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Lalana Kagal

Lalana Kagal

D-Index & Metrics

Computer Science

D-Index
40
Citations
10100
World Ranking
9110
National Ranking
3871

Overview

Lalana Kagal is affiliated with MIT in the United States and specializes in the field of Computer Science. Their research contributions focus notably on Artificial Intelligence, Information Systems, and subfields including Computer Vision and Pattern Recognition as well as Information Systems and Management. The work broadly spans Privacy-Preserving Technologies in Data, Cryptography and Data Security, and Blockchain Technology Applications and Security.

The scientist's publication record includes works primarily disseminated through venues such as arXiv (Cornell University), the 2022 IEEE International Conference on Big Data, and IEEE Internet Computing. Their research output features both conferences and preprint repositories.

  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Big Data (Big Data)
  • IEEE Internet Computing

Key recent papers authored or co-authored by Lalana Kagal cover topics related to federated learning, bias in image classification, and synthetic data generation. These include:

  • BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning, 2020, arXiv (Cornell University)
  • Investigating Bias in Image Classification using Model Explanations, 2020, arXiv (Cornell University)
  • Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets, 2021, arXiv (Cornell University)
  • Overcoming Challenges of Synthetic Data Generation, 2022, 2022 IEEE International Conference on Big Data (Big Data)

Frequent collaborators in their research include Vaikkunth Mugunthan, Oshani Seneviratne, Ravi Rahman, William Van Woensel, and Floriano Scioscia. These associations reflect ongoing work within collaborative networks focused on evolving technologies in machine learning and data privacy.

  • Vaikkunth Mugunthan
  • Oshani Seneviratne
  • Ravi Rahman
  • William Van Woensel
  • Floriano Scioscia

Their scholarly interests also emphasize Explainable Artificial Intelligence (XAI), Machine Learning applications in healthcare, and Recommender Systems and Techniques, illustrating a breadth of focus that bridges foundational methods and applied domains.

Best Publications

  • Explaining Explanations: An Overview of Interpretability of Machine Learning

    Leilani H. Gilpin;David Bau;Ben Z. Yuan;Ayesha Bajwa

  • A policy language for a pervasive computing environment

    L. Kagal;T. Finin;Anupam Joshi

  • A policy based approach to security for the semantic web

    Lalana Kagal;Tim Finin;Anupam Joshi

  • Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence

    Midas Nouwens;Ilaria Liccardi;Michael Veale;David Karger

  • Trust-based security in pervasive computing environments

    L. Kagal;T. Finin;A. Joshi

  • Intelligent agents meet the semantic Web in smart spaces

    H. Chen;T. Finin;Anupam Joshi;L. Kagal

  • The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I

    Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor

  • N3logic: A logical framework for the world wide web

    Tim Berners-lee;Dan Connolly;Lalana Kagal;Yosi Scharf

  • ROWLBAC: representing role based access control in OWL

    T. Finin;A. Joshi;L. Kagal;J. Niu

  • Authorization and privacy for semantic Web services

    L. Kagal;T. Finin;M. Paolucci;Navcen Srinivasan

  • Security for DAML web services: annotation and matchmaking

    Grit Denker;Lalana Kagal;Tim Finin;Massimo Paolucci

  • Rei : A Policy Language for the Me-Centric Project

    Lalana Kagal

  • A semantic context-aware access control framework for secure collaborations in pervasive computing environments

    Alessandra Toninelli;Rebecca Montanari;Lalana Kagal;Ora Lassila

  • The Semantic Web - ISWC 2013

    Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth

  • Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning

    Leilani H. Gilpin;David Bau;Ben Z. Yuan;Ayesha Bajwa

  • ITtalks: a case study in the Semantic Web and DAML+OIL

    R.S. Cost;T. Finin;A. Joshi;Yun Peng

  • Centaurus: a framework for intelligent services in a mobile environment

    L. Kagal;V. Korolev;H. Chen;Anupam Joshi

  • Using semantic web technologies for policy management on the web

    Lalana Kagal;Tim Berners-Lee;Dan Connolly;Daniel Weitzner

  • Security in the Semantic Web using OWL

    Grit Denker;Lalana Kagal;Tim Finin

  • Modeling conversation policies using permissions and obligations

    Lalana Kagal;Tim Finin

Frequent Co-Authors

Tim Finin
Tim Finin University of Maryland, Baltimore County
Anupam Joshi
Anupam Joshi University of Maryland, Baltimore County
Tim Berners-Lee
Tim Berners-Lee University of Oxford
Yun Peng
Yun Peng University of Maryland, Baltimore County
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Yelena Yesha
Yelena Yesha University of Miami
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Lora Aroyo
Lora Aroyo Google (United States)
Harith Alani
Harith Alani The Open University
Deborah L. McGuinness
Deborah L. McGuinness Rensselaer Polytechnic Institute

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