Research
My research focuses on advancing the frontiers of spintronics and nanomagnetic devices through innovative fabrication techniques, machine learning approaches, and novel characterization methods. I work at the intersection of fundamental physics and practical applications, developing next-generation computing architectures.
Primary Research Areas
Key Research Highlights
First ML-Designed Spin-Wave Lens
2022Breakthrough in combining machine learning with experimental magnonics
Sub-micron Wavelength Manipulation
2023Achieved unprecedented control over spin-wave propagation at nanoscale
Rowland Spectrometer for Spin Waves
2021First demonstration of classical optical concepts in magnonic systems
Neuromorphic Computing Applications
2024Developing brain-inspired computing architectures using spintronic devices
Techniques & Methods
Fabrication
Focused ion-beam writing, photolithography, e-beam lithography, and thin film deposition for creating nanoscale magnetic devices
Characterization
Brillouin light scattering spectroscopy, time-resolved optical microscopy, and electrical measurements for device analysis
Computation
Machine learning for inverse design, numerical simulations, and data analysis using Python and MATLAB
Open to Collaborations
I'm always interested in exploring new research directions and collaborative opportunities in spintronics, neuromorphic computing, and nanomagnetic devices.
Discuss Research Opportunities