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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

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

publications

Towards Automatic Localization and Anatomical Labeling of Intracranial Depth Electrodes in Brain Images

Published in Engineering in Medicine and Biology Conference, 2020

This paper outlines the pipeline for semi-automatically localizing and labeling SEEG depth electrodes in 3D images of brain volumes. Fully automating this task is left to future work.

Recommended citation: Huynh C, Li, A Gonzalez-Martinez J, Sarma SV. Towards Automatic Localization and Anatomical Labeling of Intracranial Depth Electrodes in Brain Images. Conf Proc IEEE Eng Med Biol Soc. 2020. https://sarmalab.icm.jhu.edu/publications/

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks

Published in arXiv Machine Learning, 2021

This paper proposes a manifold-aware variation of the random forest algorithm for structured data, which has empirically demonstrated high statistical efficiency relative to deep neural networks.

Recommended citation: Perry, R., Li, A., Huynh, C. et al. Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. arXiv Machine Learning (2019). https://doi.org/10.48550/arXiv.1909.11799

Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix

Published in arXiv Machine Learning, 2022

This paper studies the analytical properties of the rank-one perturbation matrices in linear dynamical systems. This provides additional analysis on neural fragility, which is a recently proposed model by Li et al. (Nature Neuroscience, 2021) predicting surgical outcome for epilepsy patients.

Recommended citation: Li, A., Huynh, C.. Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix (2022). https://doi.org/10.48550/arXiv.2202.07026

talks

teaching

JHU Peer-Led Team Learning (PILOT)

Tutoring, Johns Hopkins University, Office of Academic Support, 2018

PILOT Leader for 030.205 Organic Chemistry I (Fall 2018) and 553.171 Discrete Math (Spring 2019).