Projects

Selected research projects in photonic interconnects, semiconductor packaging, device fabrication, first-principles materials modeling, and machine learning.

My current Ph.D. research is listed first, followed by selected projects from my previous work in semiconductor devices, computational materials science, and machine learning.

3D Photonic Interconnects in Glass for Advanced Packaging

Development of dense, low-loss, three-dimensional optical interconnects in glass substrates for package-level communication in AI and high-performance-computing systems.

Point-Defect Formation Energy in GaN Using VASP

First-principles calculation of point-defect formation energies in GaN using VASP, PyDefect, SLURM, and high-performance computing.
project thumbnail

Flexible Organic Synaptic Transistors

Fabrication and characterization of flexible P3HT-based organic transistors for neuromorphic and artificial-synapse applications.

Power-System Stability Classification Using Deep Neural Networks

Machine-learning classification of power-system stability using deep neural networks, Python, scikit-learn, Keras, and MATLAB/Simulink.
project thumbnail

First-Principles DFT of 2D Nanomaterials

First-principles investigation of the structural, electronic, optical, and transport properties of 2D monolayers and van der Waals heterostructures.