World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
22614
World Ranking
2280
National Ranking
1140

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - ACM Fellow For applications of machine learning and for increasing participation of women in computer science.
  • 2014 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to machine learning and its application to science, engineering and medicine, and to increasing the participation of underrepresented groups in computer science.

Overview

Carla E. Brodley is affiliated with Northeastern University in the United States. Their research primarily focuses on computer science and its applications, encompassing areas such as computer science applications, information systems and management, electrical and electronic engineering, gender studies, and communication.

Their work covers diverse topics including teaching and learning programming, radiation effects in electronics, gender and technology in education, social media and politics, scientific computing and data management, distributed and parallel computing systems, and experimental learning in engineering.

Carla E. Brodley has published multiple papers, including:

  • Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X), 2022, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education
  • Why universities must resist GPA-based enrollment caps in the face of surging enrollments, 2022, Communications of the ACM
  • Visualizing Progress in Broadening Participation in Computing: The Value of Context, 2024, Communications of the ACM
  • ACM 2023: CS + X---Challenges and Opportunities in Developing Interdisciplinary-Computing Curricula, 2024, ACM Inroads
  • An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities, 2024, Communications of the ACM

Frequent co-authors of Carla E. Brodley include:

  • Valerie Barr
  • Manuel A. Pérez-Quiñones
  • McKenna Quam
  • Mark Allen Weiss
  • Benjamin Hescott

Frequent publication venues for their work include Communications of the ACM, arXiv (Cornell University), Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, ACM Inroads, and Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2.

Carla E. Brodley has been recognized with several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • ACM Fellow, 2016, for applications of machine learning and for increasing participation of women in computer science
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2014, for significant contributions to machine learning and its application to science, engineering and medicine, and to increasing the participation of underrepresented groups in computer science

Best Publications

  • Decision tree classification of land cover from remotely sensed data

    M.A. Friedl;C.E. Brodley

  • Feature Selection for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Identifying mislabeled training data

    Carla E. Brodley;Mark A. Friedl

  • Random projection for high dimensional data clustering: a cluster ensemble approach

    Xiaoli Zhang Fern;Carla E. Brodley

  • Temporal sequence learning and data reduction for anomaly detection

    Terran Lane;Carla E. Brodley

  • Solving cluster ensemble problems by bipartite graph partitioning

    Xiaoli Zhang Fern;Carla E. Brodley

  • Multivariate Decision Trees

    Carla E. Brodley;Paul E. Utgoff

  • IP covert timing channels: design and detection

    Serdar Cabuk;Carla E. Brodley;Clay Shields

  • ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases

    Chi-Ren Shyu;Carla E. Brodley;Avinash C. Kak;Akio Kosaka

  • Deploying an interactive machine learning system in an evidence-based practice center: abstrackr

    Byron C. Wallace;Kevin Small;Carla E. Brodley;Joseph Lau

  • Maximizing land cover classification accuracies produced by decision trees at continental to global scales

    M.A. Friedl;C.E. Brodley;A.H. Strahler

  • User re-authentication via mouse movements

    Maja Pusara;Carla E. Brodley

  • Semi-automated screening of biomedical citations for systematic reviews

    Byron C. Wallace;Byron C. Wallace;Thomas A. Trikalinos;Joseph Lau;Carla E. Brodley

  • Feature Subset Selection and Order Identification for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Knowledge Discovery and Data Mining

    Unknown

  • Dis-function: Learning distance functions interactively

    Eli T. Brown;Jingjing Liu;Carla E. Brodley;Remco Chang

  • KDD-Cup 2000 organizers' report: peeling the onion

    Ron Kohavi;Carla E. Brodley;Brian Frasca;Llew Mason

  • Multivariate decision trees

    Unknown

  • Identifying and eliminating mislabeled training instances

    Carla E. Brodley;Mark A. Friedl

  • Unsupervised feature selection applied to content-based retrieval of lung images

    J.G. Dy;C.E. Brodley;A. Kak;L.S. Broderick

  • Sequence Matching and Learning in Anomaly Detection for Computer Security

    Terran Lane;Carla E. Brodley

  • Pruning decision trees with misclassification costs

    Jeffrey P. Bradford;Clayton Kunz;Ron Kohavi;Clifford Brunk

  • Proceedings of the Eighteenth International Conference on Machine Learning

    Carla E. Brodley;Andrea Pohoreckyj Danyluk

  • Identifying Mislabeled Training Data

    C. E. Brodley;M. A. Friedl

Frequent Co-Authors

Avinash C. Kak
Avinash C. Kak Purdue University West Lafayette
Byron C. Wallace
Byron C. Wallace Northeastern University
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Mark A. Friedl
Mark A. Friedl Boston University
Orrin Devinsky
Orrin Devinsky New York University
Thomas Thesen
Thomas Thesen New York University
T. N. Vijaykumar
T. N. Vijaykumar Purdue University West Lafayette
Catherine Rosenberg
Catherine Rosenberg University of Waterloo
Ruben Kuzniecky
Ruben Kuzniecky Hofstra University
D. Sculley
D. Sculley Google (United States)

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