Erik I. Verriest received the degree of 'Burgerlijk Electrotechnisch Ingenieur' from the State University of Ghent, Ghent, Belgium in 1973, and the M.Sc. and Ph.D. degrees from Stanford University in 1975 and 1980, respectively.
He was employed by the Control Systems Laboratory and the Hybrid Computation Centre, Ghent, Belgium, where he worked on process simulation and control in 1973-74. His doctoral research at Stanford was on the algebraic theory and balancing for time varying linear systems and array algorithms. He joined the faculty of Electrical and Computer Engineering at Georgia Tech in 1980. He spent the 1991-92, 1993-94 and 1994-95 academic years at Georgia Tech Lorraine.
He has contributed to the application of the theory of systems over finite fields in cryptography, data compression, sensitivity analysis of array algorithms with applications in estimation and control, algorithms for optical computing. More recently he contributed to the theory of periodic and hybrid systems, delay - differential systems, model reduction for nonlinear systems, and control with communication constraints. He served on several IPC's and is a member of the IFAC Committee on Linear Systems.
- Ph.D., Stanford University, 1980
- M.Sc., Stanford University, 1975
- “Electrotechnisch Ingenieur,” Rijksuniversiteit Gent, Belgium, 1973
Professor Verriest’s research centers on mathematical system theory with applications in the theoretical and applied aspects of signal processing dynamics, control, and communication systems. Recent work focuses on model reduction for linear and nonlinear systems, analysis of structural properties of systems, systems with time delays modeled by functional differential equations, impulsive behaviors in nonlinear systems (using generalized functions), and optimal control applied in robotics and ecological problems. He investigates mathematical frameworks to address problems in data transmission, signal estimation, and information processing, contributing to advancements in efficient and robust engineering solutions.
Professor Verriest’s teaching focuses on core electrical and computer engineering courses covering digital signal processing, system theory, circuit theory and information theory at both undergraduate and graduate levels. His instruction emphasizes foundational concepts enabling students to analyze and design complex communication and signal processing systems. Laboratory experiences and project-based learning are incorporated to enhance practical understanding and technical skills essential for advanced study and professional development in electrical engineering.
- Francqui Fellow (1974) - Belgian American Educational Foundation
- Member, Sigma Xi
- Member, Phi Kappa Phi
- Senior Member, IEEE
- E.I. Verriest, Y. Kuang, Laplace Transform in Stability Analysis…, MATRIX Annals, 2025.
- E.I. Verriest, with State‑Dependent Delay: Gravitating Binaries…, Modern Challenges…, 2025.
- W.S. Gray, E.I. Verriest, On symmetries in analytic input‑output systems, IMA J. Mathematical Control and Information, 2025.
- E.I. Verriest, A Comparison of Some Nonlinear Balancing…, CDC 2025, 1727–1732.
- E.I. Verriest, Geometric Insight in Solving Optimal Control Problems…, IEEE Control Systems Letters 9, 3053–3058, 2025.