معرفی
Basheer Qolomany is an Assistant Professor at Howard University's College of Medicine, Department of Medicine. He also holds academic roles at institutions including the University of Cincinnati, University of Nebraska, and Kennesaw State University. His research focuses on AI-driven solutions for computational medicine, cybersecurity, smart health systems, and data analytics. He earned his Ph.D. in Computer Science from Western Michigan University (2018) and has taught courses in AI, cybersecurity, and data science across multiple universities.
Dr. Qolomany's expertise includes network science, evolutionary computation, natural language processing, and big data analytics. His work addresses challenges in precision medicine, disease diagnosis via wearable sensors, and optimizing therapeutic strategies. He has secured grants totaling over $150,000, including a co-PI role in a 2021-2023 project on peripheral artery disease detection and a PI role in a 2020-2021 study analyzing Bitcoin dynamics via Twitter data.
His publications span AI optimization techniques, smart building energy management, and cybersecurity in autonomous systems. He actively contributes to interdisciplinary collaborations, including the Center for Sickle Cell Disease and the Center for Applied Data Science and Analytics at Howard University.
