Director, Open Innovation Center & Electromagnetics Research
Jeffrey D. Pursel joined Riverside Research in June 1998 and currently serves as Director of the Open Innovation Center & Electromagnetics Research. Dr. Pursel has extensive experience in the development of highly efficient software for computational electromagnetics (CEM) applications and design optimization tools. He is the principal architect of novel design tools that integrate optimization algorithms, a computational prediction engines, and scriptable CAD tools.
Dr. Pursel has performed and directed research and development activities employing several electromagnetic formulations including: moment methods, fast solvers such as the fast multipole method and the recently-developed adaptive cross approximation, fast matrix update methods, finite difference time domain, and raytracing techniques such as physical optics and shooting and bouncing ray methods. His practical experience in the implementation and application of global and local optimization methods such as Genetic Algorithm and minimum gradient techniques has produced design solutions for several challenging programs.
Dr. Pursel earned a BS in electrical engineering from California State University, Fresno in 1993 and a MS and PhD in engineering science (electromagnetics) from the University of Mississippi in 1995 and 1998, respectively. His dissertation focused on developing a Finite Difference Time Domain algorithm for the solution of a bandpass-limited vector wave equation. In 2004, he received the Riverside Research Ralph Mastrandrea Memorial Award for the development and implementation of a novel multi-bounce raytrace code used to compute the scattering of complex geometries. Dr. Pursel is a member of the Sigma Xi, Eta Kappa Nu, and Tau Beta Pi honor societies, as well as several professional organizations, including the Institute of Electrical and Electronics Engineers and the Society of Industrial and Applied Mathematics.
Dr. Pursel’s research interests include:
- Computational Electromagnetics (CEM)
- Electromagnetic Phenomenology
- Multiobjective Design Optimization
- High Performance Computing (HPC)