Haris Mahboob | Veterinary Science | Best Researcher Award

Dr. Haris Mahboob | Veterinary Science | Best Researcher Award

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.

Muhammad Aleem Abbas Shah | Veterinary Science | Young Scientist Award

Dr. Muhammad Aleem Abbas Shah | Veterinary Science | Young Scientist Award

Researcher | Kyungpook National University | South Korea

Dr. Muhammad Aleem Abbas Shah is a dynamic researcher and academic whose extensive expertise encompasses clinical pharmacology, pharmacokinetics, pharmacodynamics, immunology, and phytomedicine, reflecting a multidisciplinary orientation that bridges biomedical, environmental, and computational domains. After earning his Doctor of Veterinary Medicine (DVM), he continued his academic journey with advanced studies and tenure at Kyungpook National University, complementing his scientific research with educational leadership and methodological instruction in education and psychology. His career includes numerous collaborations in university and research settings, and work as an educator and mentor, enabling a diverse professional experience encompassing laboratory research, public health risk analysis, and academic publishing. Dr. Abbas’s research interests focus on the therapeutic efficacy of botanical extracts in metabolic, inflammatory, and immune-regulated disorders, anti-obesity and antioxidant mechanisms, computational modeling for biomedical applications, and innovations in educational research approaches. His research skills include advanced pharmacological experimentation, gut microbiota studies, animal modeling, statistical analyses, and the development/application of computational tools such as multinomial Naive Bayes models for sentiment analysis and nonlinear analysis in fuzzy metric spaces. He is recognized for research on modulation of immune responses by probiotics, public health investigations on heavy metal residues, and cross-disciplinary advances like wireless portable electrocardiograph system design. Dr. Abbas’s distinctions include participation in international conferences and research collaborations, grant-based projects, and academic awards reflective of his interdisciplinary impact. As of 2025, his scholarly influence is evidenced by 709 citations and an h-index of 12, with 17 documents indexed since 2020 according to Google Scholar, and comparable metrics reported by Scopus. In summary, Dr. Abbas stands out for pioneering multifaceted research in biomedical sciences and education, leveraging integrative skills and global collaborations to advance therapeutic science, public health, and data-driven education.

Featured Publications

M. Abbas, K. A. Memon, A. A. Jamali, S. Memon, & A. Ahmed. (2019). Multinomial Naive Bayes classification model for sentiment analysis. International Journal of Computer Science and Network Security, 19(3), 62. [Cited by 264].​

Y. Quah, S. J. Lee, E. B. Lee, B. T. Birhanu, M. S. Ali, M. A. Abbas, N. Boby, Z. E. Im, … (2020). Cornus officinalis ethanolic extract with potential anti-allergic, anti-inflammatory, and antioxidant activities. Nutrients, 12(11), 3317. [Cited by 61].​

J. G. Augoustides, E. Greenblatt, M. A. Abbas, J. P. O’Reardon, & C. J. Datto. (2002). Clinical approach to agitation after electroconvulsive therapy: a case report and literature review. The Journal of ECT, 18(4), 213-217. [Cited by 34].​

M. A. Abbas, N. Boby, E. B. Lee, J. H. Hong, & S. C. Park. (2022). Anti-obesity effects of Ecklonia cava extract in high-fat diet-induced obese rats. Antioxidants, 11(2), 310. [Cited by 31].​

N. Boby, M. A. Abbas, E. B. Lee, Z. E. Im, W. H. Hsu, & S. C. Park. (2021). Protective effect of Pyrus ussuriensis Maxim. extract against ethanol-induced gastritis in rats. Antioxidants, 10(3), 439. [Cited by 30].​