Data Champions Search

Austin Tripp

PhD Student

Department of Engineering

Areas Of Expertise:

File sharing systems, Repositories (general), Data analysis, Coding, Python, SQL, Git, Java, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Version control

Biography

I am a PhD student in engineering, in the machine learning group. I am passionate about using version control for data/code management, and various kinds of virtual lab notebooks.

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Austin Tripp

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Biography

Dequn Teng

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Biography

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