Greg Lewis
MFA 1 - Music
Mira Spremich
Endure Yikai Luc Wu, Kai-Luen Liang, Madyson Thornquest, Max Harper, Nick Chang
Perry Cook
COVID Pan Drum: A Robot Tongue-Drum Rendering of the SARS-2 COVID Virus Genome I’m building a custom robot to play a little lap-sized tongue (steel) drum. A program will read through the roughly 30k base pairs in the COVID 19 (SARS-2 COVID Wuhan Seafood Market) DNA sequence. Particular (known) functioning segments will be sonified when […]
Kenneth Chan
A music collage I made with reversed samples of my previously recorded music.
Kai Luen Liang
Flag ASMR “On Sept 11th, 2001 I watched the twin towers falling with my father. Glued to the TV. A silent demolition. An American reality TV show. In the weeks that followed, I started to see American flags everywhere. Especially from immigrants of all colors, flying the flag out of a sense of fear of […]
Mechatronic Art and Music
Kai-Luen Liang Tomorrow There Will Be Wind ( Automatic Windchimes ) A performance of playing an Arduino controlled set of wind chimes. Vibration motors are activated through a motor driver creating divisions and polyrhythms based on various “states.” First iteration prototype with beer bottle activation. Trevor Bock 4-Note Bottle Blowing Instrument I have always […]
Mengqing Yuan
B-body “My B-body” is a project I created during home quarantine. It is based on a poem I wrote about the relationship between my physical body and my consciousness. The text of the poem reads: My B-body My body doesn’t belong to me It wants to be free It wants to come apart It wants […]
Xiaoyun Zeng
Dance Machine This project aims to discuss what’s the function of space, to explore the relationship between objects’ physical movements and spatial configuration in a different way, and to consider how we search/use/limit/share the space for a different purpose. The artist takes a dynamic sculpture approach to investigate the realm between visible the invisible. The […]
Dongpu Ling
ML Landscape I am interested in the inaccurate and unpredictable result that a machine can make. In order to understand its “mind”, I train the machine using images that have not been cropped, to see how it understands a thing that has not be seen before.

