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Personal profile

Personal profile

Manoranjan Paul received PhD degree from Monash University, Australia in 2005. He was a Post-Doctoral Research Fellow in the University of New South Wales, Monash University, and Nanyang Technological University from 2005 to 2011. Currently he is an Associate Professor, Director of Computer Vision Lab and Leader of E-Health Research at Charles Sturt University (CSU).

 His major research interests are in the field of Video/Image Coding/Processing, Machine Learning and Artificial Intelligence. He has published more than 180 refereed publications. He was an invited keynote speaker in DICTA 2017 & 2013, CWCN 2017, WoWMoM 2014, and ICCIT 2010.

Currently, he is an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, and EURASIP Journal in Advances on Signal Processing. He served a General Chair of PSIVT 2019, Program Chair of PSIVT 2017 & DICTA 2018 and Publicity Chair of DICTA 2016.

 He is the ICT Researcher of the Year 2017 awarded by Australian Computer Society. He obtained more than $3.5M competitive grant money including Australian Research Council (ARC) Discovery Projects, Wine Australia and NSW DPI and Soil CRC projects. He has successfully supervised 15 PhD students.

Education/Academic qualification

Computer Science and Engineering, PhD, Monash University

22 Nov 200128 Mar 2005

Fingerprint Dive into the research topics where Manoranjan Paul is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Image coding Engineering & Materials Science
Motion estimation Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Pixels Engineering & Materials Science
Textures Engineering & Materials Science
Motion compensation Engineering & Materials Science
Blood vessels Engineering & Materials Science
Image compression Engineering & Materials Science

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Research Output 2002 2019

A new image watermarking scheme for efficient tamper detection, localization and recovery

tohidi, F. & Paul, M., 15 Aug 2019, IEEE International Conference on Multimedia and Expo. IEEE, p. 19-24 6 p. 18906563

Research output: Book chapter/Published conference paperConference paper

Image watermarking
Recovery
Telemedicine
Insurance
Watermarking
4 Citations (Scopus)
Knee prostheses
Augmented reality
Surgery
Knee
Subtraction Technique

Complexity and entropy of knee kinematics in a joint reposition test: Effect of strapping and kinesiology tape

Donnan, L., Paul, M., Crowley, L., Felesimo, K. & Jelinek, H., 17 Jan 2019, 2018 Digital Image Computing: Techniques and Applications (DICTA) . Red Hook, NY, USA: IEEE Xplore, 5 p.

Research output: Book chapter/Published conference paperConference paper

Entropy
Biomechanical Phenomena
Knee
Joints
Muscles
1 Citation (Scopus)

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

Soomro, T., Afifi, A. J., Zheng, L., Soomro, S., Gao, J., Hellwich, O. & Paul, M., 03 Jun 2019, In : IEEE Access. 7, p. 71696-71717 22 p.

Research output: Contribution to journalArticle

Blood vessels
Image analysis
Ophthalmology
Computer vision
Artificial intelligence

Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation

Shahriyar, S., Murshed, M., Ali, M. & Paul, M., 27 Feb 2019, In : IEEE Transactions on Circuits and Systems for Video Technology. 15 p.

Research output: Contribution to journalArticle

Binary trees
Redundancy
Decomposition
Textures

Press / Media

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Manoranjan Paul

31/01/19

1 item of Media coverage

Press/Media: Press / Media