Robert C. Green II

Robert C. Green II, Ph.D., is an Associate Professor in the Department of Computer Science at Bowling Green State University. He focuses on solving computational problems through software development and teaching.

• Education: B.S. in Computer Science & Applied Mathematics (2005) from Geneva College, M.S. in Computer Science with Operations Research focus (2007) from Bowling Green, and Ph.D. in Engineering (2012) from the University of Toledo.

His research spans Computational Intelligence, High-Performance Computing (HPC), and Data Analytics, with interdisciplinary applications in kidney transplantation, cloud computing, and energy systems. Recent work emphasizes improving kidney transplant practices via data-driven HLA matching algorithms, simulation, and optimization.

Analysis of his publications reveals key subfields: HLA-based immunogenicity modeling, predictive analytics for medical and technical systems, generative models for imbalanced datasets, and software engineering for cloud/web platforms. His work bridges computational methods with real-world challenges in healthcare and energy.

Dr. Green's methodological expertise includes HPC, Monte Carlo simulations, and machine learning for reliability assessment in power systems, with a growing focus on equitable healthcare solutions.