Fatima Boukari

Fatima Boukari is an Associate Professor in Computer Science within the Division of Physics, Engineering, Mathematics and Computer Sciences at Delaware State University. Her research bridges artificial intelligence, deep learning, and mathematical modeling to develop robust solutions for biomedical engineering, cell biology, and agricultural technology challenges.

Education:

• B.Sc. in Computer Science Engineering from University of Annaba, Algeria
• Dual M.Sc. degrees in Computer Systems Architectures and Parallel Computing from Algeria-Glasgow
• Ph.D. in Mathematics & Physics from Delaware State University

Dr. Boukari's research centers on foundational Deep Learning architectures and mathematical modeling applied to biomedical diagnostics and cell dynamics analysis. Her work in reinforcement learning and transfer learning enhances decision-making for autonomous systems, while her cognitive modeling research decodes human perception using EEG data. She pioneers multi-modal distributed learning systems that maintain privacy across heterogeneous sensor networks, addressing critical gaps in military ISR applications.

Her recent publications reveal a strong trajectory toward spectral data analysis for medical diagnostics and AI-driven cognitive modeling, with increasing emphasis on trustworthy AI solutions for healthcare and environmental sustainability. The consistent focus on cell segmentation/tracking algorithms demonstrates her commitment to advancing biomedical image analysis.

Scientific Awards:

• No scientific awards, prizes, or fellowships listed in available information

Dr. Boukari has mentored over 40 undergraduate and 2 graduate students from underrepresented STEM backgrounds. Her active research portfolio includes:

• NSF CISE grant for biomolecular detection using physics-informed machine learning
• Air Force RITA/UARC project on neuroscience computational modeling
• Air Force project building robust multi-modal distributed learning systems
• DE-CTR ACCEL project for COVID-19 respiratory disease diagnosis
• NSF grant for Delaware and Mid-Atlantic Data Science Corps
• Research scientist role in AI-CLIMATE National AI Research Institute

She leads the Applied Interdisciplinary Data Science (AIDA) Laboratory and serves as Project Lead for the CAST E-IoT Center's four agricultural research thrusts. As Team Lead of the 1890 Working Group on Artificial Intelligence, she drives initiatives addressing climate change resilience and food security through responsible AI development.