General engineers without a data science background are driving the second wave of the AI revolution in Civil Engineering. For example, acoustic and construction engineers are using deep learning to classify video and audio feeds to identify noise signatures and correlate with train or construction movements to meet compliance targets. Geotechnical engineers are using machine learning App driven interfaces to infer sub-surface structures between drill locations.
Road path planning is being driven through fused terrain models, LiDAR clouds and deep learning semantic segmentation of aerial and satellite hyperspectral imagery to minimize vegetation damage. This talk will present MathWorks’ perspective on taking AI into the hands of civil, mechanical, electrical and system engineers to drive better outcomes than pure data science alone. We will present three examples of this collaborative style that are in use today, as well as trends in the application of Machine Learning and Big Data to Civil Engineering.
You will learn:
- How to apply deep learning to civil engineering construction noise compliance
- How to use image processing for path planning to reduce environmental impacts
- How to run Monte Carlo simulations on big data pipelines to drive risk-based decision making
Dr Peter Brady
Senior Engineer, Mathworks
Dr Peter Brady is a Senior Application Engineer at the MathWorks where he leverages maths to accelerate our customers projects. He works across the engineering spectrum with a focus on maths, statistics, optimisation, machine and deep learning as well as cloud scale out. Prior to joining MathWorks Peter worked for several civil and defence contractors delivering projects in surface water, hydraulics and hydrology as well as fluid dynamics and submarine cavitation inception. His prior research work includes free surface hydraulic simulation, thermodynamics and nanofluidics.
Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering both from UTS and is a Chartered Practicing Engineer in the fields of Mechanical Engineering and Leadership and Management (CPEng NER) as well as a Certified Professional with the Australian Computer Society.
Engineering Manager, MathWorks
Jean-Baptiste is the Technical Manager at MathWorks Australia, leading a team of customer facing engineers. He joined MathWorks France in 2008 and worked with customers in the control design, physical modeling, automatic code generation, and verification and validation domains before moving to MathWorks Australia in 2013. Prior to joining MathWorks, Jean-Baptiste worked as a control design engineer with PSA France (Engine & Powertrain Control Design), Air International Australia (development of embedded software for HVAC systems) and Parrot France (design of AR.Drone's controls). Jean-Baptiste holds a master's degree in Electrical Engineering from the French engineering school ENSIEG with a specialisation in control engineering.
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