Feb 2023: Published 'Cell Type Annotation Model Selection...' in Genes, 14(3):596
Jun 2022: Published survey 'Applications of deep learning in disease diagnosis of chest radiographs...' in Biomedical Engineering Advances
Jan 2022: Published 'Discovering Cell Types Using Manifold Learning...' in Scientific Reports, 12:120
Oct 2021: Keynote talk at IEEE IEMCON 2021: 'How Self-organizing Maps Empower Convolutional Neural Networks'
Aug 2021: Published 'Identification of Enriched Regions in ChIP-seq Data...' in IEEE/ACM TCBB
Apr 2021: Published 'Spam Review Detection Using Self-organizing Maps and CNNs' in Computers & Security
Supervised successful MSc thesis defenses of students including Shanu Kumar, Yash Trivedi, Sheena Hora, and Saiteja Danda
Background
Full Professor at the School of Computer Science, University of Windsor, Canada (since 2013)
Research focuses on fundamental shallow and deep machine learning and representation learning algorithms, with applications in bioinformatics and cybersecurity
Application areas include protein-protein interaction, transcriptomics, integrative genome-wide analysis, cancer biomarker identification, user authentication, spam review detection, and social engineering
Senior Member of IEEE, member of IAPR and ISCB
Associate Editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics
Member of IAPR TC-20 (Technical Committee on Pattern Recognition for Bioinformatics) and program committees of multiple conferences
Principal investigator of the Machine Learning in Bioinformatics Lab at the University of Windsor