Ming C. Wu (Advisor)

3D perception is an essential task for autonomous driving, and thus building the most accurate, computationally efficient, fast, and label efficient models is of great interest. My research is particularly aimed at building detection models in the label-efficient (semi/self-supervised) and offline (auto-labeling) settings, areas which have both been under-explored in the literature. To improve 3D detection in these settings, I look to leverage sensor fusion (camera and LiDAR especially) and temporal fusion. In the off-board setting, 3D detection can be greatly enhanced by leveraging...

Quantum computing is a new paradigm of computing that promises exponential performance increases for certain tasks as compared to classical computers. Trapped ions have been identified as a favorable medium – trapped ion quantum computers perform operations on singular atoms with precisely aimed laser pulses calibrated to state transitions within the ions’ energy levels. Bulk free space optics are currently used for qubit manipulation, but the large amount of optical equipment required hinders scalability. Recent pushes to build higher bit systems have identified photonic integrated...

A fabrication tolerant Si grating coupler for 1.762 µm operation is optimized with inverse design, allowing for −30 dB crosstalk between a pair of 133Ba+ trapped ion qubits within expected fabrication variation.