![Arthur Lam BEng, PhD, AFHEA](https://profiles-cardiff.imgix.net/attachments/3956?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Arthur Lam
(e/fe)
BEng, PhD, AFHEA
Timau a rolau for Arthur Lam
Darlithydd
Trosolwg
Arthur graduated as a civil engineer and researcher and have participated in research in water quality modelling, flood mitigation, transient-based defect detection in water supply systems and hydrodynamic stability theories. My current research involves mechanistic and artificial intelligence (AI) models for sustainable development and public information concerning water quality. The key research questions are:
- Mechanistic model assumptions in coastal waters: There is no general consensus concerning the turbulence and bacteria decay models suitable for coastal waters. While the suitability of these models are site and bacteria dependent, factors governing the use of such models require clarification.
- AI models: AI models require less computational power and obtain water quality predictions quicker than mechanistic models. Nonlinear AI models are being developed to better predict bathing water quality, especially faecal indicator bacteria concentrations.
I am also a member of the International Association for Hydro-environment Engineering and Research (IAHR).
Cyhoeddiad
2027
- Li, C. et al. 2027. Flood shelter identification using a mechanics-based approach and triangular fuzzy analytical hierarchy process. Safety Science 205 107447. (10.1016/j.ssci.2026.107447)
2026
- Li, C. et al., 2026. Enhancement of risk-based metaheuristic flood evacuation route optimisation algorithms. Urban Climate 68 103047. (10.1016/j.uclim.2026.103047)
- Amini, H. et al. 2026. A multi-stage data-driven approach for identifying lake stratification and mixing regimes by integration of machine learning and physical indicators. Results in engineering 30 110265. (10.1016/j.rineng.2026.110265)
- Amini, H. , Lam, M. and Ahmadian, R. 2026. Improved hydro-epidemiological prediction of faecal indicator organisms using knowledge distillation inspired machine learning through dimensionality reduction. Journal of Environmental Management 406 129792. (10.1016/j.jenvman.2026.129792)
2025
- Liu, Y. , Lam, M. Y. and Ahmadian, R. 2025. A dynamical programming algorithm for optimal control of tidal range schemes [Abstract]. Proceedings of the 41st IAHR World Congress (10.64697/978-90-835589-7-4_41WC-P1730-cd)
- Li, C. et al. 2025. An overview of flood evacuation planning: Models, methods, and future directions. Journal of Hydrology 656 133026. (10.1016/j.jhydrol.2025.133026)
- Amini, H. et al. 2025. TDS prediction with wavelet analysis and trend-seasonal decomposition and machine learning algorithms, Case Study: Karkheh River, Iran. Water Conservation Science and Engineering 10 (2) 63. (10.1007/s41101-025-00390-z)
- Amini, H. , Lam, M. Y. and Ahmadian, R. 2025. Studying the causality of the key variables inflluencing the fecal indicator organsims [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 37699.
- Amini, H. , Lam, M. Y. and Ahmadian, R. 2025. Tidal phase-based characterization of water quality in coastal areas using deep learning algorithms and hydrodynamics modeling, case study: Swansea Bay, United Kingdom [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 37698.
- Yu, H. et al., 2025. A geo-adaptive machine learning model for flood mapping [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 38129.
- Lam, M. Y. and Ahmadian, R. 2025. Enhancing transport and decay models for faecal indicator organisms in nearshore coastal waters. Environmental Pollution 372 126055. (10.1016/j.envpol.2025.126055)
- Li, C. et al. 2025. Optimising urban flood evacuation routes with metaheuristic algoritnms: A case study of York, UK. Presented at: 41st IAHR World Congress Singapore 22-27 June 2025. Published in: Wing-Keung Law, A. and Wei Er, J. eds. Proceedings of the 41st IAHR World Congress. IAHR. (10.64697/978-90-835589-7-4_41WC-P1957-cd)
2024
- Lam, M. Y. and Ahmadian, R. 2024. Enhancing hydro-epidemiological modelling of nearshore coastal waters with source-receptor connectivity study. Environmental Pollution 345 123431. (10.1016/j.envpol.2024.123431)
- Pregnolato, M. et al., 2024. Using multi-stakeholder causal mapping to explore priorities for infrastructure resilience to flooding. International Journal of Disaster Risk Reduction 101 104189. (10.1016/j.ijdrr.2023.104189)
- Evans, B. et al., 2024. A combined stability function to quantify flood risks to pedestrians and vehicle occupants. Science of the Total Environment 908 168237. (10.1016/j.scitotenv.2023.168237)
2023
- Lam, M. and Ahmadian, R. 2023. Predicting fecal-indicator organisms in coastal waters using a complex nonlinear artificial intelligence model. Journal of Environmental Engineering 149 (2)(10.1061/JOEEDU.EEENG-6986)
2021
- Yan, H. , Lam, M. and Lee, J. H. 2021. Field measurements and numerical modeling of hydraulic transients in HDPE pipeline with PRV interaction. Journal of Hydraulic Engineering 147 (6) 04021018. (10.1061/(ASCE)HY.1943-7900.0001873)
2019
- Lam, M. Y. , Ghidaoui, M. S. and Kolyshkin, A. A. 2019. Hydraulics of shallow shear flows: onset, development and practical relevance. Environmental Fluid Mechanics 19 (5), pp.1121–1142. (10.1007/s10652-019-09682-0)
- Arega, F. , Lam, M. Y. and Lee, J. H. W. 2019. Supercritical stormwater flow interception through bottom rack with transverse barrier. Journal of Irrigation and Drainage Engineering 145 (4) 05019002. (10.1061/(ASCE)IR.1943-4774.0001371)
2016
- Lam, M. Y. , Ghidaoui, M. S. and Kolyshkin, A. A. 2016. The roll-up and merging of coherent structures in shallow mixing layers. Physics of Fluids 28 (9) 094103. (10.1063/1.4960391)
2014
- Lam, M. Y. and Ghidaoui, M. S. 2014. Fourier analysis of the roll-up and merging of coherent structures in shallow mixing layers. Environmental Fluid Mechanics 14 (5), pp.997-1026. (10.1007/s10652-014-9371-2)
2010
- Lam, M. , Liu, H. and Ghidaoui, M. 2010. The sensitivity of shallow mixing layers to upstream perturbations and its implication to numerical code validation. Journal of Hydrodynamics 22 (S1), pp.639-645. (10.1016/S1001-6058(10)60011-X)
- Lam, M. Y. , Liu, H. W. and Ghidaoui, M. S. 2010. Investigation of temporal mixing layer in shallow water with BGK algorithm. Journal of Hydro-environment Research 4 (2), pp.123-129. (10.1016/j.jher.2010.04.007)
- Liu, H. , Lam, M. Y. and Ghidaoui, M. S. 2010. A numerical study of temporal shallow mixing layers using BGK-based schemes. Computers and Mathematics with Applications 59 (7), pp.2393-2402. (10.1016/j.camwa.2009.08.046)
Cynadleddau
- Li, C. et al. 2025. Optimising urban flood evacuation routes with metaheuristic algoritnms: A case study of York, UK. Presented at: 41st IAHR World Congress Singapore 22-27 June 2025. Published in: Wing-Keung Law, A. and Wei Er, J. eds. Proceedings of the 41st IAHR World Congress. IAHR. (10.64697/978-90-835589-7-4_41WC-P1957-cd)
Erthyglau
- Li, C. et al. 2027. Flood shelter identification using a mechanics-based approach and triangular fuzzy analytical hierarchy process. Safety Science 205 107447. (10.1016/j.ssci.2026.107447)
- Li, C. et al., 2026. Enhancement of risk-based metaheuristic flood evacuation route optimisation algorithms. Urban Climate 68 103047. (10.1016/j.uclim.2026.103047)
- Amini, H. et al. 2026. A multi-stage data-driven approach for identifying lake stratification and mixing regimes by integration of machine learning and physical indicators. Results in engineering 30 110265. (10.1016/j.rineng.2026.110265)
- Amini, H. , Lam, M. and Ahmadian, R. 2026. Improved hydro-epidemiological prediction of faecal indicator organisms using knowledge distillation inspired machine learning through dimensionality reduction. Journal of Environmental Management 406 129792. (10.1016/j.jenvman.2026.129792)
- Liu, Y. , Lam, M. Y. and Ahmadian, R. 2025. A dynamical programming algorithm for optimal control of tidal range schemes [Abstract]. Proceedings of the 41st IAHR World Congress (10.64697/978-90-835589-7-4_41WC-P1730-cd)
- Li, C. et al. 2025. An overview of flood evacuation planning: Models, methods, and future directions. Journal of Hydrology 656 133026. (10.1016/j.jhydrol.2025.133026)
- Amini, H. et al. 2025. TDS prediction with wavelet analysis and trend-seasonal decomposition and machine learning algorithms, Case Study: Karkheh River, Iran. Water Conservation Science and Engineering 10 (2) 63. (10.1007/s41101-025-00390-z)
- Amini, H. , Lam, M. Y. and Ahmadian, R. 2025. Studying the causality of the key variables inflluencing the fecal indicator organsims [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 37699.
- Amini, H. , Lam, M. Y. and Ahmadian, R. 2025. Tidal phase-based characterization of water quality in coastal areas using deep learning algorithms and hydrodynamics modeling, case study: Swansea Bay, United Kingdom [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 37698.
- Yu, H. et al., 2025. A geo-adaptive machine learning model for flood mapping [Abstract]. Book of Extended Abstracts of the 41st IAHR World Congress (Singapore, 2025) 38129.
- Lam, M. Y. and Ahmadian, R. 2025. Enhancing transport and decay models for faecal indicator organisms in nearshore coastal waters. Environmental Pollution 372 126055. (10.1016/j.envpol.2025.126055)
- Lam, M. Y. and Ahmadian, R. 2024. Enhancing hydro-epidemiological modelling of nearshore coastal waters with source-receptor connectivity study. Environmental Pollution 345 123431. (10.1016/j.envpol.2024.123431)
- Pregnolato, M. et al., 2024. Using multi-stakeholder causal mapping to explore priorities for infrastructure resilience to flooding. International Journal of Disaster Risk Reduction 101 104189. (10.1016/j.ijdrr.2023.104189)
- Evans, B. et al., 2024. A combined stability function to quantify flood risks to pedestrians and vehicle occupants. Science of the Total Environment 908 168237. (10.1016/j.scitotenv.2023.168237)
- Lam, M. and Ahmadian, R. 2023. Predicting fecal-indicator organisms in coastal waters using a complex nonlinear artificial intelligence model. Journal of Environmental Engineering 149 (2)(10.1061/JOEEDU.EEENG-6986)
- Yan, H. , Lam, M. and Lee, J. H. 2021. Field measurements and numerical modeling of hydraulic transients in HDPE pipeline with PRV interaction. Journal of Hydraulic Engineering 147 (6) 04021018. (10.1061/(ASCE)HY.1943-7900.0001873)
- Lam, M. Y. , Ghidaoui, M. S. and Kolyshkin, A. A. 2019. Hydraulics of shallow shear flows: onset, development and practical relevance. Environmental Fluid Mechanics 19 (5), pp.1121–1142. (10.1007/s10652-019-09682-0)
- Arega, F. , Lam, M. Y. and Lee, J. H. W. 2019. Supercritical stormwater flow interception through bottom rack with transverse barrier. Journal of Irrigation and Drainage Engineering 145 (4) 05019002. (10.1061/(ASCE)IR.1943-4774.0001371)
- Lam, M. Y. , Ghidaoui, M. S. and Kolyshkin, A. A. 2016. The roll-up and merging of coherent structures in shallow mixing layers. Physics of Fluids 28 (9) 094103. (10.1063/1.4960391)
- Lam, M. Y. and Ghidaoui, M. S. 2014. Fourier analysis of the roll-up and merging of coherent structures in shallow mixing layers. Environmental Fluid Mechanics 14 (5), pp.997-1026. (10.1007/s10652-014-9371-2)
- Lam, M. , Liu, H. and Ghidaoui, M. 2010. The sensitivity of shallow mixing layers to upstream perturbations and its implication to numerical code validation. Journal of Hydrodynamics 22 (S1), pp.639-645. (10.1016/S1001-6058(10)60011-X)
- Lam, M. Y. , Liu, H. W. and Ghidaoui, M. S. 2010. Investigation of temporal mixing layer in shallow water with BGK algorithm. Journal of Hydro-environment Research 4 (2), pp.123-129. (10.1016/j.jher.2010.04.007)
- Liu, H. , Lam, M. Y. and Ghidaoui, M. S. 2010. A numerical study of temporal shallow mixing layers using BGK-based schemes. Computers and Mathematics with Applications 59 (7), pp.2393-2402. (10.1016/j.camwa.2009.08.046)
Ymchwil
Diddordeb ymchwil
modelu hydro-amgylcheddol; modelu deallusrwydd artiffisial (AI); Modelu llifogydd a gwacáu; Cynnwrf; Theori sefydlogrwydd hydrodynamig
Cymryd rhan mewn prosiectau ymchwil
| Teitl | Prif Ymchwilwyr(au) | Cyllidwr | Swm y Prosiect | Hyd |
| modelu AI gyda data i fyny samplu ar gyfer llynnoedd yn Nhwrci | Lam MY, Ahmadian R | CCAUC |
£39,863 |
01/04/2024- 31/03/2025 |
| Cynlluniau Amrediad TidAl fel cyfleusterau Grid-scale STorage Ynni (TARGET) ffurfweddadwy | Ahmadian R (Arweinydd y Prosiect a PI), Qadrda M, Yue Z, Munday M | EPSRC |
Cyfanswm: £1.4M CU: £732k |
01/01/2023-31/12/2024 |
| Canolfan Ragoriaeth Peirianneg Ynni Morol (MEECE) | Ahmadian R, Mason-Jones A., et al. | WEFO | £1.15M | 1/10/2021-31/05/2023 |
| Datblygu System Ymateb Trosiant | Ahmadian R | Academi Frenhinol Peirianneg | £19,019 | 01/04/2020- 28/02/2023 |
| Astudiaethau ar achosi trychinebau mecanweithiau a lleihau trychineb Mesurau gwrth-lifogydd trefol yn Tsieina a'r Deyrnas Unedig |
Ahmadian R, Falconer RA | Academi Frenhinol Peirianneg | £197,224 | 01/04/2018- 30/3/2022 |
| Cydnerthedd Llifogydd ar gyfer y Sector TRANsport (FR-TRANS) | Pregnolato M (Prifysgol Bryste) | Cronfa Generator GW4 | £19,988.05 | 01/06/2021-30/11/2021 |
| Hyrwyddo effeithlonrwydd adnoddau Nexus dŵr ynni drwy Ynni Adnewyddadwy ac Effeithlonrwydd Ynni (EERES4WATER) - Isbrosiect Prifysgol Caerdydd | Ahmadian R (Prifysgol Caerdydd, CU) | Ardal yr Iwerydd Interreg UE |
Cyfanswm: £2.69M CU: £283k |
01/04/2019 - 31/03/2022 |
| Systemau Cyflenwi Dŵr Trefol Smart | Ghidaoui M S (HKUST) | Cyngor Grant Resaerch Hong Kong | £3,074,911 | 01/01/2016 - 31/12/2021 |
Addysgu
Prifysgol Caerdydd:
- cyfrannwr modiwl, EN4571 - Dylunio Llifogydd (2023-nawr)
- cyfrannwr modiwl, EN2026 - Dadansoddi Peirianneg (2023-nawr)
- Cynorthwyo i oruchwylio myfyriwr Prosiect Blwyddyn Olaf Israddedig mewn Deallusrwydd Artiffisial (2020-2021)
Prifysgol Hong Kong Gwyddoniaeth a Thechnoleg:
- Cynorthwyo i oruchwylio dros bum myfyriwr Prosiect Blwyddyn Olaf Israddedig mewn Transients Pipe a Open Channel Flows
- Cynorthwy-ydd Addysgu mewn cyrsiau Meistr ac Israddedigion a addysgir mewn Mecaneg Hylif a Hydroleg
Bywgraffiad
Profiad
2023-now: Darlithydd - addysgu ac ymchwil, Prifysgol Caerdydd
2019-2023: Cydymaith Ymchwil, Prifysgol Caerdydd
2016-2019: Cydymaith Ymchwil, HKUST
2015-2016: Reserach Cyswllt, Prifysgol Polytechnig HK
2007-2015: Cynorthwyydd addysgu ar gyfer nifer o gyrsiau Mecaneg a Hydroleg Hylif yn HKUST
Addysg
2015: PhD mewn Peirianneg Sifil a Pherfeithiol, Prifysgol Hong Kong Gwyddoniaeth a Thechnoleg (HKUST)
2007: BEng mewn Peirianneg Sifil a Strwythurol, HKUST
Contact Details
[email protected]
Adeiladau'r Frenhines -Adeilad y De, Ystafell S0.08, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Adeiladau'r Frenhines -Adeilad y De, Ystafell S0.08, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA