The School of Electronic Enginering and Computer Science is celebrating after a strong showing at the annual Queen Mary Research and Innovation (R&I) Awards ceremony held at the Barbican Centre yesterday, taking home two awards and named highly commended across other categories.
The Queen Mary Research and Innovation Awards celebrate the outstanding contributions of the university's research community. This year’s ceremony highlighted the diverse range of groundbreaking work undertaken by university members. The winners from the School of Electronic Engineering and Computer Science (EECS) are:
Early Career Researcher Award – Dr Yuanwei Liu (School of Electronic Engineering and Computer Science)
Dr Liu's research focuses on simultaneous transmission and reflection surfaces. He is the Principal Investigator of the STAR laboratory and a Senior Lecturer in the School of Electronic Engineering and Computer Science. Dr Liu received his PhD from Queen Mary in 2016 and holds distinctions such as Fellow of the IEEE and AAIA, Web of Science Highly Cited Researcher, IEEE Communication Society Distinguished Lecturer, and IEEE Vehicular Technology Society Distinguished Lecturer. Dr Liu's accomplishments extend beyond his research, with recognitions including the 2020 IEEE ComSoc Outstanding Young Researcher Award for the Europe, Middle East and Africa Region, the 2020 Early Achievement Award of the IEEE ComSoc - Signal Processing and Computing for Communications (SPCC) Technical Committee, and the 2021 IEEE CTTC Early Achievement Awards.
The award committee singled out Dr Liu's application for his exceptional academic achievements, even in a competitive year. They were particularly impressed by his leadership in establishing a lab at the forefront of global R&D and his dedication to fostering a more inclusive and supportive environment within engineering research and development.
Impact: Enterprise and Commercial Innovation Award – Dragonfly AI (Digital Environment Research Institute/ School of Electronic Engineering and Computer Science)
Dragonfly AI, born from the groundbreaking research of the late Professor Peter McOwan and Dr Hamit Soyel in 2012, is a visual analytics platform that leverages cutting-edge neuroscience-informed artificial intelligence to help clients understand how effectively their designs engage audiences.
Dragonfly AI is a leading innovator in the predictive visual analytics field, boasting an impressive client list that includes some of the world's biggest consumer brands such as Harrods, GSK, Mitsubishi, Mars, and Jaguar Land Rover. Initially developed collaboratively with Queen Mary Innovation as a "spot-the-difference" software, it has evolved into a globally recognised platform. Launched in 2018, Dragonfly AI secured significant funding – £625,000 in seed funding and a remarkable £3 million in Series A funding – propelling them to global leadership in AI-driven content optimization.
Other EECS staff members were also highly commended across several other categories: the Teaching London Computing team were highly commended for the Impact - Culture, Civic, Community and Policy category; the Audio Engineering Team was highly commended for the Impact - Enterprise category; and Mathieu Barthet was highly commended for the Research Supervisor category.
Many congratulations to all our winners and all staff nominated in this year's awards!