Bryan Wang

TL;DR: CircuitSense is presented, a system that automatically recognizes the wires and electronic components placed on breadboards and uses a combination of passive sensing and active probing to detect and generate the corresponding circuit representation in software in real-time.

TL;DR: CircuitStack is presented, a system that combines the flexibility of breadboarding with the correctness of printed circuits, for enabling rapid and extensible circuit construction and enables circuit reconfigurability, component reusability, and high efficiency at the early stage of prototypes development.

TL;DR: A deep convolutional model is proposed that learns in an end-to-end manner the score- to-audio mapping between a symbolic representation of music called the pianorolls and an audio representation ofMusic called the spectrograms and achieves higher mean opinion score (MOS) in naturalness and emotional expressivity than a WaveNet-based model and two off-the-shelf synthesizers.

TL;DR: BlyncSync is a novel multi-modal gesture set that leverages the synchronicity of touch and blink events to augment the input vocabulary of smartwatches with a rapid gesture, while at the same time, offers a solution to the false activation problem of blink-based input.