BCI Research Proposal
TLDR; This post was adapted from a research proposal that I wrote while applying to the NSF GRFP.
Posts by Category
- Biometrics 6
- NLP 4
- MLOps 3
- school 2
- machine learning 2
- Paper Reviews 1
- Robotics & Hardware 1
- Data Science Teaming 1
Biometrics
BCI with Entrainment
TLDR; Brain control interface (BCI) app using entrainment.
Detecting Entrained Signals - Part II
TLDR; I detected entrained brain waves from the EEG headset.
Detecting Entrained Signals - Part I
TLDR; I detected entrained brain waves from the EEG headset.
KMeans Clustering Results
TLDR; KMeans can be used to discriminate between different time segments within an EEG recording.
EEG Setup
TLDR; I’m getting started with biometric sensor data, namely EEG.
NLP
Knowledge Graph Construction - Named Entity Recognition (NER)
TLDR; I’m exploring how to extract entities from text in an unsupervised fashion.
Knowledge Graph Preliminaries
TLDR; I’ve been researching ways to construct knowledge graphs from text and then use them for NLP reasoning tasks.
Entrainment with Visual Stimuli
TLDR; I created a strobe video that my brain can entrain with.
Association for Computational Linguistics (ACL) Conference
TLDR; I recently attended the ACL conference, where I learned about dialog systems and NLP for robotics.
MLOps
KubeCon 2019
TLDR; I recently attended KubeCon (https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/), where I learned about how Kuberne...
MLOps Tooling
TLDR; I recently attended the MLOps NYC conference (https://www.mlopsnyc.com/), where I explored some neat new tools for building and managing machine learni...
Designing a Deep Learning Desktop Machine
TLDR; Designing a deep learning desktop machine for multiple users.
school
MS in Computer Science at Columbia: Semester Two, Spring 2023
TLDR; I finished the second semester (spring ‘23) of my MSCS program at Columbia.
MS in Computer Science at Columbia: Semester One, Fall 2022
TLDR; I finished the first semester (fall ‘22) of my MSCS program at Columbia.
machine learning
Yet Another Variational Autoencoders Tutorial
TLDR; I’m working through the details of VAEs once and for all.
ICLR 2024 Roundup
TLDR; I’m sharing my personal reactions to ICLR 2024.
Paper Reviews
Tackling Climate Change with Machine Learning Paper Review
TLDR; Paper review of https://arxiv.org/abs/1906.05433, Tackling Climate Change with Machine Learning
Robotics & Hardware
Building a JetBot
TLDR; I built a little JetBot equipped with deep learning based collision avoidance and object tracking systems.
Data Science Teaming
On Community
TLDR; I’ve been interacting with the open source community a bit recently and they’re a great bunch of developers.