Manoranjan Paul

Manoranjan Paul is a Full Professor in Computer Science at the School of Computing, Mathematics, and Engineering, Charles Sturt University (CSU), Australia. He is Director of the Computer Vision Lab and Head of the Machine Vision & Digital Health (MAVIDH) Research Group. Paul holds a PhD from Monash University (2005) and has held academic and research roles at institutions including UNSW, Nanyang Technological University (Singapore), and Ahsanullah University of Science and Technology.

His research spans Artificial Intelligence, Video/Image Processing, Quantum Computing, Digital Health, and Medical Imaging. Notable contributions include $10M+ in grants (e.g., ARC Discovery Projects, Japanese grants), 250+ refereed publications, and commercialized apps like VineSignal for vine disease detection and Hunter Gatherer Networks for Indigenous marketplaces. Awards include the Golden Disruptor Award and ICT Researcher of the Year 2017 (ACS), and recognition as a World's Top 2% Scientist (Elsevier/Stanford, 2021).

Key research initiatives:

• EEG-based epilepsy prediction (90% accuracy)
• Quantum image compression (novel circuits)
• Hyperspectral soil analysis (regression models)
• Non-contact cardiopulmonary detection (smartphone-based)

Supervised 19 PhD students and led international conferences (e.g., PSIVT-19, DICTA-2023). Editor for IEEE Transactions on Image Processing and Multimedia, and Steering Committee Chair for PSIVT.