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Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

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: August 14, 2015

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: August 14, 2014

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: August 14, 2013

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: August 14, 2012

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

Twitter Analysis for Disaster Management

This project aims to explore the potential of Twitter data for disaster management and risk reduction. The project includes several Python scripts that can be used for collecting, preprocessing, and analyzing Twitter data related to natural hazards and disasters.

Twitter Data Analytics Dashboard

The project involves the development of a Tableau dashboard to visualize the results of an extensive Twitter data analysis focused on the 2018 California Campfire.

Harnessing LSTM and NLP Techniques for Twitter-Based Disaster Analysis: Insights from the 2018 California Camp Fire

This research presents a novel approach to disaster analysis using Twitter data, focusing on the 2018 California Camp Fire. The study was published in 2022 and implements LSTM-based topic classification to enhance understanding of public discourse during the disaster.

Leveraging NLP and Twitter Mining for Disaster Management: A Case Study of Hurricane Harvey

This research presents an innovative approach to extracting valuable information from social media data during natural disasters, focusing on Hurricane Harvey in 2017. The study was published in the journal Sustainable Cities and Society in 2022.

Harnessing NLP and Big Data from Twitter for Enhanced Disaster Response: Insights from Hurricane Ian

This research presents a cutting-edge approach to analyzing social media data during natural disasters, focusing on Hurricane Ian in 2022. The study was published in the International Journal of Disaster Risk Reduction in 2023.

Deep Learning for Intelligent Fault Detection in Analog Circuits

This research presents a novel approach to fault detection in analog circuits using deep learning techniques. The paper was published in the journal Analog Integrated Circuits and Signal Processing in 2021.

Smart Contract for Crowdfunding: CampaignFactory and Campaign

This project showcases a smart contract system for managing crowdfunding campaigns on the blockchain. It includes a factory contract for deploying new campaigns and a campaign contract with functionalities for contributions, funding requests, and approvals.