Our purpose is to research, develop and demonstrate and enhance innovative technologies that enable and underpin the rapidly evolving digital world.
The School of Electronics, Electrical Engineering and Computer Science has extensive worldwide university and industry research links. Its continuing aim is to provide a vibrant, highly stimulating environment for conducting carefully selected research in topical areas that are of the highest international standard, thereby attracting best calibre academic and postdoctoral staff, overseas visitors and PhD students. It also is active in using its research base to actively promote wider economic benefit across the region and beyond that are aligned with sustainable development goals and societal and economic grand challenges. Research is conducted within a strong Equality Diversity and Inclusion ethos evidenced our Schools holding a Silver SWAN award.
The School is organised by cross collaborating core discipline thematic areas which act as feeders for the Global Research Institute of Electronics, Communications and Information Technology, ECIT and through the thematic area Energy, Power and Intelligent Control, the Centre for Intelligent Autonomous Manufacturing Systems i-AMS.
We constantly identify, refresh and enhance technical research specialties and physical infrastructure in carefully selected areas where we have significant superior technical differentiation. These include Secure systems; Data informed decision making; Real world applied AI; Physical layer wireless and sensing; Embedded renewable power generation; Intelligent systems for advanced manufacture.
In his role as Research Director for the School of EEECS he is responsible for defining the School’s overall research agenda and ensuring that its research is of the highest international quality.
Vincent Fusco specialises in microwave through sub-millimetre front-end circuit architectures and self-tracking antennas, areas in which he has made seminal contributions. He has published over 650 peer reviewed research papers, 2 books and holds 12 patents. He is a Fellow of the IEEE, Member of the Royal Irish Academy and Fellow of the UK Royal Academy of Engineering, the Irish Academy of Engineering as well as the Institution of Engineering Technology (IET) and is a Chartered Engineer. In 2012 he was awarded the IET Senior Achievement Award the Mountbatten Medal and in 2019 the Royal Irish Academy Gold Medal for Engineering Sciences.Vincent's Research
RESEARCH ENVIRONMENT AND CULTURE
A defining feature of the School of Electronics, Electrical Engineering and Computer Science is the ability to sustain a pipeline of world-leading research in carefully selected areas that delivers impact through commercialisation and knowledge exchange. We are at the centre of many initiatives being delivered through the research councils, business agencies and industry. Working with our partners regionally, and globally, we deliver technologies that inform the knowledge-based, data-driven economy while taking into account UN Sustainable Development Goals.
For this purpose EEECS has chosen to focus on six thematic core research areas:
- Artificial Intelligence
- Wireless Communications
- Computing Systems
- Energy, Power and Intelligent Control
- Software Engineering
EEECS has had a number of notable achievements during the past few years including:
- 2016 Award of an esteemed Regius Professorship by Her Majesty the Queen to recognise exceptionally high quality research in Electronics and Computer Engineering.
- A Royal Academy of Engineering Research Chair
- Numerous personal fellowships including a UKRI Future Leader fellowships, several RAEng fellowships, and a Leverhulme Trust Research Leadership fellowship
New staff to the School are allocated a senior colleague as a mentor. They also have an initial reduced teaching load, and access to university training courses to help develop their research, leadership and teaching skills including the PCHET (Postgraduate Certificate in Higher Education Teaching). Incoming academic staff are supported through start-up packages for networking and research activities, as well as an internal peer review system to support them in the preparation of grant applications.
RESEARCH COMMUNITY AND CULTURE
A key priority for EEECS is to foster a close community by supporting and developing our postdoctoral researchers and PhD students through training and mentoring. All our researchers are members of the Faculty Postdoctoral society, which aims to:
- Increase integration of research staff and research students into EEECS life and help them, particularly those new to Belfast, to get to know other researchers;
- Increase their voice and visibility;
- Provide greater opportunities for interactions, discussion and dissemination of ideas and collaborations;
- Provide space for social and networking opportunities.
OUR RESEARCH THEMES
Artificial intelligence research exploits a range of modern machine learning techniques to solve the challenging problems of image and video analysis, cognitive neuroscience, natural language understanding and intelligent robotics.
Wireless research is driven by the need to develop innovative physical layer technologies which will underpin the communications systems of tomorrow.
Computing systems research investigates, explores and advances computing architectures and techniques for the next generation of connected devices and the explosion of information they will produce.
EPIC is dedicated to addressing the challenges around the digitisation of manufacturing and the integration of low carbon technologies into power networks.
The software engineering research theme is multidisciplinary, innovative and collaborative. We work with academia, industry, policy makers, the third sector and community groups. We contribute empirically, theoretically and methodologically to both understand and improve software engineering practice, and to improve the impact of software engineering on individuals, groups, organisations, society, the economy and the environment.
- 3 August 2021
A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systemsAugust 2021
BBAS: Towards large scale effective ensemble adversarial attacks against deep neural network learningAugust 2021
- Yuan Ding
- Vincent Fusco
- Xingwang Li
- August 2021