Dr. Mohamed Reda Bouadjenek

BSc., MSc., and Ph.D. in Computer Science

Lecturer, Applied Artificial Intelligence

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Short biography

I'm a 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.

What's new?

  • [March, 2021]: Are you a student at Deakin? Are you interested in AI? Are you competitive enough? If so, you are invited to join the Deakin Simpsons Challenge 2021, which we will organize in T1 from March to June 2021! Stay tuned for more information to come soon.
  • [January, 2021]: Our full length paper entitled "A Workflow Analysis of Context-driven Conversational Recommendation" has been accepted at the The Web Conference 2021 (formerly known as WWW). Check out the paper here!
  • [December, 2020]: Our paper "Feature Extraction Functions for Neural Logic Rule Learning" has been accepted at the Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR) 2020. Check out the paper here!
  • [December, 2020]: Our paper "Relevance- and Interface-driven Clustering for Visual Information Retrieval" has been accepted at the Information Systems journal 2020. Check out the paper here!
  • [October, 2020]: Interested Australian domestic candidate for PhD Position in NLP/Machine Learning? Please feel free to drop me a line or contact my colleague Imran Razzak (imran.razzak@ieee.org). Here is an awesome video of Deakin University located in the beautiful city of Geelong.
  • [November, 2020]: I'm co-organizing the ICSOC-2020 Tutorials related to any of the conference topics with colleagues from U. of Paris Descartes and Ontario Tech University.
  • [May, 2020]: I gave a series of lectures on NLP at Deakin University in which I presented: Word embeddings, Transformers, and BERT!
  • [April, 2020]: Our paper "Bayesian Networks for Data Integration in the Absence of Foreign Keys" has been accepted at the IEEE Transactions on Knowledge and Data Engineering journal 2020. Check out the paper here!
  • [January, 2020]: Our paper "Evaluation of Machine Learning Algorithms for Predicting Readmission after Acute Myocardial Infarction Using Routinely Collected Clinical Data" has been accepted at the Journal of Canadian Journal of Cardiology 2019. Check out the paper here!
  • [November, 2019]: I joined the School of Information Technology at Deakin University as a Lecturer (Assistant Professor) to work on Artificial Intelligence.

Contact Information

  • Position: Lecturer, Applied Artificial Intelligence
  • Department: School of Info Technology
  • Faculty: Faculty of Sci Eng & Built Env
  • Campus: Geelong Waurn Ponds Campus
  • Office: KA3.251.04W15 or KA5.201.W26
  • Tel: +61 3 522 78380
  • Email: deakin email or gmail email

Disclaimer

This is a personal website. The opinions expressed are mine and do not necessarily represent the views of my employer.


© Deakin University 2021. Last update 10/02/2021.
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