MaViDH has a track record of designing applied projects that secured about $12 million since 2020.
2025
Sourabhi Debnath, Tanmoy Debnath, and Manoranjan Paul, “Developing Artificial Intelligence Supported Robust and Explainable Models to Diagnose Brain Diseases Utilising Brain Magnetic Resonance Images (MRI)”, AICF project funds, $10,000, 2025
2024
Tomoaki Otsuki, Manoranjan Paul, Quazi Mamun, et al. (2024), “ASPIRE: Research on Sensing, Actuation, Communication, and Mobile Intelligence Infrastructure for Ambient Intelligence”, Japan Science and Technology Agency (JST) ASPIRE (Adopting Sustainable Partnerships for Innovative Research Ecosystem), Japan International grant, $5,000,000, 2024-2029.
Quazi Mamun, and Manoranjan Paul, “Enhancing Automated Interaction: A Pilot Study on Improving AI Chatbot Accuracy and Response Time,” $4,000, 2024
Sourabhi Debnath, Tanmoy Debnath, and Manoranjan Paul “Miracle material graphene and its potentiality in wearable sensor development for human health monitoring,” AICF project funds, $10,000, 2023-2025
2023
Manoranjan Paul, Anwaar Ul-Haq; Louise Hardman and Ganna Pogrebna, “HUNTER GATHERER MAMA – Indigenous Women’s Social Enterprise and Digital Marketplace to Trade Ghost Nets”, Parks Australia Grant Scheme, Australian Government, $130,000, 2023-2025.
Manoranjan Paul, Leigh Schmidtke, Shyh Wei Teng, and Manzur Murshed, “Developing a Hyperspectral Imagery based Decision Support System for Soil Assessment using Vegetation Pattern”, Soil CRC PhD Project, $250,000, 2023-2025.
Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, “Drone-based multimodal imaging for effective soil health assessment, monitoring, and decision support systems”, Soil CRC PhD Project, $250,000, 2023-2025.
Manoranjan Paul, Nathan Robinson, Liang Wang, and Sabih-Ur Rehman, “Development of a grower focused mobile app for estimating, analysis and recording soil properties,” Soil CRC PhD Project, $250,000, 2023-2025.
2022
Peter Adams, Tarnya Cox, Anwaar Ul-Haq, Manoranjan Paul, Tom Low, “Automated thermal imagery analysis platform for multiple pest species," Centre for Invasive Species Solutions, Western Australia DPIRD, NSW DPI, Queensland DAF, $488,500, 2022-2024.
Rafiqul Islam, Manoranjan Paul, Zahid Islam, and Quazi Mamun, “Designing and Developing Imaging Software Tools for Extracting Shipping Container Information in Real-Time using Offline Hand-Held Mobile Devices,” GSK Global Pty Ltd, $35,000, 2022-2023.
2021
David Taubman, Manoranjan Paul, Manzur Murshed and Gene Cheung, “DP190102574: Efficient multi-view video coding with cuboids and base anchored models”, Australian Research Council (ARC) Discovery Project, $380,000, 2020-2023.
Ben Morrison, Natalie Morrison, Manoranjan Paul and Yeslam Al-Saggaf, "Investigating the psychological barriers to accepting advice from ‘thinking’ machines in the workplace," Centre of Work and Safety, NSW Government, $107,998, 2020-2021.
Manoranjan Paul, Leigh Schmidtke, Suzy Rogiers, Lihong Zheng (2018-2021), “A smartphone-based decision support tool to inform on fruit volume and optimal harvest time for large-scale NSW vineyard management,” Wine Australia and NSW DPI, $347,601, 2018-2021.
Suzy Rogiers, Bruno Holzapfel, Manoranjan Paul, Leigh Schmidtke, Lihong Zheng, Rob Walker, Sophie Parks, and Darren Fahey (2018), “Vine Nutrition: A diagnostic app for nutrient disorder assessment,” Wine Australia and NSW DPI, $424,280, 2018-2021.
Student projects
PhD students
Muhammad Khizer Ali, “Image to text and text to image modelling”, (2024-).
Sadia Sabrin Nodi, “Developing mobile app for Soil assessment using Munsell”, (2022-)
Ershadul Haque, “Quantum Computing for image processing,” (2021-)
Dristi Datta, “Soil Assessment from vegetation pattern using hyperspectral imaging,” (2021-)
Mike Horry, “Medical Imaging for deadly disease such as COVID-19, Cancer”, (2020 -2025)
Arif Rahman, “Soil nutrient assessment”, (2022-)
James Sargeant, “Physics-informed soil carbon assessment from satellite imaging”, (2022-)
Rashidul Hasan Nabil, “Point cloud compression using distance-based perspective metrics”, (2023-)
Redwanul Haque, “Scene composition metric for efficient GEN AI image evaluation”, (2024-)
Dr Faranak Tohidi, “Dynamic Point Cloud Compression with Shape and Density-based Volumetric Partitioning,” (2021-2025)
Dr Fariha Afsana, “Efficient Video and Point Cloud Compression through Common Information Exploitation”, (2018-2025)
Dr Rafiqul Islam, “Video analytics focusing on audio features extraction and rain removal”, (2018 –2022)
Dr Motiur Rahman, “View Synthesis for Free Viewpoint Video Using Temporal Modelling”, (2015 – 2019)
Dr Rui Xiao, “Hyperspectral Image Coding Using Spectral Prediction Modelling and Optimal Compression Plane,” (2014-2018).
Dr Pallab Podder, “Efficient Video Coding and Quality Assessment by Exploiting Human Visual Features”, (2014-2017).
Dr MD. Salehin, “Innovative Approaches for Video Summarisation in the Challenging Environment,” (2013-2017).
Dr Mohammad Zavid Parvez, PhD Student, “Detection and Prediction of Epileptic Seizure using EEG signal Analysis”, (2012-2016).
Dr S M Ataul Karim Rajin, “Enhancing Video Coding Efficiency through Deep Learning-Based Forward Referencing Framework”, (2020-2024).
Dr Niras C. V., “High Efficiency Video Coding Processor with Residue Number Systems,” (2013-2017)
Dr Toufique Ahmed Soomro, Non-Invasive Image Processing Techniques for Biomedical Images, (2015-2018)
Dr Shampa Shahriyar, “Inherently Edge Preserving Depth Map Coding Using Context Adaptive Arithmetic Coding and Binary Tree Based Decomposition,” (2013-2017).
Dr Bin Liang, “Human Gesture Detection”, Completed 2016, CSU.
Professional Doctoral (DIT) students
Dr Linh Pham, “An exploration of noncontact cardiopulmonary measurement using the smartphone in rescue relief events”, Professional Doctoral Program (DIT), (2014 – 2023)
Dr Warwick Adams, “The detection of movement-related disease by changes in keystroke characteristics while typing”, (2016-2020).
Dr Push Bhatkoti, “Early Diagnosis of Alzheimer’s Disease: A Multiclass Deep Learning Framework with Modified k-Sparse Autoencoder Classification”, Professional Doctoral Program (DIT), (2014- 2019).
Masters
Shasank Ghimire, “Analysing the importance of features in determining student performance for higher education using different machine learning algorithms”, 2025
Gaurav S. Sharma, “Second Language Acquisition of students abroad: Acquiring the English language and the role of self-determination and motivation while undergoing a Study Abroad Program,” 2025
Honours
Cameron White, “Implementing a blockchain framework using image hashing for image authentication”, 2017.
Chris Williams, “Machine vision and automated defect detection in the manufacturing of collagen-based product”, 2015
