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followers: 19.0 following: 11.0 repos: 21.0 gists: 0.0

Name: Amaan Izhar

Type: User

Company: Master's of Computer Science Student @ University of Malaya

Bio: Machine/Deep Learning, Computer Vision, Natural Language Processing, Multimodality, AI in Medicine

Location: Kuala Lumpur, Malaysia

Hi 👋, I am Amaan Izhar

/about-me

🎓 I am a Master's of Computer Science student @ University of Malaya / FCSIT.
- My research is supervised/co-supervised by: Dr. Norisma Idris & Dr. Nurul Japar.
- Curriculum Vitae.

📚 I’m currently preparing my thesis and a journal paper under the field of Artificial Intelligence and Deep Learning in Medical Image Analysis & Radiology Report Generation.
👯 I’m looking to collaborate on Machine Learning & Deep Learning projects/papers related to my research interests.
💬 I am passionate about research and new-ideas that glue together interdisciplinary fields via Machine Learning & Deep Learning technologies. Furthermore, I am working my way to earn a PhD eventually and contribute significantly towards academic research under AI-ML.
⚡ Fun Facts:
- I like to read technical books.
- I love to listen raps & violin OSTs.
- I kill time by watching anime/tv-shows.
- I like to have conversations about code/computer-science/philosophical topics in general.

/research-interests

Interdisciplinary Machine Learning & Deep Learning.
Multimodal Representation/Architectures.
Natural Language Processing.

/skills

Programming Languages:
Databases:
AI-ML:
Web:
Miscellaneous:

/publications

coming soon...

/contact-me

Let's connect, collaborate, and have a conversation about potential papers/projects related to AI-ML.

Amaan Izhar's Projects

car-evaluation

An end to end machine learning project for evaluating acceptability of a car based on various features.

chronicles

It is a full-stack blog web application built with React on the frontend and Django/DRF on the backend integrated with AWS-S3 & AWS-RDS services.

credit-card-fraud-detection

A machine learning project on an imbalanced credit card data that detects fraudulent transactions.

deep-detect-my-handwriting

An end to end deep learning project made by using streamlit for predicting handwritten drawn digits/alphabets via CNN & ANN.

eda-classification-clustering-using-pyspark

A big data project where PySpark was utilized in a binary classification as well as clustering task.

fulladder-circuit-simulator

A text-based simulation of the operation of a n-bit binary adder and subtractor using full adder circuit to add/subtract two positive integer numbers.

google-pagerank

Usage of numerical analysis techniques to solve and demonstrate the Google pagerank problem.

kfupm-clubzz

A full stack desktop app serving as a KFUPM club management system.

The KFUPM Community App streamlines communication between community members and enable them to seek assistance for household chores, get notified of public events/emergencies, buy-sell second-hand products and much more.

lumpy-skin-disease-classification

Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.

mail-merge-organizer

It is a desktop GUI application.

middle-eastern-weather-phenomenon-classification

A deep learning project for detecting weather conditions in the Middle Eastern region from RGB images.

mlify

A simple semi-autoML web app designed for beginners.

nlpappy

A REST API for 2 NLP models that exercise binary and multilabel classification of text.

note-it-down

It is a full-stack note-taking web application built with React on the frontend and Django/Django-Rest-Framework on the backend.

nqueens-astar-genetic-algorithm

N-Queens GUI solver using A* (A-Star) and Genetic Algorithm.

poker-hand

An attempt to predict poker hands using machine and deep learning techniques in addition to a manual coded method.

r2gmeds

Official implementation of our paper - R2GMedS: Radiology Report Generation with Stacked Medical Signals of Contextual Biomedical Entities and Auxiliary Knowledge

trie-data-structure

It is a desktop GUI application for a visually traceable Trie data structure.

video-captioning-for-arabic-sign-language-recognition-at-sentence-level

An encoder-decoder deep learning model (with/without attention mechanism) where the input is an arabic sign-language video and the output is its translation in text format.