Dequn (Peter) Teng is a PhD in Engineering 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 the University of Cambridge with an MPhil in Engineering, and the University of Liverpool (2+2 routine) with the first class honour degree in Computer Science and Electronic Engineering. His past research experiences lay on blockchain and digital innovation with peer-reviewed conference paper publications on the Academy of Management, IEEE Xplore and EI. Additionally, He has one awarded invention patent, and additional patents under review, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at the Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and has won the Meritorious Winner at Mathematical Contest in Modeling.

Linkedin:

https://www.linkedin.com/in/dequn-teng/

Selected Publications:

D.Wang, D.Teng, Deutsche Bank (China) Digital Transformation: Innovative Practices in Fintech.2021 7th Information Technology and Cybersecurity., Shanghai, China, DOI: 10.19358/j.issn.2096-5133.2021.07.003

D.Teng, T.Yang, Q.Chen, Blockchain Improves Credibility of Educational Background. 2021 4th International Conference on Information and Computer Technologies., Hawaii, United States, DOI: 10.1109/ICICT52872.2021.00050

D.Teng, Y.Yong, X.Huang, A Covid-19 Lockdown Indoor Electric Arm Training Machine’ Design and Mechanism. 2021 the 3rd World Symposium on Artificial Intelligence., Guangzhou, China, DOI: 10.1109/WSAI51899.2021.9486355