This research focuses on electrostatic energy devices that utilize recursive charge feedback to accelerate voltage buildup under intermittent mechanical excitation. A polarity-aware feedback architecture was developed to reinject induced charges into the device, forming a self-reinforcing electric field that reduces start-up delay and enhances high-voltage output. Equivalent-circuit modeling and SPICE-based simulations were combined with experimental validation to establish predictive design rules linking dielectric material properties, impedance variation, and feedback topology. The work advances triboelectric nanogenerators toward fast-response self-powered systems operating under irregular motion environments. 

This research explores electrostatic induction mechanisms that govern charge accumulation and discharge processes in high-voltage systems. By analyzing electric-field distribution, breakdown dynamics, and nonlinear voltage evolution, the study connects classical electrostatic generators with modern energy-harvesting architectures. The goal is to provide a unified physical framework for induction-based high-voltage generation. 

This research focuses on electrostatic phenomena at liquid interfaces, including droplet charging, ion-mediated induction, and electrohydrodynamic motion. Experimental studies examine how environmental conditions and electric fields influence charge redistribution in droplet systems, aiming to develop liquid-based electrostatic generators and sensing platforms for low-power applications. 

This research focuses on the development of compact optical sensing platforms for airborne biological particle detection based on UV-induced fluorescence. Instead of conventional photomultiplier tube systems, a low-power architecture using UV-LED excitation and photodiode detection was developed to enable scalable personal health monitoring sensors. Signal-processing strategies, including spatio-temporal averaging, were introduced to enhance the signal-to-noise ratio of weak fluorescence signals. The work integrates optical design, microfluidic flow simulation, and algorithm development to estimate particle size distribution and biological particle concentration from scattering and fluorescence signals. 

This research examines internal potential distributions in bulk heterojunction organic solar cells using cross-sectional Kelvin probe force microscopy. The study analyzes how interface-induced potential dips and local electric-field variations influence carrier transport and recombination dynamics. Measurements reveal that potential gradients near the cathode interface govern charge extraction efficiency, while localized potential dips contribute to carrier trapping and recombination processes. The work combines nanoscale electrostatic measurement with device physics analysis to advance understanding of energy band alignment and charge transport in organic photovoltaic systems.