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The integration of Geographical information Science - GIS and Multi-Criteria Decision Making - MCDM has attracted many researchers from different fields including urbanization and environmental planning and emergency management to deal with spatial decision making problems. However, as much the complexity of the real-world problems increases, the more it is difficult for decision-makers to make the right decision in many operations and research activities of the above mentioned fields. The researches show that nowadays, artificial intelligence technology (AI) is helping a lot in human decision making. Therefore, it is important to study how AI techniques such as meta-heuristics algorithms can be used to improve GIS-MCDM capabilities to solve the current decision problems. My project focus on adopting and improving AI techniques such as meta-heuristic algorithms with the use of GIS to solve spatial problems such as evacuation planning and urban land use planning in the context of the overpopulated urban areas, Kigali-Rwanda is used as a case study.   


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land


Dive into the research topics where Olive Niyomubyeyi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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