Professor Temitope Oyedotun is keen to hear from students interested in progressing to a PhD or MSc research related to:

       coastal systems

       coastal dynamics and forcing of coastal change

       environmental change, environmental behaviour and/or environmental forcing

       complex interactions between geomorphology, hydrology and ecology in the coastal zone

       geospatial and near-sensing (e.g. UAS, dGPS) technologies

       environmental system modelling

       coastal geohazards and risk to infrastructure

       climate change adaptation

       resilience modelling

       physical response of lakes and fluvial to climate variability and change; and waste management

       community initiatives (citizen science) for monitoring coastal change and informing coastal management

       Investigation of the morphosedimentary development of the coastal wetlands and estuarine environment

       Mangroves and mangroves environment

       Integration of Earth Observation (EO) and Machine Learning/Artificial Intelligence in: coastal dynamics monitoring, coastal communities’ resilience to climate change, coastal flooding and the prediction of its risks; and the response of coastal agroecological zones to climate variabilities, etc.

       Waste management and microplastic pollution, among others.

 

Active (Ongoing) Research/Projects:

Oyedotun, T. D. T.; Nedd, G. A., A. (ongoing) – Short-term rivermouth morphodynamics on the mud-dominated coast of Guyana.

 

Henry, Collin (Ongoing PhD Research) – Governance of the Oil and Gas Sector in Guyana: Impacts on Biodiversity and Ecosystem Services in the Coastal Regions (Being supervised by Dr Thomas Singh and Professor T. D. T. Oyedotun)

 

Hamer, Esan (Ongoing Mphil/PhD Research) – Impacts of climate change on the agroecological zones of Guyana’s coast (Being supervised by Professor T. D. T. Oyedotun and Dr Elroy Charles)

 

Nedd, Gordon A. (Ongoing MSc Research) – Flood monitoring and prediction at Mahaica-Mahaicony-Abary Coastal Area of Guyana: An Integration of Machine Learning and Remote Sensing Approach (Being supervised by Professor T. D. T. Oyedotun and Professor Joaquin Salas)