Shiqi Luo

Shiqi Luo

Graduate Research Assistant @ University of Dayton

About

My expertise extends to modeling and designing advanced nanophotonic devices using Ansys Lumerical software tools, paired with strong programming skills in MATLAB, Python, and LabVIEW for data processing and device testing. With hands-on experience in cleanroom environments, I excel in using techniques like PECVD, ICP-RIE, SEM, AFM, and profilometers for nanofabrication and characterization. Additionally, I have a proven track record in constructing complex optical setups and developing automated testing systems for high-NA high-resolution optical imaging and laser direct writing lithography. Core Competencies: • Nanophotonic Device Modeling & Simulation (Ansys Lumerical FDTD) • Cleanroom Techniques & Procedures (PECVD, ICP-RIE, SEM, AFM, wet etch, profilometers) • Optical Setup Construction & Test • Data Acquisition & Analysis (MATLAB, Python, LabVIEW)

Country

United States

City

Dayton

Industry

Nanotechnology

Skill

Spectroscopy, Oscilloscope, LUNA, Data Acquisition, Data Analysis, Test Automation, LabVIEW, Scanning Electron Microscopy (SEM), Atomic Force Microscopy (AFM), Profilometer, Microscopes, Plasma-Enhanced Chemical Vapor Deposition (PECVD), Reactive Ion Etching, Wet Etching, Fiber Optic Networks, Computational Electromagnetics, Optical System Design, Cleanroom, Fiber Optics, Optical Engineering

Experience

University of Dayton

Graduate Research Assistant

University of Dayton

LinkedIn
2021-9 - Present · 5 yrs 1 mo

Dayton, Ohio, United States

Projects: (i) Fabricating Fresnel Zone Plate with Extended Depth of Focus Through GST Photothermal Lithography: ● Proposed a novel method for extending Fresnel zone plate (FZP) depth of focus (DOF) by segmenting it into sub-areas with tunable focal lengths and spatial arrangements. ● Simulated the segmented FZP design in Python and achieved a 15.7× increase in DOF through parameter optimization. ● Fabricated the optimized FZP on 50 nm GST thin films using a two-step process of laser direct writing and wet etching. ● Verified <5% average ring width deviation through SEM characterization. ● Built an FZP testing platform and demonstrated a 13.6× experimental DOF extension. (ii) Direct laser writing lithography of photoinsensitive durable GST thin films with near 100% yield: ● Operate direct laser writing lithography system, achieving precise patterning on the GST thin film. ● Apply wet etch and dry etch for subsequent processing of patterned samples. ● Ensure pattern quality via optical microscopy, AFM, and SEM, resulting in consistent and reproducible patterning. ● Achieve a 300 nm feature size and nearly 100% yield, demonstrating high resolution and advanced fabrication capabilities. (iii) Maskless Lithography System based on Digital Micromirror Device (DMD) and Metalens: ● Design a 532 nm metalens in FDTD with Si3N4 nanopillars and an SiO2 substrate, achieving a 385 nm FWHM focal spot. ● Fabricate the designed metalens in class 100 cleanroom using PECVD, EBL, ICP-RIE, etc. ● Develop a DMD/metalens-based lithography system, improving efficiency by simultaneous direct writing of 400 laser points. ● Develop a LabVIEW gap-measurement system, minimizing errors in the fabrication process. ● Coordinate synchronization of optical components by using LabVIEW, achieving precise arbitrary patterning.

Coherent Corp.

Optical Engineer Intern

Coherent Corp.

LinkedIn
2024-5 - 2024-8 · 4 mos

Sunnyvale, California, United States

● Performed testing on 84×84-port Optical Circuit Switches (OCS) using Python and LabVIEW, establishing testing standards at both the module level and chassis level. ● Evaluated seven key optical parameters: insertion loss (IL), polarization dependent loss (PDL), power-off IL, switching time, dynamic/cumulative crosstalk (XT), return loss (RL), and wavelength dependent loss (WDL). ● Developed 11 OCS control protocol scripts in Python, enabling port mapping, voltage calibration, and configuration management; supported dynamic port reconfiguration and precise voltage tuning of liquid crystal (LC) cells. ● Built a Python-based automated testing framework for data acquisition, analysis, and optimization of OCS performance.

Huazhong University of Science and Technology

Undergraduate Research Assistant

Huazhong University of Science and Technology

LinkedIn
2020-10 - 2021-5 · 8 mos

Wuhan, Hubei, China

Project: Image Edge Detection based on Optical Metasurface: ● Designed a 2 mm-diameter TiO₂ metasurface for image edge detection, with achromatic optimization via FDTD. ● Exploited spin–orbit interaction of light to modulate geometric phase, enabling polarization-independent edge detection. ● Integrated with MATLAB algorithms to extract isotropic edges of biological cells for imaging applications.

Education

University of Dayton

University of Dayton

LinkedIn

Electro-Optics and Photonics

2022-8 - 2027-5 · 4 yrs 10 mos
University of Dayton

University of Dayton

LinkedIn

Electro-Optics and Photonics

2020-8 - 2022-8 · 2 yrs 1 mo
Huazhong University of Science and Technology

Huazhong University of Science and Technology

LinkedIn

Opto-Electronic Information Science and Engineering

2017-9 - 2021-6 · 3 yrs 10 mos

Shiqi Luo's Contact Information

Email

******@***.com

Phone

(**) *** ****

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