Mussa Ngosha is an ICT officer at the Tanzania Fisheries Research Institute (TAFIRI). He has a bachelor of science degree in computer science (informatics) from Sokoine University of Agriculture (SUA), College of Computer Science, Department of Informatics. Ngosha is possessing a master's degree in Data Science from the University of Dar es Salaam (UDSM), the College of Information and Communication Technologies (CoICT), and the Department of Computer Science and Engineering. He has experience in earth observation sciences, GIS and remote sensing, computer programming skills such as R and Python, artificial intelligence, machine learning, deep neural networks, and big data analytics. Ngosha is capable of working with remotely sensed satellite imageries and in situ data from local, remote, and distributed servers. He has been collaborating with scientists working on oceanography, blue carbon ecosystems, and marine and coastal environments in the West Indian Ocean (WIO) region and Indo-Pacific waters. Ngosha has developed a deep neural network model for detecting seagrass species from unnamed aerial vehicles' (UAV) images. He also collaborated in the development of the machine learning model for mangrove species classification from satellite imagery (Sentinel-2) data. Ngosha has attended various international conferences, workshops, and training courses around the world, particularly in earth observation sciences and oceanography. He is a strong advocate of open science and reproducible research. He aspires to use science to solve problems rather than study them.


Using Artificial Intelligence to detetct fish disease in prawns species in Tanznaia

The aim of this study was to identify the diseases in prawns species found in the western Indian Ocean, Tanzania waters

Appointments
YearPositionInstitution Name
2015-00-00ICT Officer ITAFIRI

#YearStudentSupervision
22024-00-00Juma MasatoData and AI

Position:ICT Officer I
Phone:+255758719794
Email: ngoshamussa@tafiri.go.tz
Address:P.O. Box 9750, Dar es Salaam
Fax:12345