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Samer Muhandes
Institution:
Autodesk (United States)
Observed institutions:
University of London,
Autodesk (United States),
Imperial College London
ORCID:
0000-0003-4028-5461
Observed ORCID:
0000-0003-4028-5461
OpenAlex ID:
A5058146853
A Reduced Complexity Model With Graph Partitioning for Rapid Hydraulic Assessment of Sewer Networks
2021
·
Barnaby Dobson
, Hannah Watson-Hill
, et al.
·
Water Resources Research
·
20
PDF
The Value of Aggregated City Scale Models to Rapidly Assess SuDS in Combined Sewer Systems
2022
·
Samer Muhandes
, Barnaby Dobson
, et al.
·
Frontiers in Water
·
7
PDF
A method for adjusting design storm peakedness to reduce bias in hydraulic simulations
2021
·
Samer Muhandes
, Barnaby Dobson
, et al.
·
Proceedings of the Institution of Civil Engineers - Water Management
·
3
Revolutionizing Flood and CSO Management with Advanced Machine Learning Surrogate Models
2025
·
Siavash Hakim Elahi
, Sam Jamieson
, et al.
·
World Environmental and Water Resources Congress (EWRI)
Clustering networks: reducing the complexity of urban hydrology models with graph partitioning for fast and flexible simulations
2022
·
Barnaby Dobson
, Samer Muhandes
, et al.
·
EGU General Assembly Conference Abstracts
A method for adjusting design stormpeakedness to reduce biasin hydraulic simulations
2022
·
Samer Muhandes
, Barnaby Dobson
, et al.
·
EGU General Assembly Conference Abstracts
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Works count:
6
Citation count:
30
H-index:
3
I10-index:
1
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