Mohamed · Official page · accessed Oct 21, 2026
  2. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (arXiv 2006.11477)arXiv · Paper · published Jun 20, 2020 · accessed Oct 21, 2026
  3. wav2vec 2.0 — paper PDF (author affiliation: Facebook AI)arXiv · Paper · published Jun 20, 2020 · accessed Oct 21, 2026
  4. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (arXiv 2106.07447)arXiv · Paper · published Jun 14, 2021 · accessed Oct 21, 2026