Machine Vision and Digital Health (MaViDH) Research is one of the priority research areas according to the CSU Research Narrative. It brings modern innovations and technological developments to health, agriculture, and machine vision practices.
Due to geographical distance from capital cities a major portion of regional people cannot access high quality health services, like those in major cities. One of the aims of the MaViDH research group is to tackle issues related to Digital health research for remote people through analysis of causal factors, development of remote health management system, and the collection and analysis of health-related data.
The modern IT technologies with sophisticated sensors can make sure high productivity in the agriculture sectors. The other aim of the MaViDH research group is to tackle issues related to agricultural research for farmers, policy maker and other stakeholders through big data analytics, drone/hyperspectral/ remote sensing data collection and analysis of yield data.
Artificial intelligence, image and video processing, deep machine learning, and machine vision are the main theoretical and applied research areas of the MaViDH research group. Our technological innovations are supported by the competitive project grants (e.g. ARC, CRC), PhD supervisions, and industry collaborations.
The MaViDH research group works in collaboration with professionals, farmers, local bodies, academics, and government agencies to conduct research across the research themes related to health, agriculture, and other areas.
A Computer Vision lab with modern equipment is associated with the MaViDH research group. The lab has high performance computing servers, GPU, eye tracker, EEG capture machine, hyperspectral camera, 3D video camera, 360-degree video camera, CCTV cameras and conferencing facility. The detail information is available here https://csusap.csu.edu.au/~rpaul/cvl/.
This multidisciplinary research group comprises researchers with expertise in AI, computer vision, image processing, data compression and transmission, health informatics, general medicine, cardiology, deep learning, psychology, health management, information systems, data communication, etc.
The main aim of the research group is to coordinate the activities so that we can achieve following goals.
Name | Position | Location | Photo | |
---|---|---|---|---|
Manoranjan Paul | Professor | mpaul@csu.edu.au | Bathurst | ![]() |
Anwaar Ul-Haq | Lecturer | aulhaq@csu.edu.au | Port Macquarie | ![]() |
Tanveer Zia | Professor | tzia@csu.edu.au | Wagga Wagga | ![]() |
Zahid Islam | Adjunct Professor | zislam@csu.edu.au | Bathurst | |
Azizur Rahman | Associate Professor | azrahman@csu.edu.au | Wagga Wagga | ![]() |
Lihong Zheng | Associate Professor | lzheng@csu.edu.au | Wagga Wagga | ![]() |
Michael Antolovich | Adjunct Senior Lecturer | mantolovich@csu.edu.au | Bathurst | ![]() |
Ashad Kabir | Senior Lecturer | akabir@csu.edu.au | Bathurst | ![]() |
Maumita Bhattacharya | Senior Lecturer | mbhattacharya@csu.edu.au | Albury | ![]() |
Oliver Burmeister | Professor | oburmeister@csu.edu.au | Bathurst | ![]() |
Xiaoming Zheng | Senior Lecturer | xzheng@csu.edu.au | Wagga Wagga | ![]() |
Quazi Mamun | Senior Lecturer | qmamun@csu.edu.au | Wagga Wagga | ![]() |
Rafiqul Islam | Associate Professor | mislam@csu.edu.au | Albury | ![]() |
Tanmoy Debnath | Lecturer | tdebnath@csu.edu.au | Bathurst | ![]() |
Shukla Sikder | Associate Lecturer | ssikder@csu.edu.au | Bathurst | ![]() |
Abeer Alsadoon | Adjunct Associate Professor | aalsadoon@csu.edu.au | Sydney | |
Manash Saha | Manning Rural Referral Hospital | Taree NSW | ![]() | |
Subrata Chakraborty | University of Technology | Sydney | ||
Herbert Jelinek | Khalifa University of Science and Technology | herbert.jelinek@ku.ac.ae | United Arab Emirates | |
D M Motiur Rahaman | Post-doctoral Research Fellow | drahaman@csu.edu.au | Wagga Wagga | ![]() |
Ashek Ahmmed | Post-doctoral Research Associate | aahmmed@csu.edu.au | Bathurst | |
Sourabhi Debnath | Post-doctoral Research Associate | sdebnath@csu.edu.au | Bathurst |
Student Name | Course (PhD, DIT, Honours) | Project Title | Project Status | Supervisory Team |
---|---|---|---|---|
Dr Anmin Liu | PhD | Video coding with just noticeable distortion | Completed | Prof Manoranjan Paul and Prof Weisi Lin (NTU, Singapore) |
Dr Mahfuz Hoque | PhD | Object detection using background modelling | Completed | Prof Manoranjan Paul and Prof Manzur Murshed (Monash University) |
Dr Rui Xiao | PhD | Hyperspectral image coding | Completed | Prof Manoranjan Paul and Prof Terry Bossomaier |
Dr Niras Cv | PhD | Motion estimation for video coding | Completed | Prof Manoranjan Paul and Dr Yinan Kong (Macquarie University) |
Dr M. Zavid Parvez | PhD | Epilepsy seizure prediction | Completed | Prof Manoranjan Paul and Dr Michael Antolovich |
Dr Shampa Shahriyar | PhD | Depth video coding | Completed | Prof Manoranjan Paul and Prof Manzur Murshed (Monash University) |
Dr MD Salehin | PhD | Video summarisation using eye tracker and brain signal | Completed | Prof Manoranjan Paul |
Dr Bin Liang | PhD | Human gait detection | Completed | Assoc Prof Lihong Zheng and Prof Manoranjan Paul |
Dr Pallab Podder | PhD | Perceptual video coding | Completed | Prof Manoranjan Paul and Dr Subrata Chakraborty (UTS) |
Dr DM Motiur Rahaman | PhD | Virtual view synthesis | Completed | Prof Manoranjan Paul and Assoc Prof Lihong Zheng |
Dr Toufique Soomro | PhD | Retinal image segmentation | Completed | Prof Manoranjan Paul and Prof Junbin Gao (University of Sydney) |
Dr Pushkar Bhatkoti | DIT | Alzheimer's disease diagnosis | Completed | Prof Manoranjan Paul |
Linh Pham | DIT | Cardiopulmonary measurement | Progressing | Prof Manoranjan Paul |
Warwick Adams | DIT | Parkinson's disease detection | Thesis submitted | Prof Manoranjan Paul |
Cameron White | Honours | Image authentication | Completed | Prof Manoranjan Paul |
Rafiqul Islam | PhD | Rain removal from video | Progressing | Prof Manoranjan Paul and Dr Michael Antolovich |
Fariha Afsana | PhD | UHD and 360-degree video coding | Progressing | Prof Manoranjan Paul and Dr Tanmoy Debnath |
Faranak Tohidi | PhD | Video analytics for autism detection | Progressing | Prof Manoranjan Paul |
Ershadul Haque | PhD | Cardiovascular disease analytics | Progressing | Prof Manoranjan Paul |
Rajin Karim | PhD | Video segmentation | Progressing | Prof Manoranjan Paul and Prof Manzur Murshed (Fed Uni) |
Michael Horry | PhD | Deep learning for medical imaging | Progressing | Prof Manoranjan Paul and Dr Subrata Chakraborty (UTS) |