Alzayat Saleh, James Cook University

Alzayat Saleh

Projects 1
Publications 12
Awards 0

Biography

Dr. Alzayat Saleh is a Postdoctoral Research Fellow at the Australian Institute of Marine Science at James Cook University (AIMS@JCU). He has a strong passion for deep learning applications in marine sciences, following his previous work in Deep Learning for Agriculture.

Dr. Saleh has made significant academic contributions, with 15 articles published in prestigious journals and conferences, and over 500 citations to his name. His research has been centered around developing innovative deep learning methods for underwater fish detection, segmentation, tracking, and landmark detection.

Recognized for his research excellence, Dr. Saleh has received several awards and scholarships. He values collaboration and enjoys working with other researchers and practitioners in the field of deep learning and aquaculture.


Research

Research Interests

Marine technology development and adoption, Remote/autonomous monitoring systems, Data science and predictive modelling, Cybersecurity, social acceptance of new tech, Sensor development, underwater communications, Marine synthetic environments, digital twins, Deep Learning for Agriculture

Projects

Developing Deep Learning Applications for Smart Aquaculture (Old ID 27329)
01 Jul 2021 - 30 Jun 2024

Teaching

Taught Modules

[MA5820] Statistical Methods for Data ScientistsTutor
2021

Output

Novel deep learning architectures for marine and aquaculture applications
2023
Saleh, Alzayat (2023) Novel deep learning architectures for marine and aquaculture applications. [Thesis] [DOI]
Other Publication Open Access ResearchOnline@JCU
Developing deep learning methods for aquaculture applications
2020
Saleh, Alzayat (2020) Developing deep learning methods for aquaculture applications. [Thesis] [DOI]
Other Publication Open Access ResearchOnline@JCU
Applications of deep learning in fish habitat monitoring: A tutorial and survey
2024
Saleh, Alzayat; Sheaves, Marcus; Jerry, Dean; Rahimi Azghadi, Mostafa (2024) 'Applications of deep learning in fish habitat monitoring: A tutorial and survey'. Expert Systems with Applications, 238 . [DOI]
Journal Publication Open Access ResearchOnline@JCU
Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization
2024
Saleh, Alzayat; Hasan, Md Mehedi; Raadsma, Herman W.; Khatkar, Mehar S.; Jerry, Dean; Rahimi Azghadi, Mostafa (2024) 'Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization'. Aquacultural Engineering, 106 . [DOI]
Journal Publication Open Access ResearchOnline@JCU
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection
2023
Saleh, Alzayat; Jones, David; Jerry, Dean; Azghadi, Mostafa Rahimi (2023) 'MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection'. Aquatic Ecology, 57 :913-931. [DOI]
Journal Publication Open Access ResearchOnline@JCU
Computer vision and deep learning for fish classification in underwater habitats: A survey
2022
Saleh, Alzayat; Sheaves, Marcus; Rahimi Azghadi, Mostafa (2022) 'Computer vision and deep learning for fish classification in underwater habitats: A survey'. Fish and Fisheries, 23 (4):977-999. [DOI]
Journal Publication Open Access ResearchOnline@JCU
Weakly supervised underwater fish segmentation using affinity LCFCN
2021
Laradji, Issam H.; Saleh, Alzayat; Rodriguez, Pau; Nowrouzezahrai, Derek; Rahimi Azghadi, Mostafa; Vazquez, David (2021) 'Weakly supervised underwater fish segmentation using affinity LCFCN'. Scientific Reports, 11 :17379-17379. [DOI]
Journal Publication Open Access ResearchOnline@JCU
A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
2021
Saleh, Alzayat; Laradji, Issam H.; Lammie, Corey; Vazquez, David; Flavell, Carol Ann; Rahimi Azghadi, Mostafa (2021) 'A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images'. IEEE Journal of Biomedical and Health Informatics, 25 :3865-3873. [DOI]
Journal Publication Open Access ResearchOnline@JCU
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
2020
Saleh, Alzayat; Laradji, Issam H.; Konovalov, Dmitry A.; Bradley, Michael; Vazquez, David; Sheaves, Marcus (2020) 'A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis'. Scientific Reports, 10 . [DOI]
Journal Publication Open Access ResearchOnline@JCU
Estimating mass of harvested Asian seabass Lates calcarifer from images
2018
Konovalov, Dmitry A.; Saleh, Alzayat; Domingos, Jose A.; White, Ron D.; Jerry, Dean R. (2018) 'Estimating mass of harvested Asian seabass Lates calcarifer from images'. World Journal of Engineering and Technology, 6 (3):15-23. [DOI]
Journal Publication Open Access ResearchOnline@JCU
Underwater fish detection with weak multi-domain supervision
2019
Konovalov, Dmitry A.; Saleh, Alzayat; Bradley, Michael; Sankupellay, Mangalam; Marini, Simone; Sheaves, Marcus (2019) 2019 International Joint Conference on Neural Networks (IJCNN) Underwater fish detection with weak multi-domain supervision Budapest, Hungary, [DOI]
Conference Publication ResearchOnline@JCU
Automatic weight estimation of harvested fish from images
2019
Konovalov, Dmitry A.; Saleh, Alzayat; Efremova, Dina B.; Domingos, Jose A.; Jerry, Dean R. (2019) 2019 Digital Image Computing: Techniques and Applications (DICTA) Automatic weight estimation of harvested fish from images Perth, WA, Australia, [DOI]
Conference Publication ResearchOnline@JCU