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Showcase of QMUL electronic engineering and computer science

Researchers from QMUL’s School of Electronic Engineering and Computer Science (EECS) presented some their research to colleagues and visitors at the Mile End Campus.

28 April 2015


The annual showcase which took place on Wednesday 22 April featured presentations, demonstrations and academic posters. It was an opportunity for others from across the university to learn more about the research taking place in EECS and for representatives of business to find out how QMUL research could help them.

Among the presentations were overviews of the research taking place in the Centre for Digital Music, as well as in cognitive science, computer vision, multimedia and vision, networks, risk and information management, theoretical computer science, and antennas and electromagnets.

Visitors also got the opportunity to learn about the work of the CHI+MED team to improve the safety of interactive medical devices through understanding of how people use them; Dr Bob Sturm’s work on intelligent machine music listening; and how quantum technologies can improve document search.

In the afternoon there were industrial talks from IESO Digital Health, Cisco, Facebook, BAE Systems, Anglo Scientific, and Omnifone talking about industrial collaborations.

During the breaks visitors could see demonstrations of some of the outputs of the research. One of the most popular was Dr Oya Celiktutan’s personality analysing robot which could be used to make robots that interact with humans able to adapt to subtle clues about their personality and responses. The MAPTRAITS system developed by Dr Hatice Gunes, Dr Oya Celiktutan Dikici and Evangelos Sariyanidi has cameras pointed at the visitor throughout the interaction and analyses non-verbal clues to provide constant feedback on the Big Five dimensions of personality: openness, conscientiousness, extraversion, agreeableness, and neuroticism.

Dr Oya Celiktutan Dikici said:

“Various forms of artificial intelligence ranging from smart phone applications to robots have become an integral part of our daily lives. To improve user experience and engagement, we want to develop more socially and emotionally intelligent systems that not only can sense their users’ personalities, but also adapt to them.”

Watch this video to see the system in action:

More Information:

For media information, contact:

Neha Okhandiar
Public Relations Manager
Queen Mary University of London
email: n.okhandiar@qmul.ac.uk
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