Research Output per year
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 2001 → 28 Mar 2005
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- 2 Similar Profiles
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2002 2020
Vision-aided 2D and 3D Video Coding
Paul, M., 2020, United States: John Wiley & Sons. 400 p.Research output: Book/Report › Book
Image coding
Computer vision
Human computer interaction
Internet
Image understanding
A NEW IMAGE WATERMARKING SCHEME FOR EFFICIENT TAMPER DETECTION, LOCALIZATION AND RECOVERY
tohidi, F. & Paul, M., 24 Apr 2019, (Accepted/In press) IEEE International Conference on Multimedia and Expo. IEEE, 6 p.Research output: Book chapter/Published conference paper › Conference paper
Image watermarking
Recovery
Telemedicine
Insurance
Watermarking
2
Citations
(Scopus)
A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy
Pokhrel, S., Alsadoon, A., Prasad, P. W. C. & Paul, M., Feb 2019, In : International Journal of Medical Robotics and Computer Assisted Surgery. 15, 1, p. 1-15 15 p., e1958.Research output: Contribution to journal › Article
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 paper › Conference paper
Entropy
Biomechanical Phenomena
Knee
Joints
Muscles
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 journal › Article
Blood vessels
Image analysis
Ophthalmology
Computer vision
Artificial intelligence
Press / Media
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31/01/19
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Press/Media: Press / Media