Donald Ebeigbe

Donald Ebeigbe is an Assistant Professor in the Department of Electrical Engineering at Cleveland State University. His research spans interdisciplinary domains including robotics, prosthetics, infectious disease dynamics, and control systems. He has made significant contributions to nonlinear filtering, robust control, and mathematical modeling of epidemics with behavioral feedback.

• Academic Rank: Assistant Professor
• Department: Electrical Engineering
• University: Cleveland State University

His work integrates robotics with biomedical applications, focusing on adaptive control techniques for prosthetic limbs and drones. In epidemiology, he investigates parameter identifiability and equilibrium stability in disease models. Recent publications highlight his expertise in Kalman filtering and non-Gaussian forecasting.

Research trends include:

• Generalized unscented transformation for non-Gaussian processes (2025)
• Behavioral feedback in infectious disease dynamics (2025)
• Regressor-free control algorithms (2024)
• Manifold-based identifiability analysis in epidemics (2022)

Key collaborations include research with scholars at institutions like IEEE and SIAM journals, with applications in both biomedical engineering and public health.