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Dr

Jasper Wijnands

Research Fellow - Arc Telematics Trial
Mathematics
Deep Learning
Convolutional Neural Networks
Transportation
Machine Learning
GAN
Science & Technology
LSTM
Atmospheric Science
Jasper Wijnands's Profile Picture
Dr

Jasper Wijnands

 
Division
Architecture, Building And Planning
 
Primary Interest
Deep Learning
Jasper Wijnands's Profile Picture
Dr

Jasper Wijnands

 

Dr Jasper Wijnands has a background in applied mathematics, with extensive experience in quantitative analyses and mathematical methods throughout his education, research and consultancy career. His research has led to publications in various domains, including transportation, climate science, the financial services sector and in mathematical journals.His PhD in mathematics (University of Melbourne) focussed on machine learning algorithms and other mathematical techniques to improve the accuracy of tropical cyclone forecasts in Australia and the South Pacific Ocean.

Jasper’s research currently focusses on artificial intelligence, especially deep learning using neural networks, in relation to transport, health and urban design. Further, he is delivering an ARC Linkage project that investigates the impact of financial incentives and feedback on driving behaviour.Jasper previously worked as a manager and consultant in EY’s Advisory practices in Melbourne, New York, Zurich and Amsterdam, focussing on financial risk management.

Scholarly Works

Displaying the 22 most recent scholarly works by Jasper Wijnands.

Credentials

Positions


Research Fellow - Arc Telematics Trial

Architecture, Building And Planning

Education


Science

University of Melbourne

Business Mathematics & Informatics

Vrije Universiteit Amsterdam

Business Mathematics & Informatics

Vrije Universiteit Amsterdam