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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 and Director of E-Health Research at Charles Sturt University (CSU).

 His major research interests are in the field of Data Science such as Data Compression, Video Analytics, Computer Vision, E-Health, and Medical Imaging/Signal Processing. He has published more than 150 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 $2.5M competitive grant money including two Australian Research Council (ARC) Discovery Project Grants and Cybersecurity CRC.

Education/Academic qualification

Computer Science and Engineering, PhD, Monash University

22 Nov 200128 Mar 2005

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2002 2020

Vision-aided 2D and 3D Video Coding

Paul, M., 2020, United States: John Wiley & Sons. 400 p.

Research output: Book/ReportBook

Image coding
Computer vision
Human computer interaction
Internet
Image understanding
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., Dec 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

Retinal blood vessels extraction of challenging images

Soomro, T. A., Gao, J., Lihong, Z., Afifi, A. J., Soomro, S. & Paul, M., 01 Jan 2019, Data Mining - 16th Australasian Conference, AusDM 2018, Revised Selected Papers. Zhao, Y., Warwick, G., Stirling, D., Li, C-T., Koh, Y. S., Islam, R. & Islam, Z. (eds.). Springer-Verlag London Ltd., p. 347-359 13 p. (Communications in Computer and Information Science; vol. 996).

Research output: Book chapter/Published conference paperConference paper

Image enhancement
Blood Vessels
Blood vessels
Image Enhancement
Vessel

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss

Soomro, T. A., Hellwich, O., Afifi, A. J., Paul, M., Gao, J. & Zheng, L., 16 Jan 2019, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Pickering, M., Zheng, L., You, S., Rahman, A., Murshed, M., Asikuzzaman, M., Natu, A., Robles-Kelly, A. & Paul, M. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 8615770. (2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018).

Research output: Book chapter/Published conference paperConference paper

Retinal Vessels
Databases
Neural networks
Neural Networks (Computer)
Lighting

Press / Media

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Manoranjan Paul

31/01/19

1 item of media coverage

Press/Media: Press / Media