Personal profile

Personal profile

Currently, Manoranjan Paul is a Full Professor in the Computer Science at the School of computing, Mathematics, and Engineering, Charles Sturt University, Australia. He is the Director of Computer Vision Lab and Head of Machine Vision & Digital Health (MAVIDH) Research Group.

Prof Paul received PhD degree from Monash University, Australia in 2005. Previously, he was a Research Fellow in the UNSW, Monash, and Nanyang Technological University (Singapore).

He is the recipient of the Golden Disruptor Award and ICT Researcher of the Year 2017 from Australian Computer Society. He is 348th Best Scientist in Computer Science, Australia (Research.com). He obtained $10M+ competitive grant money including Australian Research Council (ARC) Discovery Projects, Japanese International grant, Wine Australia projects, Soil CRC PhD projects, NSW Government, Western Australia Government projects, etc. He has successfully supervised 17 PhD students and 3 Professional Doctorate students.

He is an Associate Editor of three top ranked international journals such as IEEE Transactions on Image Processing (A*), IEEE Transactions on Multimedia (A*), IEEE Transactions on Circuits and Systems for Video Technology (Q1), and EURASIP Journal of Advances in Signal Processing. He is the Chair of PSIVT Steering Committee (2020-),  a General Chair of PSIVT-19 and DICTA-2023, Program Chair of IEEE DICTA-21, DICTA-18, PSIVT-22, Workshop Chair ICME 2023, PSIVT-17.

His research interests are in Artificial Intelligence, Video Compression, Image Processing, Machine Vision,  Quatum Computing, and Digital Health. He has published 250+ refereed publications including 80+ journal articles. He was an invited keynote speaker in DICTA-17 & 2013, CWCN-17, WoWMoM-14, and ICCIT-10. He has 7 best paper awards.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Computer Science and Engineering, PhD, Video Coding, Monash University

22 Nov 200128 Mar 2005

Award Date: 10 Oct 2005

Subject keywords

  • Artificial Intelligence
  • Video/image compression and processing
  • Computer Vision
  • Digital Health
  • Quantum Computing
  • Signal Processing

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