Haroon Shakeel

Haroon Shakeel

South Australian Immunogenomics Cancer Institute

Faculty of Health and Medical Sciences

Haroon Shakeel joined SAiGENCI in March 2025, bringing over nine years of experience across academia, research, and industry. His background is rooted in machine learning, deep learning, and natural language processing (NLP), with a research focus on large language models (LLMs) and their applications in healthcare.His interdisciplinary work spans medical imaging, EEG signal processing, NLP, and generative AI. Over the years, Dr. Haroon has contributed to a number of recognized projects that have received national and international awards, including the P@SHA Gold Award, Asia Pacific ICT Alliance Awards, and the AIEF National AI Championship. He has also been acknowledged for his teaching and mentorship, receiving the Outstanding Teacher of the Year Award in 2023 from Forman Christian College (A Chartered University), Lahore, Pakistan.At SAiGENCI, he is involved in developing AI-driven methods to analyze human immunology and single-cell data. His expertise supports efforts to model immune system dynamics and better understand demographic and population-level variations, contributing to the broader goal of advancing precision medicine.

  • Journals
    Year Citation
    2021 Ali, S., Shakeel, M. H., Khan, I., Faizullah, S., & Khan, M. A. (2021). Predicting Attributes of Nodes Using Network Structure. ACM Transactions on Intelligent Systems and Technology, 12(2), 1-23.
    DOI Scopus35 WoS22
    2020 Shakeel, M. H., Karim, A., & Khan, I. (2020). A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts. Information Processing and Management, 57(3), 102204.
    DOI Scopus32 WoS24

  • Conference Papers
    Year Citation
    2020 Shakeel, M. H., & Karim, A. (2020). Adapting deep learning for sentiment classification of code-switched informal short text. In Proceedings of the ACM Symposium on Applied Computing (pp. 903-906). ELECTR NETWORK, Czech Tech Univ: ASSOC COMPUTING MACHINERY.
    DOI Scopus11 WoS11
    2020 Shakeel, M. H., Faizullah, S., Alghamidi, T., & Khan, I. (2020). Language independent sentiment analysis. In 2019 International Conference on Advances in the Emerging Computing Technologies Aect 2019 (pp. 1-5). Al Madinah Al Munawwarah, Saudi Arabia: IEEE.
    DOI Scopus23
    2020 Rizwan, H., Shakeel, M. H., & Karim, A. (2020). Hate-speech and offensive language detection in Roman Urdu. In Emnlp 2020 2020 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference (pp. 2512-2522). ELECTR NETWORK: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
    DOI Scopus83 WoS55
    2019 Shakeel, M. H., Karim, A., & Khan, I. (2019). A multi-cascaded deep model for bilingual SMS classification. In T. Gedeon, K. W. Wong, & M. Lee (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11953 LNCS (pp. 287-298). AUSTRALIA, Sydney: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI Scopus14 WoS11
    2019 Abbas, W., Shakeel, M. H., Khurshid, N., & Taj, M. (2019). Patch-based generative adversarial network towards retinal vessel segmentation. In T. Gedeon, K. W. Wong, & M. Lee (Eds.), Communications in Computer and Information Science Vol. 1142 CCIS (pp. 49-56). AUSTRALIA, Sydney: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI Scopus7 WoS6
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