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Matloob has over 2 decades of industry and academic experience. He completed his PhD in AI and Data Science from the University of Sydney, Australia in which he developed novel algorithms for understanding big genomic data. Dr. Khushi has earned various awards for his research achievements and has authored more than 70 research papers. During his postdoc (2014-2017) at the Children’s Medical Research Institute, Australia, he developed automated AI-based algorithms for expediting the drug discovery process. He has also developed solutions for the financial industry such as portfolio management, prediction of stock, forex and commodities markets. Dr. Khushi has supervised more than 100 research theses in various domains of AI and data mining and is always willing to supervise very talented PhD candidates.

Newest selected publications

Naseem, U., Dunn, AG., Kim, J. and Khushi, M. (2022) 'Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification'.WWW '22: The ACM Web Conference 2022. ACM. pp. 2563 - 2572.

Conference paper

Naseem, U., Dunn, AG., Khushi, M. and Kim, J. (2022) 'Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT'. BMC Bioinformatics, 23 (1). pp. 1 - 15. ISSN: 1471-2105 Open Access Link

Journal article

He, J., Tran, NH. and Khushi, M. (2022) 'Stock Predictor with Graph Laplacian-Based Multi-task Learning'. Springer International Publishing. pp. 541 - 553. ISSN: 0302-9743

Conference paper

Khushi, M., Clarke, CL. and Graham, JD. (2014) 'Bioinformatic analysis of cis-regulatory interactions between progesterone and estrogen receptors in breast cancer'. PeerJ, 2 (1). pp. 1 - 20. ISSN: 2167-8359 Open Access Link

Journal article
More publications(4)