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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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other_projects
10 nm Scale Precision Patterning via EBL
Precise nanoscale patterning enables strong electric-field enhancement at individual resonators. 
Inverse Design & Optimization for Lithographic Patterning
Can we inversely predict mask geometries to achieve accurate patterning beyond diffraction limits based on Hopkins/Abbe imaging theory?
Image generated by ChatGPT. 
RAG-LLM agency for my publication summary
Reducing hallucinations using lightweight retrieval-augmented generation (RAG).
Medium-less Display via Acousto-Optic Perturbation
Exploring acousto-optic effects in air to generate controllable refractive index perturbations for free-space display systems.
Transformer Time-Series Forecasting
OLED luminance degradation prediction over future time windows using a transformer-based time-series model. Delta luminance was incorporated to improve training stability and forecasting performance.
Adjoint Optimization for Diffraction Suppression
Developed an adjoint-based inverse design framework to optimize nanoscale optical masks for diffraction control, leveraging Abbe’s imaging theory and Fourier-domain constraints.
GS algorithm phase retrieval: when the amplitudes of the image and Fourier planes are well defined, the phase information can be found
Starting from a random phase mask, perform FFT and IFFT back and forth. During this procedure, enforce the measured amplitudes from the image plane and the Fourier plane. The phase retrieval happens because the results of FFT and IFFT are in complex form, so by considering the real and imaginary parts of the result, we can update the phase.
portfolio
Quasi-Q-switched mode-locked fiber laser for efficient second-harmonic generation
Developed a ytterbium-doped fiber laser using subharmonic cavity modulation to generate quasi-Q-switched mode-locked pulses for enhanced 532 nm second-harmonic generation in MgO:PPLN.
Challenge – Efficient nonlinear frequency conversion is limited by insufficient peak power and pulse dynamics in conventional fiber laser systems.
Approach – Designed a quasi-Q-switched mode-locked fiber laser using subharmonic cavity modulation. Enhanced pulse energy and peak power to improve nonlinear interaction efficiency in MgO:PPLN for 532 nm SHG.
Techniques – Fiber laser systems, AOM-based modulation, nonlinear optics (SHG), optical amplification, RF modulation
Instruments – Optical spectrum analyzer (OSA), oscilloscope, RF spectrum analyzer; photodetectors, CMOS cameras; gain fibers (Er, Yb), WDM, isolators, wave plates, RF drivers 
Hybrid nanophotonic tweezers for nanoscale particle manipulation
Designed an anapole-enhanced dielectric nanotweezer platform combining optical and diffusiophoretic forces for low-power, label-free nanoparticle manipulation.
Challenge- Near-field trapping experiments are strongly influenced by Brownian motion, making it difficult for nanoparticles to approach the nanoresonator. An additional transport mechanism is required to guide particles into the near-field region.
Approach- We utilize diffusiophoresis induced by localized thermal gradients from the nanoantenna. This generates fluid-driven transport, enabling particles to be delivered toward the resonator for efficient trapping.
Techniques- Thermonanophotonics, EM/thermal/fluid simulations, Nanofabrication (EBL, PECVD, RIE)
Instruments- Nikon microscopy systems, CW lasers, Photodetectors, CMOS cameras 
Nanophotonic particle trapping using DBR-enhanced optical fields
Demonstrated nanoparticle trapping using distributed Bragg reflector (DBR)-enhanced optical fields for improved confinement and manipulation at the nanoscale.
Challenge- Effective nanoscale particle trapping is fundamentally limited by the diffraction of light. Here, we enhance the near-field intensity in a single nanoantenna to increase the optical gradient force, enabling stable trapping of particles smaller than 50 nm.
Approach- We leverage near-field enhancement from the slot effect in a reflector-backed nanoantenna system supported by a distributed Bragg reflector (DBR). The slot geometry concentrates the electric field within the low-index gap, consistent with Maxwell’s boundary conditions, thereby significantly enhancing the local field intensity.
Techniques- Thermonanophotonics, coupled EM/thermal/optical force simulations, thin-film optimization (DBR), Nanofabrication (EBL, PECVD, RIE)
Instruments- Nikon microscopy systems, CW lasers, Photodetectors, CMOS cameras
Parallel nanophotonic trapping platform enabled by photolithographic scalability
Developed a parallelized nanophotonic trapping system using photolithographically defined structures, enabling rapid and scalable manipulation of nanoscale particles beyond conventional single-beam optical tweezers. Keywords: parallel trapping, nanophotonics, photolithography, optical tweezers, scalable sensing.
Challenge- Achieving high-efficiency, comprehensive analysis of single nanoparticles to determine their size, shape, and composition is essential for understanding particle heterogeneity with applications ranging from drug delivery to environmental monitoring. Existing techniques are hindered by low throughput, lengthy trapping times, irreversible particle adsorption, or limited characterization capabilities.
Approach- We introduce Interferometric Electrohydrodynamic Tweezers (IET), an integrated platform that combines rapid molecular trapping, interferometric scattering imaging, and Raman scattering to rapidly trap and characterize single nanoparticles within seconds in one integrated platform.
Techniques- Thermal/flow simulations(DBR),Nanofabrication (Lithography, Evaporation)
Instruments- Nikon microscopy systems, CW lasers, Photodetectors, CMOS cameras
AI-assisted interferometric nanotweezers for label-free EV detection
Developed an AI-enhanced interferometric nanotweezer platform for label-free detection of extracellular vesicles using deep-learning-based segmentation, contrast enhancement, and quantitative image analysis. Keywords: AI segmentation, interferometric imaging, nanophotonics, optical trapping, label-free sensing.
Challenge- Characterization of single nanoparticles requires accurate analysis of particle trajectories, which depends on reliable segmentation of low signal-to-noise interferometric images, Conventional segmentation approaches are time-consuming and limit scalable, high-throughput extraction of particle properties such as refractive index and size
Approach- Incorporated particle tracking algorithms with U-Net–assisted segmentation to enable automated and robust extraction of particle trajectories
Techniques- Label-free Optical Imaging system using interferences, Python assisted tracking, AI assisted Segmentation (training/prediction), Image processing for the contrast enhancement, Automated data sampling
Instruments- Micro-Manager, Nikon SDK, CW lasers, CMOS cameras 
publications
532-nm second harmonic generation with enhanced efficiency using subharmonic cavity modulation-based quasi-Q-switched-mode-locked pulses
Published in Optics Express, 2020
In this paper, we demonstrate enhanced second-harmonic generation using picosecond laser pulses in a fiber cavity with AOM modulation.
Anapole-assisted low-power optical trapping of nanoscale extracellular vesicles and particles
Published in Nano Letters, 2023
In this paper, we demonstrate nanoscale particle (~35 nm) trapping using near-field enhancement arising from a distributed Bragg reflector layer.
Hybrid optical and diffusiophoretic nanomanipulation using all-dielectric anapole-enhanced thermonanophotonics
Published in ACS Photonics, 2023
We present a noninvasive platform that combines the near-field optical gradient force from a nonradiating anapole nanoantenna with a diffusiophoretic force to achieve nanoscale particle transportation, trapping, and manipulation.
AI-assisted label-free single-particle analysis of milk-derived extracellular vesicles enabled by nanotweezers
Published in npj biosensing (under review), 2025
We developed an integrated platform that combines electrohydrodynamic trapping, interferometric scattering microscopy, and AI-assisted tracking for rapid, label-free analysis of milk-derived extracellular vesicles (mEVs).
Rapid trapping and label-free optical characterization of single nanoscale extracellular vesicles and nanoparticles in solution
Published in Light: Science & Applications, 2026
We introduce Interferometric Electrohydrodynamic Tweezers (IET), an integrated platform that combines rapid molecular trapping, interferometric scattering imaging, and Raman scattering to rapidly trap and characterize single nanoparticles within seconds in one integrated platform.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.