Machine Vision and Digital Health (MaViDH) Research Group

Research Area Leader

Manoranjan Paul

Professor Manoranjan Paul

Research Area Deputy Leader

Anwaar Ul-haq

Dr Anwar Ul-Haq

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.

  1. Goals
  • Knowledge creation
  • Build agriculture, health and other relevant technologies
  • Generate health awareness
  • Train researchers
  • Engage industry and External Research groups
  • Research Areas:
  • Digital Health
    • Remote health services/monitoring
    • Epilepsy and EEG signal processingBlood Pressure Monitor
    • Workplace health
    • Ageing and mental health
    • Medical Imaging
  • Agriculture
    • Vine nutrition and smart wine
    • Wine technology
    • Hyperspectral imaging
    • Soil assessment and vegetation pattern
    • Drone technology
  • Machine Vision
    • Video coding
    • Image processing
    • Eye tracking
    • Human-Computer interaction
    • Sensing and activity recognition
  • Funding bodies:
  • Australian Government
  • Australian Research Council (ARC) Discovery Project
  • Soil CRC
  • Wine Australia
  • NSW Government
  • NSW Department of Primary Industries (DPI)
  • Australia-China partnership project
  • CSU-Royal Far West partnership project
  • Devro Ptd Ltd
  • Australian Commonwealth Department of Health and Aging
  • Australian Capital Territory – Land Development Agency
  • Centre for Work Health and Safety, NSW Government
  • Commonwealth Department of Health and Aging
  • Australian Capital Territory – Land Development Agency
  • Centre for Work Health and Safety, NSW Government
NamePositionEmailLocationPhoto
Manoranjan Paul Professor mpaul@csu.edu.au Bathurst Manoranjan Paul
Anwaar Ul-Haq Lecturer aulhaq@csu.edu.au Port Macquarie Anwaar Ul-Haq
Tanveer Zia Professor tzia@csu.edu.au Wagga Wagga Tanveer Zia
Zahid Islam Adjunct Professor zislam@csu.edu.au Bathurst

Zahidul Islam

Azizur Rahman Associate Professor azrahman@csu.edu.au Wagga Wagga Azizur Rahman
Lihong Zheng Associate Professor lzheng@csu.edu.au Wagga Wagga Lihong Zheng
Michael Antolovich Adjunct Senior Lecturer mantolovich@csu.edu.au Bathurst Michael Antolovich
Ashad Kabir Senior Lecturer akabir@csu.edu.au Bathurst Ashad Kabir
Maumita Bhattacharya Senior Lecturer mbhattacharya@csu.edu.au Albury Maumita Bhattacharya
Oliver Burmeister Professor oburmeister@csu.edu.au Bathurst Oliver Burmeister
Xiaoming Zheng Senior Lecturer xzheng@csu.edu.au Wagga Wagga Xiaoming Zheng
Quazi Mamun Senior Lecturer qmamun@csu.edu.au Wagga Wagga Quazi Mamun
Rafiqul Islam Associate Professor mislam@csu.edu.au Albury Rafiqul Islam
Tanmoy Debnath Lecturer tdebnath@csu.edu.au Bathurst Dr Tanmoy Debnath
Shukla Sikder Associate Lecturer ssikder@csu.edu.au Bathurst Shukla Sikder
Abeer Alsadoon Adjunct Associate Professor aalsadoon@csu.edu.au Sydney Abeer Alsadoon 
Manash Saha Manning Rural Referral Hospital

Manash.Saha@health.nsw.gov.au

Taree NSW Dr Manash Saha
Subrata Chakraborty University of Technology

Subrata.Chakraborty@uts.edu.au

Sydney  
Herbert Jelinek Khalifa University of Science and Technology herbert.jelinek@ku.ac.ae United Arab Emirates

Herbert Jelinek

D M Motiur Rahaman Post-doctoral Research Fellow drahaman@csu.edu.au Wagga Wagga D M Motiur Rahaman
Ashek Ahmmed Post-doctoral Research Associate aahmmed@csu.edu.au Bathurst

Ashek Ahmmed

Sourabhi Debnath Post-doctoral Research Associate sdebnath@csu.edu.au Bathurst

Current Projects:

  • Associate Professor  Manoranjan Paul:
    • Australian Research Council (ARC) Discovery Grant, 2019-2021, "DP190102574: Efficient multi-view video coding with cuboids and base anchored models," $380,000.‚Äč
    • Blood glucose drop prediction for diabetic patient;
    • Non-invasive Epileptic Seizure Detection and Prediction using sensing data
    • Multi-Class Diagnosis of Alzheimer's Disease
    • Computerised Analysis of the Retinal Colour Fundus Images and MRI images
    • Accuracy of Using Augmented Reality in Oral and Maxillofacial Surgeries, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Emotion recognition using EEG signals, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoo
    • Objective video quality assessment based on saliency map (Saliency map integration into video quality metric (VQM)), CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Elderly People Fall Detection System Using Skeleton Tracking and Recognition, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Measurement of calorie and nutrition using food image, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Early Diagnosing Cancer in Oral & Maxillofacial Surgeries, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Virtual Reality in Construction of 3D design, CI: A/Prof Manoranjan Paul, A/Prof Chandana Withana, and Dr Abeer Alsadoon
    • Early Diagnosis of Alzheimer's Disease- A/Prof Manoranjan Paul, Pushkar Bhatkoti
    • Cardiopulmonary measurement using the smartphone- A/Prof Manoranjan Paul, Linh Pham
  • Associate Professor  Oliver Burmeister:
    • Health system navigation in the digital age, (ii) Evaluation of Tele-Health Equipment.
  • Dr Lihong Zheng
    • Fall detection of the elder people
  • Associate Professor Tanveer Zia
    • Design and development of a Continuous and Pervasive eHealth System to detect Cardiovascular Diseases (CVDs) and Hazardous Activities of Cardiac Patients
  • Azizur Rahman
    • Socio-demographic and spatial inequalities in early childhood health, developments and the school readiness of Australian children.
    • Determinants of childhood developments and maternal health in Australian indigenous communities
    • Childhood malnutrition in developing countries.
    • Modelling Infectious diseases in developing countries
    • An Evaluation of the Nurse Practitioners - Aged Care Models of Care Program.

Past projects

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)

02 February 2017 - RHT2017  Workshop

Powerpoint Presentations

30 January 2017 - eHealth Research Group Meeting