Synopsis

Prior to his current post at Birkbeck (Univ. of London), Paul has held academic and research positions at esteemed institutions such as Cranfield (Defence Academy of the UK), Sydney (USyd) and South Korea (KAIST). He was trained originally as a data scientist with degrees from the University of Sydney, Australia, and has since published over one hundred papers in prestigious journals and conferences. He has also been the recipient of over US$ 2.5 million in project funding, and various national and international awards for his work in advanced data analytics, machine learning and secure systems research. These accolades include the IEEE Outstanding Leadership Award, Rozetta Award (formerly CMCRC), Emirates Foundation Research Award, and the ICT Fund Award. Most recently, he was awarded the Samsung award for his research on novel abstract-feature-based learning approach [news], Research England’s Global Challenge Research Fund (GCRF), as well as the MPU-Macau Fund. 

Paul serves as an Associate Editor for several high-ranked journals, including ACM Computing Surveys (Q1), IEEE Transactions on Sustainable Computing (Q1) and IEEE Access (Q1). He has previously served as an Editor for IEEE COMML (Q1) in the areas of big data and machine learning from 2014 to 2019. He is also affiliated with the University of Sydney and Korea Advanced Institute of Science and Technology (KAIST) as a Visiting Professor. Paul is a Senior Member of the IEEE and a Fellow of HEA. 

As the Founder and Chair of BIDA's Threat Intelligence Lab, Paul leads a team that aims to bridge the gap between machine learning advancements and the progression of cyber security. The lab is focused on creating the next generation of intelligent cyber defence and security research environment, including applications of cyber physical systems. The lab currently houses 11 PhD students, and recent photos of their lab meetings can be found here.

Paul’s research is centred around the theory and methodology of machine learning for large-scale real-world problems. He has successfully applied various machine learning and big data analytic approaches to diverse problem domains, such as psychology, security, biology, finance, and manufacturing.

Paul has also supervised a number of PhD/MSc by Research students to completion, and he welcomes inquiries about research degree (PhD/MPhil) and internship opportunities. 

Consultancy

Paul recently launched a new business consultancy service for the Centre for Professional Development (CfPD) and BIDA, called the AI and Data Analytics Clinic. He has published a blog with more information on this new venture. 

Clients

Research England

Samsung

BT

Huawei

Technology Innovation Institute (TII), Abu Dhabi

DSTL

ESA