World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
22393
World Ranking
2698
National Ranking
100

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Ali Ghodsi is affiliated with the University of Waterloo in Canada and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its applications. Their research encompasses multiple subfields, including computer vision and pattern recognition, molecular biology, statistical and nonlinear physics, and biomedical engineering.

The scientist's work spans several key topics in machine learning and artificial intelligence. These include:

  • Face and Expression Recognition
  • Topic Modeling
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications

Ali Ghodsi has published research in a range of venues, with frequent contributions appearing in:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Proceedings of the VLDB Endowment
  • Nature Machine Intelligence
  • Mathematics and Computers in Simulation

Among recent papers authored or co-authored by Ali Ghodsi are:

  • "Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides" (2021) in Medical Image Analysis
  • "Delta lake" (2020) in Proceedings of the VLDB Endowment
  • "Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices" (2021) in Nature Machine Intelligence
  • "A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression" (2020) in Mathematics and Computers in Simulation
  • "SymbolicGPT: A Generative Transformer Model for Symbolic Regression" (2021) in arXiv (Cornell University)

Their collaborative network includes frequent co-authors such as:

  • Benyamin Ghojogh
  • Mark Crowley
  • Mehdi Rezagholizadeh
  • Fakhri Karray
  • Aref Jafari

Ali Ghodsi's publications reflect a sustained focus on advancing computational techniques and applying neural networks across various scientific and engineering disciplines. Their extensive body of work in computer science totals around 140 publications, with a strong concentration on artificial intelligence and related areas.

Best Publications

  • Apache Spark: a unified engine for big data processing

    Matei Zaharia;Reynold S. Xin;Patrick Wendell;Tathagata Das

  • Mesos: a platform for fine-grained resource sharing in the data center

    Benjamin Hindman;Andy Konwinski;Matei Zaharia;Ali Ghodsi

  • Spark SQL: Relational Data Processing in Spark

    Michael Armbrust;Reynold S. Xin;Cheng Lian;Yin Huai

  • Dominant resource fairness: fair allocation of multiple resource types

    Ali Ghodsi;Matei Zaharia;Benjamin Hindman;Andy Konwinski

  • Information-centric networking: seeing the forest for the trees

    Ali Ghodsi;Scott Shenker;Teemu Koponen;Ankit Singla

  • Less pain, most of the gain: incrementally deployable ICN

    Seyed Kaveh Fayazbakhsh;Yin Lin;Amin Tootoonchian;Ali Ghodsi

  • Effective straggler mitigation: attack of the clones

    Ganesh Ananthanarayanan;Ali Ghodsi;Scott Shenker;Ion Stoica

  • Naming in content-oriented architectures

    Ali Ghodsi;Teemu Koponen;Jarno Rajahalme;Pasi Sarolahti

  • Automatic dimensionality selection from the scree plot via the use of profile likelihood

    Mu Zhu;Ali Ghodsi

  • Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks

    Haoyuan Li;Ali Ghodsi;Matei Zaharia;Scott Shenker

  • PACMan: coordinated memory caching for parallel jobs

    Ganesh Ananthanarayanan;Ali Ghodsi;Andrew Wang;Dhruba Borthakur

  • Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds

    Elnaz Barshan;Ali Ghodsi;Zohreh Azimifar;Mansoor Zolghadri Jahromi

  • Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry.

    Ngoc Hieu Tran;Rui Qiao;Lei Xin;Xin Chen

  • Sentiment analysis based on improved pre-trained word embeddings

    Seyed Mahdi Rezaeinia;Rouhollah Rahmani;Ali Ghodsi;Hadi Veisi

  • Bolt-on causal consistency

    Peter Bailis;Ali Ghodsi;Joseph M. Hellerstein;Ion Stoica

  • Highly available transactions: virtues and limitations

    Peter Bailis;Aaron Davidson;Alan Fekete;Ali Ghodsi

  • Software-defined internet architecture: decoupling architecture from infrastructure

    Barath Raghavan;Martín Casado;Teemu Koponen;Sylvia Ratnasamy

  • Dimensionality Reduction A Short Tutorial

    Ali Ghodsi

  • Eventual consistency today: limitations, extensions, and beyond

    Peter Bailis;Ali Ghodsi

  • Multi-resource fair queueing for packet processing

    Ali Ghodsi;Vyas Sekar;Matei Zaharia;Ion Stoica

  • HTTP as the narrow waist of the future internet

    Lucian Popa;Ali Ghodsi;Ion Stoica

Frequent Co-Authors

Ion Stoica
Ion Stoica University of California, Berkeley
Seif Haridi
Seif Haridi Royal Institute of Technology
Scott Shenker
Scott Shenker University of California, Berkeley
Matei Zaharia
Matei Zaharia University of California, Berkeley
Peter Bailis
Peter Bailis Stanford University
Mohamed S. Kamel
Mohamed S. Kamel University of Waterloo
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Alan Fekete
Alan Fekete University of Sydney
Michael J. Franklin
Michael J. Franklin University of Chicago
Fakhri Karray
Fakhri Karray Mohamed bin Zayed University of Artificial Intelligence

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