Josephine Namayanja

Josephine Namayanja is a Lecturer in the Management Science & Information Systems department at UMass Boston, with a focus on data mining and its applications in cyber security and healthcare. Her research spans temporal data mining, subspace mining, and machine learning for detecting network anomalies and improving disease management.

• PhD, University of Maryland, Baltimore County
• MS, University of Maryland, Baltimore County
• BS, Makerere University Kampala, Uganda

Her work addresses change detection in computer networks and healthcare analytics, particularly for chronic conditions like Type 2 Diabetes and Metabolic Syndrome. She co-authored studies on big data frameworks, intrusion detection systems, and spatial-temporal threat characterization, with publications in venues such as IEEE Big Data, IEEE Intelligence and Security Informatics, and the Journal of Medical Systems.

Josephine contributes to academia through peer review for journals like Decision Support Systems and Software: Practice and Experience. She is a member of the AAAS Science & Technology Policy Fellows for Women of Color, reflecting her dedication to advancing diversity in STEM.

• Research Associate and Team Lead at MBI Research Institute, Washington D.C.
• Adviser to Global Health Corps (GHC)
• Workshop Chair and Committee Member for IEEE conferences