Mohammad Aslani

Mohammad Aslani has built his academic career on a solid foundation in geoinfor­matics and artificial intelligence. His research is mainly centered around intelligent geoinformatics, the amalgamation of geoinformatics and artificial intelligence. His research focuses on methodological development around multi-agent systems, machine learning, and data analysis to support various GIS applications. Specifically, he is interested in developing methods based on fuzzy logic, neural networks, reinforce­ment learning, deep learning, multi-agent systems, and evolutionary optimization for urban-related applications.

Den 18 november 2022 disputerade Mohammad Aslani med avhandlingen: Computational and spatial analyses of rooftops for urban solar energy planning.

Läs mer om Mohammads forskning:
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