Research
Machine Learning Applications in Wireless Communication Networks
Goal: The project aims to detect user anomalies and inference patterns in wireless networks, targeting to improve the data rates of communication systems.
Thesis: Machine Learning Applications in Wireless Communication Networks: Interference Detection and Authentication Aspects.
Machine Learning Applications in Magnetic Domain Pattern Images
In order to extract parameters from and/or generate new images of magnetization patterns using micromagnetic simulation data, the images of simulated magnetization patterns will be input into Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) for training.
Benefit: An opportunity to create domains that have out-of-range parameters (you can’t execute in micromagnetic simulation).
Spike-Timing-Dependent Plasticity (STDP) Neuromorphic Devices
Coming soon...
Unconventional Computing
Skyrmion stability and movement under different temperature, current density, and physical constraints.
Skyrmion: Material Growth
Coming..
Novel Materials: Dynamics of Hopfions
Study of resonant spin dynamics of topological spin textures.
Using micromagnetic simulations, e.g., MuMax3 and OOMMF to find resonant spin dynamics of a three-dimensional topological spin texture hopfion in different chiral magnets and identifying the ground state spin configuration of hopfions, effects of anisotropies, geometric confinements, and demagnetizing fields. Calculation of the resonance frequencies and spin-wave modes of spin precession dynamics under multiple magnetic fields.
Novel Materials: Antiferromagnetic Material Switching
NiO Antiferromagnetic Switching:
Heterostructure growth using a sputtering system
Hall bar measurement device fabrication using photolithography
A temperature effect on the antiferromagnetic domain switching
Laser-induced dynamics
THz resonance dynamics
You cracked it!
Electric Field Effects on the Chocolate Flow
The electric field was applied along the direction of the flow of chocolate and the effects of the electric field on temperature, its gradient, and pressure were investigated.
PID was used for controlling temperature and setting them. Solid-state-relays were used to heat the system and nitrogen gas was used for pressuring the system. An electric field was created using Cu plates.
The graph of chocolate weight versus time was graphed in real-time.
