Personal profile

Research

Amir Naghibi is an Assistant Professor in the division of Water Resources Engineering, Faculty of Engineering, Lund University.

He has broad research interests in hydrology, climate change impact modeling, watershed modeling, surface and groundwater interactions modeling, natural hazards modeling, remote sensing hydrology, and artificial intelligence.

He develops AI-based decision support systems on water, agriculture, environment, and natural hazards in order to facilitate decision-making procedure with a transboundary, international, and systematic mindset at national, continental, and global scales.

He is the theme leader of LTH profile area WATER, i.e., WATCH the water.

Currently, he is involved in several projects in Sweden, Europe, and the Middle East funded by Formas, European Commission, and MECW strategic research area at Lund University.

 

Teaching

He currently teaches:
- Machine Learning for Water Engineers
- Hydromechanics
- Water, Society, and Climate Change

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 6 - Clean Water and Sanitation
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

UKÄ subject classification

  • Water Engineering

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Collaborations the last five years

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