World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
23150
World Ranking
6637
National Ranking
2931

Research.com Recognitions

  • 2019 - ACM Distinguished Member
  • 2014 - ACM Presidential Award For outstanding leadership of, and commitment to, the three-year ACM/IEEE-CS effort to produce CS2013  a comprehensive revision of the curricular guidelines for undergraduate programs in computer science

Overview

Mehran Sahami is affiliated with Stanford University in the United States. Their research predominantly lies within the field of Computer Science, encompassing several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Health Informatics, and Industrial and Manufacturing Engineering.

The scientist's work covers multiple main topics related to Artificial Intelligence in Healthcare and Education, AI in Service Interactions, Topic Modeling, Computational Physics and Python Applications, Industrial Vision Systems and Defect Detection, Optical Measurement and Interference Techniques, and Advanced Vision and Imaging.

Mehran Sahami has contributed to several recent papers, reflecting a range of themes and collaboration with various coauthors. The recent papers include:

  • "Should the AP Computer Science A Exam Switch to Using Python?" (2022), published in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
  • "Proposing an Efficient Method for Resource Allocation in the IoT Devices based on Fog Computing in Face Detection Allocations" (2025), published in IETE Technical Review

While Sahami is not the first author on all listed works, the diversity in publication venues illustrates a multidisciplinary approach. Other notable recent papers coauthored or associated with Sahami involve venues such as arXiv (Cornell University) and Perspectives on Science and Christian Faith, with papers including:

  • "System Error: Where Big Tech Went Wrong and How We Can Reboot" (2022), Perspectives on Science and Christian Faith
  • "The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances" (2024), arXiv (Cornell University)
  • "SimGrade: Using Code Similarity Measures for More Accurate Human Grading" (2024), arXiv (Cornell University)

Frequent coauthors working alongside Mehran Sahami include Chris Piech, Rob Reich, Jeremy M. Weinstein, Allen Nie, and Yash Chandak. This collaboration network reflects Sahami's engagement in joint research efforts across various topics within Computer Science.

Publication venues where Sahami regularly appears include:

  • arXiv (Cornell University)
  • Perspectives on Science and Christian Faith
  • Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
  • IETE Technical Review

Among recognized accolades, Sahami has been awarded the ACM Presidential Award in 2014 for leadership and commitment to the ACM/IEEE-CS curriculum revision project (CS2013). They were also named an ACM Distinguished Member in 2019.

Best Publications

  • Supervised and unsupervised discretization of continuous features

    James Dougherty;Ron Kohavi;Mehran Sahami

  • A Bayesian Approach to Filtering Junk E-Mail

    Mehran Sahami;Susan Dumais;David Heckerman;Eric Horvitz

  • Inductive learning algorithms and representations for text categorization

    Susan Dumais;John Platt;David Heckerman;Mehran Sahami

  • Toward optimal feature selection

    Daphne Koller;Mehran Sahami

  • Hierarchically Classifying Documents Using Very Few Words

    Daphne Koller;Mehran Sahami

  • A technique which utilizes a probabilistic classifier to detect "junk" e-mail

    Eric Horvitz;David E. Heckerman;Susan T. Dumais;Mehran Sahami

  • A web-based kernel function for measuring the similarity of short text snippets

    Mehran Sahami;Timothy D. Heilman

  • Deep knowledge tracing

    Chris Piech;Jonathan Bassen;Jonathan Huang;Surya Ganguli

  • Learning limited dependence Bayesian classifiers

    Mehran Sahami

  • Evaluating similarity measures: a large-scale study in the orkut social network

    Ellen Spertus;Mehran Sahami;Orkut Buyukkokten

  • Error-based and entropy-based discretization of continuous features

    Ron Kohavi;Mehran Sahami

  • Generating user information for use in targeted advertising

    Krishna Bharat;Stephen Lawrence;Mehran Sahami

  • Methods and apparatus for classifying text and for building a text classifier

    Susan T. Dumais;David Heckerman;Eric Horvitz;John Carlton Platt

  • Text Mining: Classification, Clustering, and Applications

    Ashok Srivastava;Mehran Sahami

  • Reflections on Stanford's MOOCs

    Steve Cooper;Mehran Sahami

  • Deep Knowledge Tracing

    Chris Piech;Jonathan Spencer;Jonathan Huang;Surya Ganguli

  • Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

    Paulo Blikstein;Marcelo Worsley;Chris Piech;Mehran Sahami

  • Modeling how students learn to program

    Chris Piech;Mehran Sahami;Daphne Koller;Steve Cooper

  • Probe, count, and classify: categorizing hidden web databases

    Panagiotis G. Ipeirotis;Luis Gravano;Mehran Sahami

  • Customizable media channels

    Richard C. Gossweiler;Mehran Sahami;Manish G. Patel;John Blackburn

Frequent Co-Authors

Richard Carl Gossweiler
Richard Carl Gossweiler Google (United States)
Sanjay Ghemawat
Sanjay Ghemawat Google (United States)
Panagiotis G. Ipeirotis
Panagiotis G. Ipeirotis New York University
Luis Gravano
Luis Gravano Columbia University
Shumeet Baluja
Shumeet Baluja Google (United States)
John Platt
John Platt Google (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Daphne Koller
Daphne Koller insitro Inc.

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