Staff Profile

Dr Joseph Mayunga

Biography:
Dr. Mayunga is a specialist in disaster risk management, geospatial sciences, and earth observation technologies. He holds a Ph.D. in Urban and Regional Sciences, with a focus on Environmental Hazards, from Texas A&M University, USA. Additionally, he possesses a Master of Science (MSc) degree in Geo-Information Science and Earth Observation from the International Institute for Geo-Information Science and Earth Observation (ITC), now part of the University of Twente, Netherlands.

Dr. Mayunga's research interests lie in disaster risk management, geospatial technologies, and earth observation. He has over 15 years of experience in research, training, and consultancy within these fields. His work spans both Tanzania and international contexts, involving numerous research projects and consultancy engagements that address disaster risk management and the application of geospatial science and technology.

Selected publication

1. Sweya, N.S., Wilkinson, S., Mayunga, J.S., Joseph, A., Lugomela, G., and Victor, J. (2020), Development of a Tool to Measure Resilience against Floods for Water Supply Systems in Tanzania. Journal of Management in Engineering, Vol. 36 (4), https://doi.org/10.1061/(ASCE)ME.1943-479.0000783

1. Sweya, L.N., Wilkinson S.., Kassenga G. and Mayunga J.S. (2019), Developing a tool to measure the organizational resilience of Tanzania's water supply systems, Global Business and Organizational Excellent (GBOE), 1–14. https://doi.org/10.1002/joe.21985.
2. Elinasi Monga, Mwita M. Mangora, and Joseph S. Mayunga (2018), Mangrove cover change detection in the Rufiji Delta in Tanzania, WIO Journal of Marine Science, Vol.17 (2 )1-1
3. N. Käyhkö, C. William, J. Mayunga, M.O. Makame, E. Mauya, & A. Järvi (2018). Building geospatial competences in Tanzanian Universities with open-source solutions, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-4/W8, 2018.
4. Joseph S. Mayunga & Guido A. Uhinga (2018). Mapping Spatial Distribution of Mangrove Forest in Mafia Island Using Landsat-8 OLI Imagery and in situ data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRSS), Vol.XLII-4-W8-133-2018

Contacts Information
Department of Computer Science and Engineering
University of Dar es Salaam, CoICT Kijitonyama Campus
Ali Hassan Mwinyi Road, P.O. Box 33335
Dar es Salaam, Tanzania.
E-mail: mayungax@gmail.com
Mobile: +255 768021824

Office Location: CoICT Block C, Lab C2C3