Sara Mirabi

PhD candidate in NLP and AI at Deakin University, researching goal-oriented dialogue systems and answer validation.

Explore My Work

About Me

My journey, my passion, and my work.

My Professional Bio
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Skillset

My technical capabilities and tools I use.

Languages
Python
TypeScript
SQL
Java
PHPPHP
Frameworks & Libraries
PyTorch
TensorFlow
Scikit-learn
Hugging Face
Next.js
React
Tools & Platforms
Git & GitHub
Docker
Google Cloud Platform
Firebase
Jupyter Notebooks

Research Interests

The core topics that drive my academic work.

Intelligent Dialogue Systems

Building advanced conversational AI that can understand context, intent, and user goals to provide meaningful and coherent interactions.

Large Language Models

Investigating the parallels between Large Language Models and neural processes to create more human-like AI reasoning and learning.

AI for Language and Thought

Exploring how AI can augment and extend human cognitive abilities, focusing on the intersection of language processing and ideation.

Publications

A selection of my published work.

Investigating answer validation using noise identification and classification in goal-oriented dialogues

Sara Mirabi, Bahadorreza Ofoghi, John Yearwood, Diego Molla-Aliod and Vicky Mak-Hau

Published in Multimedia Tools and Applications
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Intrusion Detection in Virtualization in Cloud Computing Using a Radial Basis Function Neural Network Supervised

Sara Mirabi, Saeed Alizadeh

Journal of TMachine Intelligence
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My GitHub Activity

A look at my contributions and projects.

Contribution Graph (Last Year)

Sara Mirabi's Github chart

Contribution graph generated by ghchart.rshah.org.

My Projects

A selection of my public repositories.

Get In Touch

I'm open to collaborations and new opportunities.