Manar Samad

Dr. Manar Samad is Associate Professor of Computer Science at Tennessee State University's College of Engineering. His multidisciplinary research spans machine learning, computer vision, natural language processing, health informatics, and explainable AI, with projects funded by NSF, NIH, DoD, and Amazon.

Dr. Samad leads research on deep representation learning for tabular data, domain adaptation in computer vision, missing data imputation techniques, and multimodal learning. His health informatics work focuses on clinical decision support systems using electronic health records. Recent publications demonstrate specialization in self-supervised learning, clustering algorithms, and cross-domain adaptation for medical applications.

Current projects include mathematically-inspired representation learning for heterogeneous data (DoD), deep clustering of EHR data (NSF), and cross-domain computer vision applications (Amazon). Dr. Samad directs the Computational Intelligence and Data Analytics Lab (CIDALab), advancing fundamental algorithms and applied AI systems.

• Education: Postdoc (Geisinger Medical Center), PhD (Old Dominion University), MSc (University of Calgary), BSc (Bangladesh University of Engineering & Technology)
• Awards: 2016 Outstanding PhD Researcher Award (Old Dominion University)
• Major Grants: NSF ($200K), DoD ($800K), NIH ($421K), USDA ($500K), Amazon ($80K)