Staff Profile
Dr Luke Smith
Lecturer in Data-centric Civil Engineering
- Email: luke.smith@ncl.ac.uk
- Telephone: +44 191 208 6766
- Personal Website: http://www.smith.ac/
- Address: Room 3.13
Cassie Building
Newcastle University
Newcastle upon Tyne
NE1 7RU
UK
Background
Current projects
Luke is a lecturer focusing on the role of digital technologies and data-centric approaches to civil engineering. He trained as a civil engineer, produced a doctoral thesis on the application of supercomputer architectures to detailed flood simulation and forecasting, and worked in industry as a software engineer and technical architect.
He leads the software and standards components as the Deputy Director of the Urban Observatory, is a member of the governance and executive board for the Data and Analytics Facility for National Infrastructure (DAFNI), a NERC Constructing a Digital Environment Fellow, and a co-investigator for a smart building component of the PETRAS National Centre of Excellence for IoT Systems Cybersecurity.
Current projects
- CHARIoT (PI): Toolkit for local authorities as the trusted independent arbiters of smart city data (Research England, Pitch-In)
- TRACK (Co-I): COVID-19 risk model for public transport (EP/V032658/1)
- OpenCLIM (Co-I): Open climate impacts modelling framework (NE/T013931/1)
- PYRAMID (Co-I): Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources (NE/V00378X/1)
- Flood-PREPARED (Co-I): Predicting Rainfall Events by Physical Analytics of REaltime Data (NE/P017134/1)
- DAFNI (Co-I): Data and Analytics Facility for National Infrastructure (EP/R012202/1)
Qualifications
- Doctor of Philosophy, Newcastle University: Computational methods for and applications of high-performance computing in flood simulation (2012 - 2018, part-time)
- Master of Engineering (First-class honours), Newcastle University (2008 - 2012)
Memberships
- Professional Member of the Chartered Institute for IT
- Associate Fellow of the Higher Education Academy
Research
Research interests
- Digital twins
- Real-time simulation
- Microsimulation in fluid and traffic systems
- High-performance computing
- Federated data systems and technical architecture
- Smart cities
Funding
- CHARIoT: Toolkit for local authorities as the trusted independent arbiters of smart city data. HEIF Connected Capability Fund (Pitch-In). PI.
- PPIEM: Privacy-preserving indoor environment monitoring, EPSRC and PETRAS IoT. Co-I.
- REBUSCOV: Removing operational, infrastructural and entry barriers to urban scale computer vision deployments through delivery of open-source training datasets and system management tools, HEIF Connected Capabilty Fund (Pitch-In). PI.
- TRACK (Co-I): COVID-19 risk model for public transport (EP/V032658/1)
- OpenCLIM (Co-I): Open climate impacts modelling framework (NE/T013931/1)
- PYRAMID (Co-I): Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources (NE/V00378X/1)
- Flood-PREPARED (Co-I): Predicting Rainfall Events by Physical Analytics of REaltime Data (NE/P017134/1)
- DAFNI (Co-I): Data and Analytics Facility for National Infrastructure (EP/R012202/1)
Previous projects
- TENDERLY: Towards END-to End flood forecasting and a tool for ReaL-time catchment susceptibilitY (NE/K008781/1). Researcher.
- SINATRA: Susceptibility of catchments to INTense Rainfall and flooding. NERC Flooding from Intense Rainfall programme (NE/K008781/1). Researcher.
- Numerical and Laboratory Modelling Study of Meteo-Tsunamis and Harbour Resonance. Royal Society International Exchanges 2013 NSFC (IE131297). Researcher.
- Online Social Networks (OSNs) Based System for Flood Prediction and Management (EP/K003593/1). Researcher.
- Small items of research equipment at Newcastle University: Developing the future research base in Healthcare Technologies, Sustainability and Digital Economy (SIREN) (EP/K031678/1).
Teaching
Undergraduate teaching
- CEG3305 Computational Engineering Analysis. Lead for water components.
- New module on digital technologies in civil engineering, starting Sept 2021.
Publications
- James P, Das R, Jalosinska A, Smith L. Smart cities and a data-driven response to COVID-19. Dialogues in Human Geography 2020, 10(2), 255-259.
- Mace JC, Morisset C, Smith L. A socio-technical ethical process for managing access to smart building data. In: Living in the Internet of Things (IoT 2019). 2019, London: IET.
- Smith LS, Turner M. Building the Urban Observatory: Engineering the largest set of publicly available real-time environmental urban data in the UK. In: EGU General Assembly 2019. 2019, Vienna, Austria.
- Smith L, Liang Q, James P, Lin W. Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework. Journal of Flood Risk Management 2017, 10(3), 370-380.
- Rashid AA, Liang QH, Dawson RJ, Smith LS. Calibrating a High-Performance Hydrodynamic Model for Broad-Scale Flood Simulation: Application to Thames Estuary, London, UK. In: 12th International Conference on Hydroinformatics (HIC 2016). 2016, Incheon, Korea: Elsevier Science BV.
- Liang QH, Smith L, Xia XL. New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques. Journal of Hydrodynamics 2016, 28(6), 977-985.
- Smith LS, Liang Q. A heterogeneous and parallel computing framework for high-resolution hydrodynamic simulations. In: European Geosciences Union General Assembly 2015. 2015, Vienna, Austria: Copernicus GmbH.
- Liang Q, Smith LS. A High-Performance Integrated Hydrodynamic Modelling System for Urban Flood Inundation. Journal of Hydroinformatics 2015, 17(4), 518-533.
- Smith LS, Liang QH, Quinn PF. Towards a hydrodynamic modelling framework appropriate for applications in urban flood assessment and mitigation using heterogeneous computing. Urban Water Journal 2015, 12(1), 67-78.
- Amouzgar R, Liang Q, Smith L. A GPU-accelerated shallow flow model for tsunami simulations. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 2014, 167(3), 117-125.
- Zhang HB, Wang YL, Liang QH, Smith LS, Kilsby CG. Non-negative depth reconstruction for a two-dimensional partial inertial inundation model. Journal of Hydroinformatics 2014, 16(5), 1158-1177.
- Smith LS, Liang Q, Quinn PF. A flexible hydrodynamic modelling framework for GPUs and CPUs: Application to the Carlisle 2005 floods. In: International Conference on Flood Resilience: Experiences in Asia and Europe. 2013, Exeter, United Kingdom: Centre for Water Systems, University of Exeter.
- Liang Q, Smith LS. A GPU-Accelerated Hydrodynamic Model for Urban Flood Inundation. In: 35th IAHR World Congress. 2013, Chengdu, China: Tsinghua University Press.
- Liang QH, Smith LS. A GPU-Accelerated Hydrodynamic Model for Urban Flood Inundation. In: PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV. 2013, DEPT BUILDING SCI, SCH ARCHITECTURE, SECRETARIAT ISHVAC07, BEIJING, 100084, PEOPLES R CHINA: TSINGHUA UNIV.
- Smith LS, Liang Q. Towards a generalised GPU/CPU shallow-flow modelling tool. Computers & Fluids 2013, 88, 334-343.