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AIMES - Crossing Borders with Amlan Chakrabarti

Machine Learning for Waterinformatics

Time: Fri 2022-09-16 12.30 - 13.30

Location: Biomedicum room B0317 (KI Campus Solna, Solnavägen 9) & via Zoom

Lecturer: Amlan Chakrabarti, Calcutta University, India

Host

Susanne Löffler
AIMES @ KI & KTH

We are happy to welcome Amlan Chakrabarti to give a hybrid talk with the following abstract:

Over the past few years, there have been significant developments in modelling tools and applied methodologies for the examination of water science challenges. The Internet of Things (IoT), smart water management, and machine learning algorithms are a few of the intelligence-based technologies that are used to solve difficult hydrological and water resources engineering problems. Traditional approaches typically fall short of producing results that can be trusted because of the complexity and non-linearity of the behaviour of water resources engineering problems. On the other hand, informatics-based approaches, when combined with a thorough understanding of the physics of the problem, tend to provide a more trustworthy tool.

Registration

Register at survey.ki.se/Survey/31757
Register for both on site and online attendance.
For online participants, we will send you the meeting ID for Zoom via email.

Coffee will be served in B0317 to registered participants after the seminar. 

Webbadress for more information

survey.ki.se/Survey/31757

Contact

Linda Thörn

Linda.Thorn@ki.se

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Last changed: Sep 15, 2022