Research

• Metasurfaces:

Metasurfaces are ultrathin optical structures composed of arrays of subwavelength nanostructures that can locally control the phase, amplitude, and polarization of light. By carefully designing the geometry of each nanostructure, metasurfaces can perform complex optical functions such as beam steering, focusing, polarization conversion, and holography within a device only a few hundred nanometers thick. These compact and versatile devices are used in imaging, quantum light control, and advanced optical information processing.

• Photonic integrated circuits (PICs):

Photonic integrated circuits (PICs) combine multiple optical components such as waveguides, couplers, and modulators on a single chip. Similar to how electronic integrated circuits combine many transistors, PICs integrate various optical elements to perform functions like light generation, routing, modulation. They enable miniaturized, low-loss, and scalable optical and quantum systems and are essential for developing nanophotonics and quantum photonic technologies.

• Metasurface systems for advanced optical and quantum imaging and sensing:

Metasurface platforms are utilized to develop compact and multifunctional systems for imaging and image sensors. These systems enable high-resolution and polarization-selective imaging within a significantly reduced physical footprint. Replacing conventional bulk optics with planar metasurfaces allows substantial miniaturization of optical instruments while maintaining or enhancing their performance. The approach is further extended to quantum regimes to realize quantum imaging, quantum holography, and quantum tomography, enabling measurements beyond classical limits. 

• Quantum light generation and optical processing with PICs:

PICs are designed to generate, guide, and process both classical and quantum light within a chip-scale platform. Nonlinear optical elements are utilized for efficient frequency conversion and entangled photon-pair generation, while interferometric and modulation structures perform stable optical and quantum signal processing. These integrated architectures provide low-loss, compact, and stable operation, enabling coherent light control for applications in communication, sensing, and quantum information technologies. The objective is to establish scalable integrated platforms that unify nonlinear optics, photonic signal processing, and quantum light manipulation.

• Computational design and optimization for advanced photonic/quantum devices:

Computational design techniques, including inverse design and AI-assisted optimization, are utilized to create photonic and quantum devices with tailored optical properties and enhanced performance. These numerical approaches enable exploration of vast design spaces and discovery of device geometries that achieve specific optical functionalities efficiently. The goal is to accelerate the design and realization of complex optical and quantum devices that are compact, robust, and manufacturable with high precision.

• Artificial intelligence for adaptive optical and quantum systems:

Artificial intelligence methods are applied to analyze optical and quantum data, calibrate experimental setups, and optimize device performance. Machine learning algorithms extract patterns from optical and quantum measurements and autonomously adjust system setups to maintain optimal operation. This approach leads to adaptive and intelligent optical and quantum systems with improved accuracy, stability, and reproducibility, enabling new capabilities in measurement, imaging, and information processing.