User:Hasnat: Difference between revisions
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|Country member=Pakistan | |Country member=Pakistan | ||
|Confirm email member=hhasnat44868@gmail.com | |Confirm email member=hhasnat44868@gmail.com | ||
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group | |Cell phone member=00923228083867 | ||
|Working group member=Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative | |||
|Emaillist group member=yes | |Emaillist group member=yes | ||
|Description of your CSDMS-related interests member=Hydrological modelling for flood simulation and management | |Description of your CSDMS-related interests member=Hydrological and Hydraulic modelling for flood simulation and management and Machine learning to improve model predictions | ||
|Memberagreement=I have read and agree to the Privacy Policy | |||
}} | }} |
Revision as of 08:42, 28 February 2020
Hasnat Aslam, website username login: Hasnat
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Member of the following CSDMS groups
- Terrestrial Working Group
- Coastal Working Group
- Education and Knowledge Transfer (EKT) Working Group
- Cyberinformatics and Numerics Working Group
- Hydrology Focus Research Group
- Chesapeake Focus Research Group
- Critical Zone Focus Research Group
- Geodynamics Focus Research Group
- Ecosystem Dynamics Focus Research Group
- Artificial Intelligence & Machine Learning Initiative
- Modeling Platform Interoperability Initiative
Signed up for the mailing list: yes
Hydrological and Hydraulic modelling for flood simulation and management and Machine learning to improve model predictions