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Name: Mohamed Reda Bouadjenek

Type: User

Company: Deakin University

Bio: Ph.D. | My research spans a broad range of topics related to the data-driven fields of Machine Learning, Deep Learning and Information Retrieval

Twitter: rbouadjenek

Location: Geelong, Australia

Blog: https://rbouadjenek.github.io/

Hi there 👋

I'm a Senior Lecturer (Assistant Professor) of Applied Artificial Intelligence in the School of Information Technology at Deakin University, Australia. Previously, I was a Research Fellow at The University of Toronto (2017-2019) and at The University of Melbourne (2015-2017) and before that, I was a postdoc researcher at the French Institute for Research in Computer Science and Automation (INRIA 2014-2015), France. I earned a Ph.D. and an MSc in Computer Science from the University of Paris-Saclay France respectively in 2013 and 2009, and a BSc in Computer Science from the University of Science and Technology Houari Boumediene in 2008. My research spans a broad range of topics related to the data-driven fields of Machine Learning, Deep Learning and Information Retrieval. I have applied analytic and algorithmic tools from these fields to solve real-world problems related to diverse applications such as recommender systems, interactive visual search interfaces, social network analysis, and data quality.

Research Interests

I'm mainly interested in the following topics: Information Retrieval, Biomedical Text Mining, Social Network Analysis, Machine Learning, Deep Learning, Recommender Systems, Databases, Data Quality, and Data Analysis.

Mohamed Reda Bouadjenek's Projects

course-nlp

A Code-First Introduction to NLP course

custom-op

Guide for building custom op for TensorFlow

data-science--cheat-sheet

Cheat Sheets

deakin-ai-challenge2021

The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deakin-ai-challenge2022

The Deakin Simpsons challenge 2022 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deakin-ai-challenge2023

The Deakin Simpsons challenge 2023 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deepqa

Optimizing F1-Score for Text Spans Extraction in Question Answering Systems

dqbioinformatics

This repository contains all the material used in the data quality for bioinformatics project.

hip-tensorflow

Hawkes Intensity Process Implemented in TensorFlow

keras

Deep Learning for humans

keras-examples

This repo contains my keras examples

keras-io

Keras documentation, hosted live at keras.io

mask-mlhc

Hierarchical Classification

padding_analysis

patent-search

This project aims to develop an IR platform for Patent Prior Art Search Project. This implementation is developed on the top of the Lucene IR search engine. To get the CLEF-IP indexes that work with this implementation, please send an email to the main contributor.

rbouadjenek Goto Github PK

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