Dr. Mangalam Sankupellay (BCompSc (Hons), MCompSc-Res., Ph.D) is a researcher and lecturer in the Discipline of Information Technology. Her areas of expertise lie in machine learning, signal processing, image processing and artificial intelligence. 

Mangalam's research focuses on developing software tools for automating long-term environmental monitoring.  These tools analyse acoustics data (e.g. forest sounds) to automatically extract relevant ecological events (e.g. the number and types of birds present).  They use machine-learning techniques such as deep learning, neural networks, and clustering algorithms.

Mangalam also investigates how the acoustics data for such environmental monitoring can be captured using Internet of Things (IoT) devices.



Current Research Projects:

  • Recognising Animal Calls in Environmental Acoustic Recordings using Small Number of Labelled Calls: A Semi-Supervised Deep-Learning Approach. Funded by College of Science and Engineering ECR/MCR Research Support Scheme, Jul – Dec 18, AUD 11,956.90
  • Ecological studies on cetaceans with a focus on the Irrawaddy dolphin (Orcaella brevirostris) around Penang Island (MM01_1819), in collaboration with University Science Malaysia. Funded by Ocean Park Conservation Foundation Hong Kong (OPCFHK), Jul 18 – Jun 20, ~AUD 44,500 (HK$ 259, 250)
  • Programming Auto-marking Tool. Funded by JCU Learning and Teaching Grants (E-Assessment), May - Dec 18, AUD 9,990


Recently Completed Projects:

  • AB3 - Australian Backyard Bird Box: Connecting People to the Environment. Funded by Research Infrastructure Block Grant,  James Cook University, Oct – Dec 16, AUD 26,000
  • Persona Association of Students in a Peer-Facilitated Support for Learning Program. Funded by Learning and Teaching Grant, Queensland University of Technology,  Jan 16 – Jun 17, AUD 14,906.90


Mangalam's PatentProcess to design and fabricate a custom-fit implant

A process for the design, development and fabrication of a custom-made reconstruction and a custom-fit implant for medical applications.


Mangalam’s Publications is indexed: 


Community Engagement

  • With the Discipline of IT team, host the Young ICT Explorers Event in collaboration with SAP and CSIRO. YICTE is a non-profit “Technology Fair” competition, which has been created by SAP to encourage school students from grades 4 to 12 to create their best Information and Communication Technology (ICT) related projects.
  • Mangalam is interested in application of machine learning and deep learning techniques to analyse environmental acoustics recordings for long term environmental monitoring. Mangalam also investigates how Internet of Things (IoT) devices can be used for recording the acoustics data that can then be used for such environmental monitoring.
  • Mangalam currently supervises one full time PhD candidate. If you are interested in studying for a Master or PhD with Mangalam, she specialises in the following areas: Machine Learning Deep Learning Artificial Intelligence Internet of Things Human Computer Interaction Visual Analytics Eco-Acoustics Please do contact Mangalam (mangalam.sankupellay@jcu.edu.au) or the Graduate Research School for further information. Research (Honours, Masters and PhD) students can start in either February or July.
  • Mangalam’s teaching interest lie in the areas of management and analysis of data for decision making. She utilizes project-based learning with real world examples and projects to increase student engagement
  • 2014 to 2016 - Postdoctoral Research Associate, Queensland University of Technology (Brisbane, Australia)
  • 2014 to 2016 - Associate Lecturer, Queensland University of Technology (Brisbane, Australia)
  • 2003 to 2007 - Lecturer, University of Malaya (Kuala Lumpur, Malaysia)
Socio-Economic Objectives
  • 2017 - 1st prize winner, 3 Minute Thesis, Early Career Researcher, College of Business, Law and Governance
  • 2016 - 1st prize winner, 3 Minute Thesis, Early Career Researcher, College of Business, Law and Governance
  • 2008 to 2010 - International Postgraduate Research Scholarship
  • 2007 to 2008 - Envedour Australia-Malaysia Award
  • 2016 - Visiting Fellow, Queensland University of Technology
  • 2015 - Member - Women in Technology (WiT)
  • 2015 - Member, Association for Computing Machinery

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Book Chapters
Conference Papers

ResearchOnline@JCU stores 21+ research outputs authored by Dr Mangalam Sankupellay from 2011 onwards.


Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • Dynamic and stochastic vehicle routing for autonomous weed control. (PhD , Secondary Advisor)
  • Contact mining from spatio-temporal trajectories (PhD , Secondary Advisor)

Connect with me

  • 17.047, Faculty of Science & Engineering (Townsville campus)
Advisory Accreditation
Primary Advisor
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