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Dr.Aditi kajala

Mody University of Science and Technology, Guru Jambheshwar University of Science and Technology, Indian Institute of Technology Delhi

ORCID iD 0000-0001-8281-7986
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About

Dr. Aditi Kajala is a researcher in Artificial Intelligence, Machine Learning, and Healthcare Analytics. Her research focuses on breast cancer diagnosis and prognosis, medical image analysis, explainable AI, and responsible AI frameworks. She has authored multiple research publications, patents, and book chapters in these areas.

Employment

  • Mody University of Science and Technology Assistant Professor
    2001 - 2026

Education

  • Mody University of Science and Technology Ph.D. (Diagnosis, Prognosis and Estimation of Breast Cancer treatment with Machine Learning)
    2019 - 2024
  • Guru Jambheshwar University of Science and Technology M.Tech.
    1999 - 2001
  • Indian Institute of Technology Delhi MSc.
    1997 - 1999
  • NPTEL Domain-Scholar-Artificial Intelligence
    ? - 2025
  • NPTEL Domain-Scholar-Data Science
    ? - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

  • Leveraging Machine Learning for Breast Cancer Prognosis: A Systematic Review
    Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference, DELCON 2024 2024 DOI: 10.1109/DELCON64804.2024.10867085
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  • Breast Cancer Survival Prediction from Imbalanced Dataset with Machine Learning Algorithms
    Mathematical Statistician and Engineering Applications 2022
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  • Breast Cancer Survival Prediction from Imbalanced Dataset with Machine Learning Algorithms
    Mathematical Statistician and Engineering Applications 2022
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  • Classification of Breast Cancer Histopathology Images Using EfficientNet Architectures
    Advances in Information Communication Technology and Computing: Proceedings of AICTC 2021 2022
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  • Classification of Breast Cancer Histopathology Images Using EfficientNet Architectures
    ADVANCES IN INFORMATION COMMUNICATION TECHNOLOGY AND COMPUTING, AICTC 2021 2022 DOI: 10.1007/978-981-19-0619-0_55
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  • Transfer Learning with Convolution Neural Networks Models: An Evolutional Comparison
    Artificial Intelligence and Global Society 2021
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  • Diagnosis of Breast Cancer using Machine Learning Algorithms-A Review
    Proceedings - 2020 International Conference on Emerging Trends in Communication, Control and Computing, ICONC3 2020 2020 DOI: 10.1109/ICONC345789.2020.9117320
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  • Diagnosis of breast cancer using machine learning algorithms-a review
    2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) 2020
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  • Transfiguring of an android app using reverse engineering
    International Journal of Computer Science and Mobile Computing 2014
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  • Technique for template generation for simultaneous testing of multiple identical functional units in super-scalar architecture
    International Journal of Computer Applications 2011
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