Bio

I am currently a postdoctoral fellow working with Dr. Chris Mattmann at the Computer Science Department within the University of Southern California's (USC) Viterbi School of Engineering. As an affiliate at NASA's Jet Propulsion Laboratory I work with the Data Intensive Applications group (DIA) on a range of open source software projects for science applications.

Before coming to USC I completed my PhD under Dr. Mike Inggs at the University of Cape Town department of Electrical Engineering, while based at South Africa's Centre for High Performance Computing. Working with Dr John Collins, of Simcon and Edge Hill University, I developed a many-core processor to optimally process auto parallelised Fortran for HPC applications.

Combining my background in embedded systems, high performance computing, and Big Data technologies, I am currently investigating IOT technologies and open source software for use in earth science. As the co-founder of the Earth Science Information Partners Federation (ESIP) ESIP drone cluster particularly, I am working with many other stake holders towards means of lowering the engineering barriers to use of Unmanned Aircraft Systems (UAS) for earth scientists, and ensuring the necessary mechanisms exist to easily apply good data stewardship principles to UAS captured data.

Select Publications


J Wyngaard, L Barbieri, F Peterson, Standardised Science Data infrastructure for Drones, American Geophysical Union Fall meeting 2015, Unmanned Aircraft Systems (UAS) for Earth Systems Monitoring, Natural Hazard Assessment, and Emergency Response II Posters

J Wyngaard, M Starch, High throughput Kafka for Science, ApacheCon BigData Europe 2015

Kiri L. Wagstaff, David R. Thompson, Shakeh Khudikyan, Jane Wyngaard, Adam T. Deller, Divya Palaniswamy, Steven J. Tingay, and Randall B. Wayth (Under review), A Machine Learning Classifier for Radio Transient Detection at the VLBA

J Wyngaard, M Inggs, J Collins, B Farrimond, Towards a many-core architecture for HPC , 23rd IEEE Conference on Field Programmable Logic and Applications (FPL), 2013