Our group's research is focused on the study of integrated optical devices and systems, including both linear and nonlinear phenomena. Current research areas include silicon photonics, nonlinear optics, graphene photonics, optical signal processing and characterization of the nonlinear optical properties of emerging materials.

Silicon Photonics

The study of nanophotonic devices and systems on CMOS compatible material platforms is largely driven by industry efforts to overcome the electronics bottleneck. Devices which have sub-micron feature sizes enable interesting dispersive and wavelength selective behavior to come about. Such devices are critical building blocks for larger scale optical interconnect systems which have applications in microprocessors, data centers and telecommunications.

Nonlinear Optics

Nonlinear optical phenomena is highly dependent on properties of the host material. Materials with a high nonlinear refractive index and which can be easily fabricated into integrated waveguide devices are central to our study of nonlinear optical phenomena. Therefore, a key research area in our group pertains to the characterization of nonlinear optical properties of materials.

Graphene Photonics

Graphene is a 2D material consisting of a single layer of carbon atoms, fast emerging as a key material in electronics. More recently, it is being studied for its interesting optical properties, and has found applications in optical modulation, photodetection and light generation. The study of graphene integrated with integrated optical devices is an area of focus within our group.

Optical Signal Processing

The processing of optical signals transmitted through integrated optics devices may utilize both linear and nonlinear optical phenomena. Optical processing functionalities such as multiplexing/demultiplexing, phase filtering and wavelength switching are common techniques used in telecommunications. The nano-scale features and sizes available in high-index contrast material platforms enable such functionalities to be executed with much lower powers, higher efficiencies and ultra-smal footprints.