Dr Mohamed Reda Bouadjenek

I am a Senior Lecturer of Applied Artificial Intelligence within the School of Information Technology at Deakin University, Australia. In my role, I contribute to the school's research activities by leading research efforts and collaborating with peers and students. Currently, I co-lead the Machine Learning for Decision Support (MLDS) Group which core's objective is to design efficient and scalable data analysis and machine learning algorithms, encompassing descriptive, predictive, and prescriptive analytics for large-scale datasets.

My research focuses on developing data-driven decision-making techniques to extract valuable knowledge from data. I explore a broad range of topics related to the data-driven fields of Machine Learning, Deep Learning, and Information Retrieval. I have applied analytical and algorithmic tools from these fields to real-world problems in diverse applications, such as recommender systems, interactive visual search interfaces, social network analysis, and data quality.

Prior to joining Deakin University, 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 INRIA France (2014-2015). 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 USTHB Algeria in 2008.

Jan. 2024 – Present: Senior Lecturer at Deakin University, Geelong, VIC, Australia. 

Nov. 2019 – Dec. 2023: Lecturer at Deakin University, Geelong, VIC, Australia.

Nov. 2017 – Oct. 2019: Research Fellow at the University of Toronto, Toronto, ON, Canada. 

Sep. 2015 – Sep. 2017: Research Fellow at The University of Melbourne, Melbourne, VIC, Australia. 

Jul. 2015 – Aug. 2015: Visiting researcher Oregon State University, Corvallis, OR, USA. 

Jan. 2014 – Jul. 2015: Postdoc at INRIA, Montpellier, France. 

Nov. 2014 – Dec. 2014: Visiting researcher UCSB, Santa Barbara, CA, USA. 

Aug. 2013 – Dec. 2013: Visiting researcher NICTA, Canberra, ACT, Australia. 

Mar. 2010 – Mar. 2013: Research Engineer at Alcatel-Lucent Bell Labs, Nozay, France. 

Apr. 2009 – Sep. 2009: Master Student Internship at DAVID Lab, University of Paris-Saclay, Versailles, France. 

Information Retrieval, Biomedical NLP, Social Network Analysis, Recommender Systems.

Fellow of the UK AdvanceHE, formerly known as Higher Education Academy (HEA) [2023]

Information Technology

Computer Science

Artificial Intelligence

• SIT770-330 - Natural Language Processing (2024 T1).
• SIT799 - Human Aligned Artificial Intelligence (2020 T2, 2021 T2, 2022 T2, 2023 T2).
• SIT112 - Data Science Concepts (2023 T1).
• SIT328 - Communicating Information Technology Innovations (2023 T1).
• SIT102 - Introduction to Programming (2022 T1&T2).
• SIT744 - Deep Learning (2020 T2, 2021 T1).
• SIT740 - Research and Development in Information Technology (2020 T1, 2021 T1).

Computer Science; Machine Learning; Deep Learning.

Co-leader of the Machine Learning for Decision Support (MLDS) Group, under the Machine Intelligence Lab and Centre for Data to Learning at Deakin School of IT.
 

• Deakin School of IT, Outstanding Leadership Award, 2023. This award recognises recognises outstanding leadership in building and growing a productive and impactful research group called Machine Learning for Decision Support (MLDS) at the Geelong Waurn Ponds campus.
• Deakin Vice-Chancellor's Award for Outstanding Contribution to Environmental Sustainability, 2022. This award recognises excellent contribution to the AI Competition for Sustainable Development Goals and the advancement of the University’s Strategic Plan, Deakin 2030: Ideas to Impact.
• Deakin School of IT, Learner Engagement Award for The Deakin Simpsons AI Challenge, 2022. This award recognises excellent contribution to the Deakin student community through the organization of an AI competition that focused student engagement on practical skills development with the goal of strengthening graduate employment outcomes.
• Deakin School of IT, Industry Engagement Award, 2022. This award recognises excellent contribution for excellence in industry collaboration and partnerships.
• Best Demo Paper at the 23rd IEEE International Conference on Mobile Data Management (MDM), 2022. Title: “Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment”.