Bio

Ser-Huang Poon, a professor at the Alliance Manchester Business School, specialises in FinTech and AI. She has published and working papers in the areas of corporate social responsibility, modern slavery, BigData, NLP analysis of corporate reporting and news, and on blockchain. She is experienced in leading large consortium having managed three EU FP consortia worth about €5 million in total.

Research interests

The research involves building a blockchain that can provide the foundation to advance and innovative forced labour intelligence both nationally and internationally. Apart from the blockchain component, one significant area of interest lies in the ability to use artificial intelligence (AI) techniques to support the various parties from the victim support network who use the system. In particular the software developed should have the appropriate API's supporting information submissions and queries at different permission levels for analysis while also respecting the need to maintain the security and anonymity of the data in the system.

It might be possible to apply AI techniques in multiple areas, for instance the use of google maps to help fill in incomplete geographical information in reports of potential violations, perhaps ultimately spreading to using non-human image recognition to identify likely geographical locations from images captured on a mobile phone. The research will involve investigating the use of Google translate or other language detection and translation API to help managing foreign language telephone and text messages.

Other potential includes the use of AI and machine learning techniques for judging / ranking the anticipated severity and reliability of reported incidents using historical incidents and survey data together with patterns recognition from all current reported incidents, and the use of Smart Contracts to terminate data access according to GDPR requirements in order to meet the legal and ethical requirements within the UK or other international laws.

Achievements and awards

Dr Ser-Huang Poon became a professor at Manchester University in 2003. She has written three books and 63 papers, having published 34 of them; one of the published papers was cited on the Nobel website as a reference reading in volatility. Dr Poon received two best paper awards, one of which is a joint work with the late Nobel Laurette, Prof Clive Granger. She has co-authored a commissioned report for the HMT Foresight Program on the impact of high frequency trading. She has received nine grant awards for research and research training, most of which she was the principal investigator/applicant.

She has managed three Marie Curie ITN grants, two of which (€1million for FP6 and €3.7million for FP7) she served as host. She was appointed a visiting professor at National University of Singapore (NUS) and Victoria University of Wellington at New Zealand, and a distinguished visiting professor at University of Technology, Sydney. She has supervised nine research fellows and 15 PhD students; one of the PhD students received a best doctoral paper at MFS conference last year. Her current research interests evolve around blockchain, FinTech, AI and BigData.