Victor is a Ph.D. student in the Center for Geographical Information Science, University of Maryland, College Park. He is broadly interested at the cutting-edge of research and development in urban informatics, smart cities, and geospatial data science; specifically, the science that investigates the ‘where’ and ‘why’ of various human and natural phenomena in cities.
Before coming to Maryland, he studied at the University of Lagos, Nigeria, and graduated with a first-class bachelor’s degree in urban planning. Beyond academics, Victor has over three years of software engineering experience as well as experience building and deploying machine learning models. His major tools include Python, Scikit-learn, Keras, Tensorflow, and React.js. He hopes to deploy his skills in software engineering, data science, and urban planning to conceptualize and contribute significantly to smart cities research.
Areas of Interest
- Spatial Data Science
- Urban Informatics
- GeoAI
- GIS Programming (Python, PyTorch, TensorFlow)
- Web GIS Mapping
- Smart Cities
Degrees
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Degree TypeBSc.Degree DetailsUrban Planning; major in urban informatics and computational urban planning.
Awards
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2024-06-05International Cartographic Association (ICA) Scholarship
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2022-01-18University of Lagos prize for the best All Round Performance at the degree level in dept of U.R.P
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2021-11-24H.O.D's Award for Academic Excellence (Department of Urban and Regional Planning)
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2018-06-15University of Lagos Endowment Scholarship Recipient
Conferences
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“Visualization Strategies for Big Models”. Catography and Geographic Information Science (CaGIS) and the University Consortium for Geographic Information Science (UCGIS) Syposium, Columbus, Ohio.
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Python Conference Nigeria (2019) - Workshop topic: Gathering and Preprocessing Twitter Data for Business Insights
Research Topics
- Geospatial-Information Science and Remote Sensing
