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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
About
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Posts
Future Blog Post
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Blog Post number 4
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
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
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
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
Security Analysis of Smart Contracts
A smart contract is a self-executing contract with the terms of the agreement between buyer and seller being directly written into lines of code. The code is stored on a blockchain across a distributed, decentralized blockchain network. The code controls the execution, and transactions are trackable and irreversible. Because the smart contract is irreversible, we must audit the written program to ensure it is secure. 
Leveraging Language Models for Vulnerability Detection and Generation in Solidity Smart Contracts
This research focuses on enhancing the security of smart contracts written in Solidity by fine-tuning large language models (LLMs) for vulnerability classification and the generation of potentially vulnerable code. The project explores both binary and multi-class classification strategies to identify different types of vulnerabilities within smart contract code. By curating a specialized dataset, the study aims to improve the detection of security flaws that can lead to exploits in decentralized applications. In addition to classification, the research also investigates the use of LLM encoders to predict specific buggy lines of code. This approach is intended to enhance the precision of vulnerability detection, enabling developers to address issues at a more granular level. The computational resources of the Texas Advanced Computing Center (TACC) are being utilized to support the fine-tuning process and large-scale experimentation, allowing for efficient model training and validation. Ultimately, this work aims to contribute to the development of more secure smart contract ecosystems by providing robust tools for identifying and mitigating vulnerabilities at both the code level and during development.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.