Scholar
Robert Lupoiu
Google Scholar ID: exZV_fIAAAAJ
PhD Candidate, Stanford University
Citations & Impact
Citations
379
H-index
8
i10-index
7
Publications
20
Co-authors
8
list available
Resume (English only)
Academic Achievements
- A multi-agentic framework for real-time, autonomous freeform metasurface design, Science Advances, 2025.
- Towards General Neural Surrogate Solvers with Specialized Neural Accelerators, ICML, 2024.
- Machine Learning Advances in Computational Electromagnetics (Book Chapter), Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning, John Wiley & Sons, Inc., 2023.
- High Speed Simulation and Freeform Optimization of Nanophotonic Devices with Physics-Augmented Deep Learning, ACS Photonics, 2022.
- MetaNet: a new paradigm for data sharing in photonics research, Optica Express, 2020.
Research Experience
- Recent work has focused on developing a new agentic reasoning framework that leverages ultra-fast and general Maxwell surrogate solvers to enable real-time, multi-objective, multi-wavelength metasurface design.
Education
- PhD student in Electrical Engineering at Stanford University, co-advised by Jonathan Fan and Ivan Soltesz. Research is supported by the Knight-Hennessy Scholars program.
Background
- PhD candidate in Electrical Engineering at Stanford University, focusing on pushing the boundaries of optical engineering and neuroscience through innovations in machine learning and applied physics.
