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 overseen over US$2.5 million in project funding as the PI and has received various national and international awards for his work in advanced data analytics, machine learning, and decision support systems research. These 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 abstraction machine-learning approach [news], Research England’s Global Challenge Research Fund (GCRF), as well as the MPU-Macau Fund. 

Paul currently serves as an Editor for ACM Computing Surveys (Q1). He has previously served as an Editor for IEEE Transactions on Sustainable Computing (Q1), IEEE COMML (Q1) and IEEE Access (Q1). 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 dedicated to merging advancements in machine learning with the evolution of cybersecurity. The lab is at the forefront of developing the next generation of intelligent cyber defence mechanisms. It fosters a cutting-edge security research environment that focuses on both reactive detection and proactive prediction of threats. His team has pioneered big data-based proactive forecasting methods for assisting strategic descision makers. 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