Research Focus

The central theme of my research is to use applied analysis, numerical methods, and/or machine learning to better understand physical systems mostly within Hamiltonian, quantum, or nonlinear wave settings. Most of my earlier work, which I still very much enjoy to do today, involves optimal control theory and nonlinear waves.

New and Active Projects (please come to my talks if not published yet)

  • Reduced Order Modeling via spectral methods
  • Neural methods for long-time integration of PDEs
  • Applied analysis of nonlinear waves, lately working on the Manakov system and the Salerno lattice
  • Learning structure (integrability, integral transforms, conservation laws, normal forms, etc.) from data
  • Data-driven methods in open quantum systems

2026 summarized

Contact

For questions about research, collaboration, or student opportunities, please email me: jimmie.adriazola [at] asu [dot] edu