Research baseComputational photonicsPhotonic-crystal sensing
Research
Computational Photonics for Integrated Sensing and Photonic Systems
My research background is centered on computational photonics, photonic-crystal devices, and optical sensing, with current interests extending toward integrated photonic circuits, spectroscopy, inverse design, reconfigurable photonics, and fabrication-aware optimization.
Research directions6Current PhD-interest areas
Peer-reviewed work1 articleOptical and Quantum Electronics
Core methodsFDTD · PWENumerical modeling
Research Profile
Research background and direction
M.Sc. graduate in Electrical Engineering – Micro and Nano Electronic Devices with research experience in computational photonics, photonic-crystal device design and sensing, and PWE/FDTD simulation. My work includes a sole-authored peer-reviewed article on photonic-crystal sensing and a reproducible SOI add-drop microring project using Ansys Lumerical and Python.
My research interests span integrated photonics, photonic sensing, inverse design, on-chip spectroscopy and biosensing, tunable/reconfigurable photonics, and fabrication-aware computational design.
Research Directions
Current research interests
These directions represent areas of current research interest and intended PhD development, extending from my demonstrated background in computational photonics and photonic sensing.
Computational Integrated Photonics & PIC Design
Numerical modeling and computational design of integrated photonic devices, waveguides, resonators, and photonic integrated circuits.
Integrated Photonic Sensing
Integrated optical sensors based on resonant and waveguide-based structures for physical, chemical, and biological sensing applications.
On-Chip Spectroscopy & Photonic Biosensing
Photonic platforms for compact spectroscopy, optofluidic sensing, and lab-on-chip measurement systems.
Inverse & ML-Assisted Photonic Design
Numerical optimization of photonic devices, including inverse-design, adjoint, topology-optimization, and data-driven approaches.
Tunable / MEMS-Enabled Integrated Photonics
Tunable and reconfigurable photonic components and architectures, including MEMS-enabled integrated photonic systems.
Robust & Fabrication-Aware Design
Computational strategies for photonic devices that account for fabrication constraints, parameter variation, and performance robustness.
Research Experience
Demonstrated research work
Master's Thesis Research
Coupled-Cavity Photonic Waveguide Pressure Sensor
Computational design and simulation of a photonic-crystal waveguide structure based on coupled cavities for pressure sensing. The work included band-structure and resonance analysis, parameter sweeps, and geometry optimization using numerical photonics methods including PWE and FDTD.
Thesis-to-Publication Development
Polymer-Based Photonic Crystal Pressure Sensor
Extension of photonic-crystal pressure-sensing research toward a polymer-based device architecture, including simulation and optimization of the sensing structure. The work resulted in a sole-authored peer-reviewed article published in Optical and Quantum Electronics in 2024.
View publication