Daniel Emaasit

69 Seguidores

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I am a PhD student of Transportation Engineering doing research in Urban Mobility & Planning, Travel Demand Forecasting & Modeling, Urban Data Analytics, Highway Safety and Traffic Operations from the Transportation Research Center (TRC) at the University of Nevada Las Vegas (UNLV). Broadly, my research interests involve the development of probabilistic/Bayesian machine learning methods for high-dimensional data, with applications to Urban Mobility, Transport Planning, Highway Safety, & Traffic Operations.

machine learning bayesian data science big data transport planning united nations africa

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Daniel Emaasit

Presentaciones

Masters Defense 2013

Sustainable Urban Transport Planning using Big Data from Mobile Phones

Introduction to Model-Based Machine Learning

exit_presentation_daniel

Introduction to Model-Based Machine Learning for Transportation

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