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Computer Science

D-Index
65
Citations
42748
World Ranking
2383
National Ranking
1188

Overview

Mohammad Norouzi is affiliated with Google in the United States. Their research primarily lies within the field of Engineering, with a strong focus on Computational Mechanics and related subfields such as Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics, and General Health Professions.

Their body of work includes a variety of topics that emphasize the application of modeling techniques and simulations, including Model Reduction and Neural Networks, Lattice Boltzmann Simulation Studies, Nanofluid Flow and Heat Transfer, Solar-Powered Water Purification Methods, Geothermal Energy Systems and Applications, Aerodynamics and Acoustics in Jet Flows, and Fluid Dynamics and Turbulent Flows.

Among their recent publications, the following stand out:

  • CuO/water and Al2O3/water nanofluids as working fluid in an abandoned oil well to improve thermal performance in the seawater desalination process, 2023, Journal of the Taiwan Institute of Chemical Engineers
  • Optimization the Adhesive Production from Sugar Cane Bagasse, 2020, DOAJ (DOAJ: Directory of Open Access Journals)

Other relevant publications they contributed to, though with primary authorship by others, include:

  • Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach, 2024, Numerical Heat Transfer Part B Fundamentals
  • Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles, 2023, arXiv (Cornell University)
  • Retraction: Design of 1-methylimidazolium tricyanomethanide as the first nanostructured molten salt and its catalytic application in the condensation reaction of various aromatic aldehydes, amides and β-naphthol compared with tin dioxide nanoparticles, 2022, RSC Advances

Norouzi's frequent co-authors include Fathollah Varnik, Ali Mjalled, Reza Namdar, Lucas Reineking, and Martin Mönnigmann. This collaboration network reflects interdisciplinary engagement across computational mechanics and related engineering domains.

The majority of their publications appear in venues such as arXiv (Cornell University), Journal of the Taiwan Institute of Chemical Engineers, Numerical Heat Transfer Part B Fundamentals, RSC Advances, and DOAJ.

Best Publications

  • A Simple Framework for Contrastive Learning of Visual Representations

    Ting Chen;Simon Kornblith;Mohammad Norouzi;Geoffrey Hinton

  • Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

    Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le

  • Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

    Unknown

  • Image Super-Resolution via Iterative Refinement

    Chitwan Saharia;Jonathan Ho;William Chan;Tim Salimans

  • Big Self-Supervised Models are Strong Semi-Supervised Learners

    Ting Chen;Simon Kornblith;Kevin Swersky;Mohammad Norouzi

  • Palette: Image-to-Image Diffusion Models

    Chitwan Saharia;William Chan;Huiwen Chang;Chris A. Lee

  • Neural Combinatorial Optimization with Reinforcement Learning

    Irwan Bello;Hieu Pham;Quoc V. Le;Mohammad Norouzi

  • Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi;Tomas Mikolov;Samy Bengio;Yoram Singer

  • Imagen Video: High Definition Video Generation with Diffusion Models

    Unknown

  • Minimal Loss Hashing for Compact Binary Codes

    Mohammad Norouzi;David M. Blei

  • Hamming Distance Metric Learning

    Mohammad Norouzi;David Fleet;Ruslan R Salakhutdinov

  • QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

    Adams Wei Yu;David Dohan;Minh-Thang Luong;Rui Zhao

  • Detecting Cancer Metastases on Gigapixel Pathology Images

    Yun Liu;Krishna Kumar Gadepalli;Mohammad Norouzi;George Dahl

  • Similarity of Neural Network Representations Revisited

    Simon Kornblith;Mohammad Norouzi;Honglak Lee;Geoffrey E. Hinton

  • Dream to Control: Learning Behaviors by Latent Imagination

    Danijar Hafner;Timothy Lillicrap;Jimmy Ba;Mohammad Norouzi

  • Big Self-Supervised Models Advance Medical Image Classification

    Shekoofeh Azizi;Basil Mustafa;Fiona Ryan;Zachary Beaver

  • Neural audio synthesis of musical notes with WaveNet autoencoders

    Jesse Engel;Cinjon Resnick;Adam Roberts;Sander Dieleman

  • Cascaded Diffusion Models for High Fidelity Image Generation

    Jonathan Ho;Chitwan Saharia;William Chan;David James Fleet

  • Cartesian K-Means

    Mohammad Norouzi;David J. Fleet

  • Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.

    Yun Liu;Timo Kohlberger;Mohammad Norouzi;George E. Dahl

  • Device placement optimization with reinforcement learning

    Azalia Mirhoseini;Hieu Pham;Quoc V. Le;Benoit Steiner

  • An Optimistic Perspective on Offline Reinforcement Learning

    Rishabh Agarwal;Dale Schuurmans;Mohammad Norouzi

Frequent Co-Authors

Dale Schuurmans
Dale Schuurmans University of Alberta
George Tucker
George Tucker Google (United States)
Samy Bengio
Samy Bengio Apple (United States)
David J. Fleet
David J. Fleet University of Toronto
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Quoc V. Le
Quoc V. Le Google (United States)
Jeffrey Dean
Jeffrey Dean Google (United States)
Jonathon Shlens
Jonathon Shlens Google (United States)
George E. Dahl
George E. Dahl Google (United States)

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