Luis J. Gomez
Neuroscience · Purdue University West Lafayette
Publications
108
Citations
1,122
Est. group size
~5
Recurring co-author estimate
Active years
28
Publishing since 1999
Luis J. Gomez develops computational and mathematical methods to model how electromagnetic fields interact with brain tissue, particularly in the context of noninvasive brain stimulation techniques like transcranial magnetic stimulation (TMS). His work combines numerical simulation tools (such as boundary element and volume integral equation methods), neuron modeling, and optimization to design better stimulation devices and predict electric fields in the brain in real time. Prospective students would likely work on computational electromagnetics, numerical methods, and brain stimulation modeling problems.
Publication output has grown over the last decade, rising from about 5-6 papers per year in 2017-2020 to a peak of 16 in 2025, indicating an increasing pace of research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Optimization, implementation, and performance of TMS coils with maximum focality and various stimulation depths
Journal of Neural Engineering · 2026
- Eigenvalue distribution analysis of multidimensional prolate matrices
Research in the Mathematical Sciences · 2026
- A hybrid DEC-SIE framework for potential-based electromagnetic analysis of heterogeneous media
Journal of Computational Physics · 2026
- Advances in Computational Electromagnetics for Enhanced Noninvasive Brain Stimulation: E-field dosimetry, uncertainty quantification, optimization, and neural response modeling.
IEEE Antennas and Propagation Magazine · 2026
- Stochastic PDE Approach to Rough Surface Representation in Electromagnetic Scattering Modeling
2026
- Modeling Pyramidal Neurons Using Bidomain BEM and Hierarchical Matrix Approximation
IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology · 2026
- A MATLAB-Based Solver for Modeling Neurons
2025
- Modeling electromagnetic brain stimulation of a pseudo-realistic cell using a fmm bidomain boundary element approach
Brain stimulation · 2025
- Real-time prediction of e-fields during transcranial magnetic stimulation for neuronavigation systems
Brain stimulation · 2025
- A FMM Bidomain Boundary Element Method for Modeling Electromagnetic Brain Stimulation of a Pseudo-Realistic Cell
2025
- Real-Time Computation of E-Field in Transcranial Magnetic Stimulation for Neuronavigation and Optimization
2025
- A MATLAB-Based Solver for Modeling Neurons
2025
- Generating Realistic Meshes of Neuron Models
2025
- Modeling Pyramidal L2/3 Neurons by Compressing Adjoint BEM Using H-Matrix Approximation
2025
- A Novel Fullwave-Guided Optical Proximity Correction System Based on Distorted Born Iterative Method
2025
- Brain stimulation×7
- bioRxiv (Cold Spring Harbor Laboratory)×7
- Journal of Neural Engineering×6
- Revista Colombiana de Cancerología×3
- NeuroImage×2
- Nahian I. Hasan
Neuroscience · Purdue University West Lafayette
- Abhishek Datta
Neuroscience · Purdue University West Lafayette
- Anthony W. Meek
Neuroscience · Indiana University
- David M. Koceja
Neuroscience · Indiana University
- Davin Greenwell
Neuroscience · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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