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Hi 👋

I am Mina Kambar, a Ph.D. candidate and a research assistant in the department of Computer Science at UNLV. Here are what I like to learn more about:

  • I have a three-year background in software development, where I contributed to Android Applications, website design, and Java backend server teams. My passion for software-related work remains unwavering. 🌱

  • Over the past four years, I've delved deep into the world of Machine Learning and Deep Learning, exploring their applications across diverse domains. 😇

  • Natural Language Processing holds a special place in my heart. The concept of enabling computers to comprehend human language fascinates me. I've honed my skills in text processing, particularly in the context of medical texts. Currently, I am a research graduate assistant at UNLV, dedicated to advancing the field by working on Large Language Models (LLMs) for medical corpora.

    Where to find me:


GIF


languages and tools

Mina Esmail Zadeh Nojoo Kambar's Projects

alzheimer-s-data-visualization-website icon alzheimer-s-data-visualization-website

This project is a website using the vue.js framework to visualize Alzheimer's drug development pipeline data. The website is interactive, and users can filter the data based on various constraints.

chemical-gene-chemical-gene-relation-extraction-with-gnn icon chemical-gene-chemical-gene-relation-extraction-with-gnn

The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.

clinicaltrial icon clinicaltrial

This java server uses the spring boot framework that recreates the clinicaltrials.gov database models in PostgreSQL. In addition, it generates RESTful APIs for the front-end website.

deer icon deer

The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)

housing_price icon housing_price

A simple Neural Network Model to predict the housing price based on the house features like bedrooms, area, etc. We are using kaggle Housing Prices Dataset. The data has multicollinearity prob

query-ranked-list-mapreduce icon query-ranked-list-mapreduce

A MapReduce code to generate Inverse document frequency indexes (inverted index) for a collection of documents. Then the index is used to build a vector space retrieval engine and rank the documents for each query.

tri-al icon tri-al

A visualization and analytics platform for clinicaltrials.gov data that enables researcher to interpret the data in a convenient way.

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