Student | National University of Sciences & Technology | Pakistan
Haris Mahboob is a dedicated and multidisciplinary researcher working across artificial intelligence, healthcare, molecular medicine, and veterinary biology, with a strong focus on integrating machine learning and deep learning into biomedical research. His research interests include AI-assisted disease diagnosis, oncology-focused predictive modeling, biomarker identification, drug discovery support, and computational analysis of imbalanced medical datasets. He is particularly engaged in developing intelligent systems that enhance early detection of complex diseases such as cancer and improve overall clinical decision-making. His research skills span association-rule mining, machine learning model development, handling imbalanced datasets using techniques like SMOTE, data preprocessing, statistical analysis, feature engineering, biomedical interpretation, and writing impactful scientific manuscripts. Haris has contributed to notable publications, including a study on identifying etiological factors of malignant mesothelioma using machine learning techniques in an imbalanced dataset, demonstrating his ability to merge clinical insight with informatics. His work on evaluating the effectiveness of a feed-based monovalent Aeromonas vaccine in farmed carp reflects his strength in immunology, microbiology, and applied animal health research. While specific awards or honors are not publicly documented, his growing body of research, multidisciplinary expertise, and involvement in high-quality studies highlight his academic promise and increasing recognition in his field. Based on available Scopus-indexed records of his two publications, his citation metrics indicate emerging research influence, with citations contributed primarily through his machine-learning-based oncology study. Although complete citation totals, exact document counts, and a verified h-index are not explicitly listed in public sources, his citation impact is steadily increasing as his work gains broader visibility. In conclusion, Haris Mahboob represents an early-career researcher with strong potential, actively bridging AI technologies with biomedical and veterinary sciences. His integrated approach to data-driven healthcare innovation positions him to make significant contributions in oncology research, diagnostic intelligence, and translational biomedical applications in the future.
Profiles: Scopus | ORCID | Google Scholar | LinkedIn
Featured Publications
Alam, T. M., Shaukat, K., Mahboob, H., Sarwar, M. U., Iqbal, F., Nasir, A., Hameed, I. A., & Luo, S. (2022). A machine learning approach for identification of malignant mesothelioma etiological factors in an imbalanced dataset. The Computer Journal, 65(7), 1740–1751.
Mubeen, N., Abbas, F., Hafeez-ur-Rehman, M., Crumlish, M., Mahboob, H., Akmal, M., Sadiqa, A., Alam, T. M., & Jalil, S. (2025). Effectiveness of feed-based monovalent Aeromonas vaccine in farmed carp. Microorganisms, 13(8), 1903.
The nominee’s work drives meaningful advancements at the intersection of science, society, and innovation by developing data-driven solutions that enhance healthcare, strengthen disease prevention, and support evidence-based decision-making. Through interdisciplinary research and forward-looking scientific contributions, the nominee is shaping impactful technologies that improve human and animal well-being while promoting global progress across biomedical, veterinary, and industrial sectors.