We employ atomic layer deposition (ALD) to design and manipulate interfaces in various nano- and micro-structured semiconductors. By precisely controlling interface properties, we realize advanced doping-free junctions and field-induced charge transport. This approach enables the development of high-performance optoelectronic devices that overcome the limitations of conventional thermal processes. Ultimately, our goal is to establish universal interface design strategies for next-generation photonic and electronic applications.

Our group develops ALD-engineered interlayers optimized for perovskite-based tandem solar cells. By suppressing ion migration, tailoring energy band alignment, and enhancing long-term durability, we achieve record efficiencies with improved operational stability. This research bridges fundamental interface chemistry with scalable thin-film processing. In doing so, we aim to accelerate the commercialization of highly stable tandem photovoltaics for future renewable energy systems.

We design real-time fire imaging systems that leverage solar-blind ultraviolet detection to capture unique photon signatures from combustion. By integrating ALD-enabled junction engineering and nanostructured semiconductors, we enhance quantum efficiency beyond physical limits. This approach allows the development of lightweight, high-sensitivity imaging platforms. In the long term, our vision is to integrate these systems with drones and IoT technologies for proactive wildfire monitoring and disaster prevention.

We combine nanophotonic design with artificial intelligence and machine learning to discover novel metasurfaces for sensing and imaging. High-throughput FDTD simulations generate large datasets, enabling inverse design and accelerated optimization. The fabricated structures unlock new possibilities for ultraviolet-to-infrared photonic devices. Our goal is to establish a scalable AI-driven platform that pioneers the next generation of multifunctional optoelectronic sensors.