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Dr Mulemwa Akombelwa
 Mulemwa-Akombelwa  
Dr Akombelwa is a recipient of the Commonwealth Scholarship Award. He is a Fellow and Registered Engineer of the Engineering Institution of Zambia.

Dr Akombelwa is currently in the process of setting up a Seismic station at UKZN in collaboration with colleagues specialised in Geophysics at UKZN.
     
 Position:   Lecturer & Programme Co-ordinator
Qualifications:   REng (EIZ)
FEIZ
PhD
MSc
BEng
     
Discipline:   Land Surveying
Campus:   Howard College
Telephone:   031 260 7556
Email:   akombelwa@ukzn.ac.za
     
Research interests:   Research interests lie primarily in the investigation of spatial decision-making of land use in rural areas.

Also interested in Geodesy and currently carrying out collaborative research in Geophysics in Seismo-tectonics and also in the area of Exchangeability in Mathematics.
     
Publications:   Singh, K., Forbes, A. and Akombelwa, M., 2013. The evaluation of high resolution aerial imagery for monitoring of Bracken Fern. South African Journal of Geomatics, vol. 2(4), pp296-308.

Akombelwa, M., Abrahart, R. J. and Haines-Young, R. H., 2011. Local Stakeholder Perceptions and the modelling of Land-Use Decisions: A case study of the Copperbelt Province of Zambia. Proceedings of the AfricaGeo Conference, Cape Town, 19pp

Akombelwa, M., Abrahart, R. J. and Haines-Young, R. H., 2004. Hierarchical distributed network analysis of spatial decision making for land use allocation in the Copperbelt Province of Zambia, Proceedings of the 5th AARSE Conference, Nairobi Kenya, 6pp

Reddy, K., Akombelwa, M. and Chilufya, M., 2014. A seamless Land to Sea Cadastre: A South African Perspective. Proceedings of the AfricaGeo Conference, Cape Town.

Dlamini, S., Akombelwa, M. and Chilufya, M., 2014. Exploring Spatial Growth Pattern of Settlements in Customary Land – A study of Adams Rural, KwaZulu-Natal. Proceedings of the AfricaGeo Conference, Cape Town.

Chilufya, M., Akombelwa, M. and Stretch, D., 2014. Identification of Optimal Field Spectral Measurements Wavebands for Discriminating among Spatial Features in support of Mapping Using Hyper-spectral Imagery. Proceedings of the AfricaGeo Conference, Cape Town.

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