Mr. Islam Omar | Image Classification | AI in Astro Bio Award
New Mexico State University | United States
Mr. Islam Omar is an applied machine learning and data science researcher whose work spans geospatial analytics, environmental informatics, medical imaging, and network systems. He has published in venues including IEEE HPEC, Optics and Lasers in Engineering, Medical Principles and Practice, and major geoscience conferences. According to Google Scholar, he has 10 publications, 6 citations, and an h-index of 1. His research demonstrates the effectiveness of ensemble and deep learning models for prostate cancer risk prediction, UAV-based 2D building detection, short-term drought impact forecasting, and smart network traffic prediction. These contributions highlight methodological rigor in preprocessing, model comparison, and performance evaluation, advancing practical decision support across health, climate resilience, and infrastructure analytics with reproducible workflows and transparent validation protocols approaches.
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Featured Publications
A Comparison of Systematic, Targeted, and Combined Biopsy Using Machine Learning for Prediction of Prostate Cancer Risk: A Multi-Center Study
– M.A. Arafa, I. Omar, K.H. Farhat, M. Elshinawy, F. Khan, F.A. Alkhathami, et al. · Medical Principles and Practice, 2024 · Cited by 5
An automated system for 2D building detection from UAV-based geospatial datasets
– A. Elaksher, I. Omar, D. Sanjenis, J.R. Velasco, M. Lao · Optics and Lasers in Engineering, 2025 · Cited by 1
Automated Lunar Crater Detection with Edge-Based Feature Extraction and Robust Ellipse Refinement
– A. Elaksher, I. Omar, F. Ahmad · Aerospace, 2026
Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts
– H.M.E. Geli, I. Omar, M.Y. Elshinawy, D.W. DuBios, L. Prehodko, K.H. Smith, et al. · arXiv preprint, 2025
Classical and Modern Machine Learning Techniques for Drought Impacts Prediction in New Mexico
– I. Omar · New Mexico State University, 2025