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Dr Abdur Rahim Mohammad Forkan

Senior Research Engineer - Software and Data Analytics


Dr. Forkan is an early career researcher working in the area of digital health and data analytics. He is currently a Senior Research Engineer (Software and Data Analytics) in Digital Innovation Lab of Swinburne Innovation precinct. His research interests include health informatics, ubiquitous computing, data science, cloud computing and applied machine learning. He obtained his PhD in Computer Science from RMIT University, Australia in 2016.  In his PhD thesis he worked biomedical data analytics and developed a cloud-based, predictive and context-aware system for Ambient Assisted Living environments. He proposed learning techniques for detecting and predicting clinical abnormalities through using context correlations and data mining. The results contribute a scalable model that provides versatile context-aware services using appropriate machine-learning models. He has published in top-ranked journals and conferences. He received RMIT CSIT publication award in 2015. 

Prior to joining Swinburne University he worked as Research Associate in RMIT University in a project funded by Geo-Science Australia and developed a system for spatial analytics. He is also a Sessional Academic in RMIT University for 6 years and conducted several courses in the area of cloud computing, programming, data analytics and software engineering.

Dr. Forkan obtained his B.Sc. degree in computer science and engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh in 2007. He worked as Software Engineer in Relisoruce Technologies Ltd, a leading USA-based software outsourcing company in Dhaka, Bangladesh from 2007 to 2012. There he worked in different software projects for world-renown companies such as Warner Brother’s, MEI Group, and Electronic Arts. 

Research interests

Cloud Computing; Machine Learning; Digital Health; Ubiquitous Computing

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Co-Supervisor.

Fields of Research

  • Health Informatics And Information Systems - 420308
  • Data Mining And Knowledge Discovery - 460502
  • Pervasive Computing - 460809

Teaching areas

Cloud Computing;Data Visualisation;Database Systems;Software Engineering


  • 2015, Other, CSIT Publication Award, RMIT University
  • 2012, Other, NICTA Research Scholarship, National ICT Australia (NICTA)


Also published as: Forkan, Abdur; Forkan, A.; Forkan, A. R. M.; Forkan, Abdur Rahim Md.; Forkan, Abdur Rahim Mohamad; Forkan, Abdur Rahim Mohammad; Mohammad Forkan, Abdur Rahim
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2021: An IoT solution for measuring knife sharpness and force in Red Meat Processing plants *; All Energy Pty Ltd - Fund Scheme
  • 2021: Design and Development of Navigator Mobile Application for Northern Health *; Northern Health
  • 2021: Research and Development of a Solution for Question/Answer Generation and Assessment from Video using Natural Language Processing *; VidVersity Fund Scheme
  • 2020: A low-cost labeling solution for product authentication *; iMOVECRC
  • 2020: Development of Proof-of-Concept AI-based solution for SoA (Statement of Advice) Assessment *; Fourth Line
  • 2019: Connected roads ? Road safety data and analysis *; iMOVECRC
  • 2018: Development of a deep-learning based solution for detecting corrosion in industrial assets using images captured from drones *; Robonomics AI
  • 2018: Improving oral medication adherence and reducing medication errors in cancer treatment *; Victorian Cancer Agency Funding Scheme
  • 2017: Assisted Living Anomaly Detection Project *; SP TechSolutions

* Chief Investigator

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