Summary of Research Grants

 

My grants cover 3 interdependent areas: Human, Cyber, and Physical systems - interconnected by Intelligence. A summary of the grants are given below:
 

  • Total as PI to host: £2.4m

  • Total investigator: £6.3m

  • Externally funded post-doc years: 15.7

  • Externally funded PhD years: 7.0

List of Grants & Details
 
  • EPSRC: CoTRE - Complexity Twin for Resilient Ecosystems (EP/R041725/1)
    PI, £238k, 2018-20, Link

  • EC H2020: DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything (778305)
    PI (SiC) & Coordinator, €270k (Total: €1.1m), 2017-21,Link

  • EC H2020: Mo-IoNT - Molecular Internet-of-Nano-Things (792799)
    PI (SiC), €195k, 2018-20, Link

  • InnovateUK & Ranplan: ODIN - Online Data Integrated Network (KTP10734)
    PI, £199k, 2018-20, Link

  • Geospatial Commission & InnovateUK: COCKPIT 5G - Crowd Blackspot Intelligence for 5G Rollout (29634)
    PI, £104k (Total: £210k), 2019-20 

  • EPSRC: EPSRC Centre for Doctoral Training in Urban Science and Progress (EP/L016400/1)
    CI, £3.9m, 2014-22, Link

  • DSTL (DASA): UNSURE - Unstable Behaviour on the Edge of Communities (ACC6005162)
    PI, £100k, 2019, Link

  • DSTL (DASA)MEDE - Molecular Communications for Electromagnetic-Denied Environments (ACC102665)
    PI, £90k, 2017-18, Link 

  • USAF (AFOFSR): MolSig - Molecular Signalling in Complex Environments (FA9550-17-1-0056)
    PI, $166k, 2017-21, Link

  • Alan Turing Institute (D&S and DCE): Turing Fellowship (0.3-0.5 FTE)
    PI, £160k, 2017-19, 2019-21 (CONTINENT) 

  • Alan Turing Institute (D&S): GUARD - Global Urban Analytics for Resilient Defence
    PI, £250k, 2017-19, Link

  • Alan Turing Institute (Lloyd's Register): CHANCE - Coupled Human And Natural Critical Ecosystems
    PI, £290k, 2018-20, Link

  • EPSRC (DTG PhD Studentship): Patterns of City Formation and Development (EP/N509796/1) (2109287)
    Supervisor, 2018-22, Link

  • Lloyd's Register (ICON) PhD Studentship: Towards Invisible Nanoscale Chemical Tagging (ICON-23)
    CI, 2017-21, Link

  • Think Forward Initiative: Digital and Physical Access to Critical Financial Service Infrastructure
    CI, €10k, 2019 

  • Warwick SoE: Nanopore Molecular Sensors
    PI, £29k, 2018 

  • Royal Society (IE): Small Talk - Talking between Small Thing
    PI, £11k, 2016-18, Link

  • EPSRC (ENCORE+): Nature Inspired Routing for Resilient Networked Systems
    PI, £9.6k, 2017-18 

  • Warwick Alumni: SEED - Sunlight ExposurE Database
    PI, £50k, 2014-17 

  • Warwick RDF: High-Speed Rail Health Monitoring
    CI, £24k, 2016-17 

  • Warwick RDF: Mobile Sensing for Smart Cities
    CI, £18k, 2016-17 

  • British Council: Urban Science and Information Engineering (INB/CONT/0165)
    PI, £5k, 2013-15 

  • Royal Society (IE): Nano-communications for Smart Cities (IE130762)
    PI, £5k, 2012-14 

CHANCE - Coupled Human and Natural Critical Ecosystems

Using network science and signal processing to tackle the large uncertainties caused by chain reactions in critical infrastructure systems

Alan Turing Institute: DCE (LRF)

2018-21

Prof. Weisi Guo

£290k

Sir Alan Wilson, Prof. J. McCann, et al.

AI, Complex Network, Water, Infrastructure, Resilience

COCKPIT 5G - Crowd Blackspot Intelligence for 5G Rollout

This project will curate geospatial social media data of wireless blackspots to enable 5G service rollout to improve both urban and rural coverage. The future wireless broadband on our digital economy is critical to ensuring connectivity across a wide range of social and industrial sectors, including driverless cars and manufacturing. Understanding consumer experience in real-time using context rich geospatial social media data is critical and the machine learning and data gathering innovations will transform UK businesses and empower UK to lead the AI and 5G revolution.

InnovateUK (29634)

2019-20

Prof. Weisi Guo

£104k

Prof. R. Procter

Data Science, NLP, Wireless

Centre for Doctoral Training in Urban Science and Progress

This century is set to be the century of the city. Ever-increasing urbanisation is proceeding against a backdrop of advances in digital technologies and data availability and analysis, which are having profound effects on the ways that the future of cities is unfolding. Emerging from this intersection of urban growth and 'big data' is the discipline of urban science which can assist governments, industry and citizens to move beyond imperfect understanding and use data to undertake tasks such as optimising operations (e.g. service delivery, traffic flow), monitoring the condition of infrastructure (e.g. bridge conditions, water leaks), planning new, more efficient, infrastructure (e.g. public transport, utilities provision), responding to abnormal conditions (e.g. hazard detection, emergency management), developing new and effective policies, enhancing economic performance and, informing and communicating with citizens to improve quality of life.

EPSRC (EP/L016400/1)

2014-22

Prof. Stephen Jarvis

£3,910k

J. Coaffee, G. Cormode, R. Procter, W. Guo, I. Guymer, M. Gillie

Data Science, Geo Informatics, Machine Learning, NLP, Urban Analytics

CoTRE - Complexity Twin for Resilient Ecosystems

As we accelerate into the 21st century, our backbone engineering systems are becoming increasingly complex and connected. Many of our critical infrastructure ecosystems are comprised of interdependent sub-systems, each governed by complex non-linear dynamics and cascade interactions. The CoTRE project will build a mathematical mirror to the UK's critical infrastructure ecosystems. The "complexity twin" will be a world first attempt to understand the resilience of large-scale complex systems that increasingly face threats from man-kind and nature. The project will address the fundamental theoretical aspects of the stability of complex systems and work with a variety of critical infrastructure operators to develop short term and long term resilience investment strategies.

EPSRC (EP/R041725/1)

2018-20

Prof. Weisi Guo

£238k

AI, Complex Network, Nonlinear Dynamics, Resilience, Signal Processing

DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything

In this project, we exploit heterogeneous big data analytics to optimize both the deployment and operations of wireless networks. We design protocols that enable future Data Aware Wireless Networks (DAWN) for enabling a new age of Internet of Everything (IoE).

H2020 (778305)

2017-21

Prof. Weisi Guo

€1,107k

Dr. Y. Chen, Dr. C. Mias

AI, Data Science, Mobile Edge Computing, NLP, Wireless

GUARD - Global Urban Analytics for Resilient Defence

Understanding the mechanics that cause conflict and identifying multi-scale population areas that are at risk of conflict. Developing generative multi-layered dynamic network models, that are informed by data science to make predictions and consolidate conflict knowledge domains.

Alan Turing Institute: D&S

2017-19

Prof. Weisi Guo

£250k

Sir Alan Wilson

AI, Complex Network, Nonlinear Dynamics, Political Science, Data Science,

MEDE - Molecular Communications for Electromagnetic-Denied Environments

Current electromagnetic (EM) signals suffer heavy propagation loss in environments with complex boundaries and are vulnerable to jamming. In this project, we explore the robustness of molecular communications in complex topologies relevant to military scenarios.

DSTL (ACC102665)

2017-18

Prof. Weisi Guo

£90k

Prof. Peter Thomas

Information Theory, Fluid Dynamics, Military Communication

Mo-IoNT - Molecular Internet-of-Nano-Things

The Internet-of-Nano-Things (IoNT) paradigm has the potential to dramatically transform society and is recognised as one of the top 10 emerging technologies by the World Economic Forum. In order to connect nano-scale devices, this timely fellowship will focus on molecular signalling, which underpins multi-scale coordinated biological actions. Despite its prevalent nature, we do not yet understand the information carrying potential of molecular signals in complex and multi-scale fluids, nor do we know how to design credible communication protocols.

H2020 (792799)

2018-20

Prof. Weisi Guo

€195k

Information Theory, Fluid Dynamics, Synthetic Biology

MolSig - Molecular Signalling in Complex Environments

The aim is to understand the fundamental advantages and limitations of molecular signaling in complex environments and exploit its potential for nano-scale communications.

US AFOSR (FA9550-17-1-0056)

2017-20

Prof. Weisi Guo

$166K

Prof. Peter Thomas

Information Theory, Fluid Dynamics, Synthetic Biology

ODIN - Online Data Integrated Network

To leverage on the increasing availability of geo-tagged online social data to guide wireless network infrastructure deployment. To enable the development of holistic traffic and service aware deployment optimisation and planning solutions.

InnovateUK (10734)

2018-20

Prof. Weisi Guo

£199k

Prof. R. Procter

AI, Data Science, NLP, Wireless

Patterns of City Formation and Development

Cities are complex entities, which escape simplistic description. In an attempt to better understand how cities emerge and develop, this project looks at possible ways to study the complexity of city networks and their evolution in time. We aim to expose further insights towards the identification of mathematical laws governing the evolution of cities.

EPSRC (EP/N509796/1 - 2109287)

2018-22

Prof. Weisi Guo

Data Science, Spatial Modeling, Urban Analytics

Towards Invisible Nanoscale Chemical Tagging

LRF: ICON-23

2017-21

Dr. Andrew Eckford

£50k

Prof. Weisi Guo

Information Theory, Nanotechnology

Turing Fellowship

Fellowship for DCE and D&S Projects

Alan Turing Institute: DCE, D&S

2017-19

Prof. Weisi Guo

£49k

Complex Network, Data Science, Nonlinear Dynamics

UNSURE - Unstable Behaviour on the Edge of Communities

Unstable social behaviour often occurs on the fringe and in-between contrasting social identities. Today, the same challenge exists on the social media sphere, where the self-identity can be torn between opposing echo chambers.

DSTL (ACC6005162)

2019-19

Prof. Weisi Guo

£100k

AI, Complex Network, Social Media, NLP

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