$ cat research/intelligent.md
Intelligent Methods for Reconfigurable Devices
The rapid development of communication, sensing, and navigation systems are driving major changes in next-generation RF and microwave devices. These devices need to be miniaturized, integrated, capable of working in multiband and multimode, and configured via software-defined signals or user-centric artificial intelligence (AI) for systems possessing perception, learning, reasoning, and decision-making capabilities.
Fabricated by functional materials and engineered metasurfaces, these devices are tunable and reconfigurable through external stimuli such as biasing voltages, electrical/magnetic/optical excitations, temperature variations, and mechanical forces. While the reconfigurability provides unprecedented flexibility, the design and optimization face great challenges from structural and material complexities, multi-scale challenges, multiphysics and nonlinear interactions, and high optimization dimensionalities.
The primary objective is to confront these challenges by developing physics and neural network enabled EM and multiphysics simulation methods. These methods provide multi-scale, multiphysics, and nonlinear modeling capabilities, enabling efficient evaluation and optimization of RF and microwave reconfigurable devices. Recent work includes adaptive multi-grid graph element networks for PDE solutions on irregular finite element meshes, and discontinuous Galerkin integral equation methods with generalized sheet transmission conditions for metasurface modeling.
> examples
Dynamic p-adaptation for electromagnetic simulations
Dynamic h-adaptation — mesh automatically refines
AI-aided design and optimization of metasurface devices
Adaptive multi-grid graph element networks for PDE solutions on irregular FEM meshes
Discontinuous Galerkin integral equation for metasurface modeling with GSTC
> funding_agencies
> key_publications
A domain-decomposed A-φ formulation based on Lagrange multipliers for low-frequency problems
A. Hossain and Su Yan — Proc. IEEE Antennas Propag. Symp., Ottawa, Canada, July 2025, 2025
Time-domain all-frequency stable formulation for low-frequency electromagnetic simulation with Newmark-beta time integration
M. Mekonnen and Su Yan — Proc. IEEE Antennas Propag. Symp., Ottawa, Canada, July 2025, 2025
A stable potential-based time-domain method for wideband electromagnetic analysis
M. Mekonnen and Su Yan — 2025 International Applied Computational Electromagnetics Society (ACES) Symposium, Orlando, FL, USA, May 2025, 2025
Telescope coronagraph focal plane mask design using the method of moments and a constrained least squares
Su Yan, L. Wise, and P. Chen — 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Winnipeg, Canada, June 2023, 2023
An efficient solution of low-frequency magnetic problems with voltage sources using all-frequency stable formulation
M. Mekonnen and Su Yan — 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Winnipeg, Canada, June 2023, 2023
Advances in Time-Domain Computational Electromagnetic Methods
Q. Ren, Su Yan, and A. Elsherbeni (ed.) — Wiley-IEEE Press, 2022
Adaptive Discontinuous Galerkin Time-Domain Method for the Modeling and Simulation of Electromagnetic and Multiphysics Problems
Su Yan — Advances in Time-Domain Computational Electromagnetic Methods, 2022
I. Ahmed, Su Yan, D. B. Rawat, and C. Pu — IEEE Trans. Veh. Technol., 2022