James Ojoawo, EIT
Graduate Assistant @ University of New Hampshire
About
Started out with a background in Civil Engineering, and I've been since drawn to data-driven solutions for improving how we respond and shape the built environment. Currently working on context-aware AI for modeling flood impacts at Citypulse Research Group, UNH.
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United States
Civil Engineering
Hydraulic Structures, Hydrologic Modeling, Object-Oriented Programming (OOP), Back-End Web Development, Flask, Transformers, Natural Language Processing (NLP), Attention Models, Gated Recurrent Units (GRU), Long Short-term Memory (LSTM), Recurrent Neural Networks (RNN), Facial Recognition, Object Detection and Segmentation, Convolutional Neural Networks (CNN), Decision-Making, Error Analysis, Multi-task Learning, Transfer Learning, End-to-end Learning, Construction Engineering
Experience

Civil Engineering Intern
Samsoj Engineering Services Ltd
construction & project management
James Ojoawo, EIT's Contact Information
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