Basheer Qolomany is an Assistant Professor of Artificial Intelligence and Computational Medicine at Howard University College of Medicine. His interdisciplinary research integrates artificial intelligence, network science, evolutionary computation, and data analytics to address complex challenges in healthcare, cybersecurity, population health, and intelligent digital systems.

Dr. Qolomany’s work focuses on developing advanced AI-driven models using machine learning, deep learning, natural language processing, swarm intelligence, and computational optimization techniques. His research aims to improve predictive analytics, intelligent decision-making, and adaptive systems across diverse application domains including computational medicine, digital health, smart services, and cyber-physical infrastructures.

A major aspect of his research involves integrating heterogeneous and large-scale data sources such as electronic health records, wearable sensors, Internet of Things devices, biomedical data, behavioral data, and social networks to build intelligent and explainable systems for healthcare and public health applications. His work also explores AI-enabled approaches for population health monitoring, disease prediction, personalized medicine, and resilient digital ecosystems.

Dr. Qolomany has contributed extensively to interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and computational sciences. His research interests include evolutionary algorithms, intelligent healthcare systems, network modeling, optimization, AI assurance, and data-driven analytics for complex systems. He collaborates with researchers across medicine, engineering, public health, and computer science to advance responsible and impactful AI technologies.

In addition to his research activities, Dr. Qolomany is committed to mentoring students and advancing interdisciplinary education in artificial intelligence and computational medicine. His work continues to contribute to emerging innovations in intelligent healthcare technologies, smart environments, and next-generation AI systems. More.