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Research project

Wearable and Autonomous Computing for Future Smart Cities - Platform Grant

Project overview

The focus of this Platform Grant is the combination of wearable systems networked with smart city and building management systems, and the processing of the collected data. The Platform will cover infrastructure and devices and will require innovation in hardware and software in order to realise the goal of a people centred smart city. The topic of the Platform and the underpinning research themes require a multidisciplinary approach that can be provided by the unique expertise of the research group in the Department of Electronics and Computer Science at the University of Southampton.

Applications of the technologies will enable effective collection, communication, and processing of this data that, in turn, will enable applications such as crowdsensing activities or allow, for example, the provisioning of ultra-personalised services for users to enrich their experience as they navigate their environment, and engage in work and leisure. Such a capability would allow them to purchase personalised services (e.g. healthcare, entertainment, fashion), enable participatory sensing initiatives to support smart city applications (e.g. real-time traffic updates, pollution monitoring), or help coordinate evacuations during major disasters. Combining wearable sensors with intelligent building management systems can provide distributed sensing of the environment within the building as well as monitoring user activity and wellbeing in order to improve the effectiveness and efficiency of building services (e.g. heating, and ventilation). Such a capability will also become an important research tool to aid in our understanding of building occupant behaviour.

Key research challenges exist in developing user-friendly ubiquitous energy-constrained wearable systems and interfacing these reliably and securely with external networks. Wearable sensors and devices will place individuals at the centre of the smart city and enable a step change in the level of interaction possible. It is essential to develop robust, agile algorithms and mechanisms that can cope with potential failures that may arise in the sensors and networks. Combining AI with sensors enables intelligent interacting agents that can form multi-agent systems exceptionally capable of solving problems and interpreting information. Such developments will underpin autonomous systems, benefit the burgeoning Internet of Things (IoT) and enable the next generation of smart city applications. A flexible funding Platform underpinning the group in these crucial areas of expertise will enable pioneering work and the pursuit of emerging opportunities.

Staff

Lead researcher

Professor Stephen Beeby PhD, FIEEE, FInstP, FIET, CEng, CPhys

Professor of Electronic Systems & Device

Research interests

  • Electronic Textiles
  • Flexible Electronics
  • Smart Materials
Other researchers

Professor Bashir Al-Hashimi CBE, FREng, FIEEE, FIET, FBCS

Research interests

  • Energy-efficient mobile computing systems
  • Low-power test and test-data compression of digital integrated circuits and energy-harvesting computing
  • Wearable and Autonomous Computing for Future Smart Cities

Professor Gopal Ramchurn

Professor of Artificial Intelligence

Professor Geoff Merrett PhD, BEng, PGCert, FHEA, SMIEEE, MIET

Professor

Research interests

  • Energy management of mobile/embedded systems
  • Self-powered computing
  • Internet of Things

Professor Sebastian Stein

Professor

Research interests

  • Citizen-Centric Artificial Intelligence Systems
  • Mechanism Design and Incentive Engineering in Multi-Agent Systems
  • Applications of AI in smart energy, transportation, electric vehicle charging and disaster response

Dr Alex Weddell MEng, PhD, FHEA, MIEEE

Associate Professor

Research interests

  • Energy Harvesting
  • Internet of Things
  • Energy Management/Storage

Collaborating research institutes, centres and groups

Research outputs

Theodoros D. Verykios,
Domenico Balsamo,
, 2023
Type: conference
Mahmoud Wagih,
Leonardo Balocchi,
Francesca Benassi,
Nuno B. Carvalho,
J.-C. Chiao,
Ricardo Correia,
Alessandra Costanzo,
Yepu Cui,
Carolina Gouveia,
Jasmin Grosinger,
John S. Ho,
Kexin Hu,
Sam Lemey,
Caroline Loss,
Gaetano Marrocco,
Paul Mitcheson,
Valentina Palazzi,
Nicoletta Panunzio,
Giacomo Paolini,
Pedro Pinho,
Josef Preishuber-Pflugl,
Yasser Qaragoez,
Hamed Rahmani,
Hendrik Rogier,
Jose Romero Lopera,
Luca Roselli,
Dominique Schreurs,
Manos Tentzeris,
Xi Tian,
Russel Torah,
Ricardo Torres,
Patrick Van Torre,
Dieff Vital,
, 2022 , IEEE Journal of Microwaves
Type: review
Mahmoud Wagih,
& Junjie Shi
, 2022 , IEEE Open Journal of Antennas and Propagation , 3 , 687 -- 699
Type: article
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