Scholar
Basheer Qolomany
Google Scholar ID: fA53m8sAAAAJ
Assistant Professor of AI and Computational Medicine @ Howard University College of Medicine
Citations & Impact
Citations
1,536
H-index
13
i10-index
15
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Develops predictive, diagnostic, and intervention models by integrating and analyzing large, heterogeneous data streams from diverse sources such as public health records, clinical health data, genome sequencing, medical imaging, IoT data, wearable data, digital health tools, social media, and news feeds, advancing healthcare delivery and improving patient outcomes.
Research Experience
- Current Assistant Professor at Howard University College of Medicine and Director of AICMSH Lab; Former Assistant Professor at the School of Information Technology, University of Cincinnati; Assistant Research Professor at the Department of Biomechanics, University of Nebraska at Omaha; Assistant Professor at the Department of Cyber Systems, University of Nebraska; Research Fellow at the National Strategic Research Institute (NSRI); Research Faculty at the Center for Intelligent Health Care (CIHC), University of Nebraska Medical Center; Research Data Analyst at the Department of Veterans Affairs and the Nebraska/Western Iowa Health Care System (NWIHCS); Visiting Assistant Professor at Kennesaw State University; Research Assistant and Teaching Assistant at Western Michigan University; Lecturer at the University of Duhok.
Education
- Ph.D. in Computer Science, Western Michigan University, 2018; M.S. in Computer Science, Western Michigan University, 2018; M.S. in Computer Science, University of Mosul, 2011; B.S. in Computer Science, University of Mosul, 2008.
Background
- Research interests include network science, evolutionary computation, and artificial intelligence. He leverages advanced AI technologies such as natural language processing, machine learning, deep learning, graph representation learning, swarm intelligence, and big data analytics to address critical challenges in computational medicine, population health, cybersecurity, and smart health services. His work also explores the intersection of computational medicine and AI to enhance precision medicine, optimize therapeutic strategies, and address socio-demographic disparities in healthcare access and outcomes.
Miscellany
- Has over 13 years of teaching experience in various roles at multiple institutions, which has shaped his expertise and deepened his commitment to education and research.
Co-authors