Jonathan Howe

Dr. Jonathan Howe (PhD Physics, University of York, UK) has 12 years experience as a computer vision, data analysis, and physical modeling scientist and engineer at in the UK's Ministry of Defence (MoD). He has developed many tools using machine learning and optimization methods for both the US and UK governments particularly in the Remote Sensing, ISR, Intelligence, and Security domains. He was selected as one of the UK government’s leading experts in deep learning and machine learning, winner of the MoD Chief Scientific Adviser award, recipient of the prestigious Arnold Award for outstanding applied research, and awarded an operational service medal for his field contributions while embedded within a US Processing Exploitation and Dissemination Cell in Afghanistan. Dr. Howe created and led the UK MoD's Kaggle competition to detect and segment objects and scenes in WorldView 3 datasets. Dr. Howe joined the NVIDIA federal solution architecture team in 2017 specializing in deep learning and artificial intelligence for defense and intelligence applications.
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Posts by Jonathan Howe

Simulation / Modeling / Design

Detecting Rotated Objects Using the NVIDIA Object Detection Toolkit

Object detection and classification in imagery using deep neural networks (DNNs) and convolutional neural networks (CNNs) is a well-studied area. For some... 17 MIN READ
Simulation / Modeling / Design

Solving SpaceNet Road Detection Challenge With Deep Learning

It’s that time again -- SpaceNet raised the bar in their third challenge to detect road-networks in overhead imagery around the world.  Today, map features... 28 MIN READ