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Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Smart Compost Bin

Developing a low-cost, 3D printed device for automatically measuring food waste using state-of-the-art CV models

publications

Learning Affective Responses to Music from Social Media Discourse

Published in Signals and Communications Technology, 2023

Continuing our prior work on music emotion estimation, we develop a large dataset of musically relevant social media discourse and train a BERT-based lanugage model to predict musical valence and arousal, achieving state-of-the-art performance on the task of estimating music emotion.

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Smart Compost Bin for Measurement of Consumer Food Waste

Published in CoFI, 2024

We present the Smart Compost Bin, a novel food waste measurement device. Our low-cost 3D printed compost bin allows household users to gain insights on their food waste and compost habits, using a camera and environmental sensors to automatically classify and quantify food disposals. Using this device, we propose a pilot study to leverage volunteer households to annotate food waste images taken from our device, enabling the development of a robust food waste image segmentation model.

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talks

teaching