Machine learning

In this interview, Shagun Garg, a Doctoral Researcher at the University of Cambridge, shares his journey working at the intersection of water and space technologies. From early experiences with groundwater-related land subsidence in Delhi to improving flood detection methods, his work highlights the advantages and limitations of satellite data in tackling real-world water challenges. Shagun discusses how nature-based solutions, remote sensing, and machine learning come together in his current research to support more sustainable water management. He also reflects on the importance of inclusive approaches that don’t leave out regions or people due to technical constraints. Throughout, he emphasises curiosity, collaboration, and the value of noticing what others might overlook.

This interview presents Mr. Kanito’s journey and passion for advancing sustainable water management under the twin pressures of climate change and human activity. He emphasizes the power of integrating observation data, space technologies, and machine learning for groundwater modelling. His vision is to equip communities with the knowledge and tools to manage water resources sustainably, ensuring a healthier, more resilient future for all.

In the interview, Hafsa Aeman discusses her passion for integrating water resource management with space technologies. She uses remote sensing and AI to tackle challenges like seawater intrusion and coastal erosion, focusing on vulnerable coastal ecosystems. By leveraging satellite data, her work provides critical insights for sustainable water management, crucial for communities impacted by climate change. Ms Aeman highlights the significant role of space technology in water management, especially through remote sensing, which helps monitor precipitation, soil moisture, and groundwater levels. Her proudest achievement is a publication on seawater intrusion, recognized for its innovative use of AI and remote sensing, contributing to Pakistan’s Living Indus initiative. At the International Water Management Institute (IWMI), Hafsa’s research integrates AI and remote sensing to optimize water and irrigation management systems. She emphasizes the importance of addressing seawater intrusion, which poses threats to agriculture, ecosystems, and global food security. She also underscores the role of community engagement in sustainable water management through capacity-building workshops for farmers, promoting smarter irrigation practices. She advocates for leadership opportunities for young scientists and believes AI can revolutionize water management by enabling more accurate and efficient data analysis. Rain, symbolizing renewal and sustenance, is her favorite aggregate state of water.

This interview presents Mr. Kanito’s journey and passion for advancing sustainable water management under the twin pressures of climate change and human activity. He emphasizes the power of integrating observation data, space technologies, and machine learning for groundwater modelling. His vision is to equip communities with the knowledge and tools to manage water resources sustainably, ensuring a healthier, more resilient future for all.

In the interview, Hafsa Aeman discusses her passion for integrating water resource management with space technologies. She uses remote sensing and AI to tackle challenges like seawater intrusion and coastal erosion, focusing on vulnerable coastal ecosystems. By leveraging satellite data, her work provides critical insights for sustainable water management, crucial for communities impacted by climate change. Ms Aeman highlights the significant role of space technology in water management, especially through remote sensing, which helps monitor precipitation, soil moisture, and groundwater levels. Her proudest achievement is a publication on seawater intrusion, recognized for its innovative use of AI and remote sensing, contributing to Pakistan’s Living Indus initiative. At the International Water Management Institute (IWMI), Hafsa’s research integrates AI and remote sensing to optimize water and irrigation management systems. She emphasizes the importance of addressing seawater intrusion, which poses threats to agriculture, ecosystems, and global food security. She also underscores the role of community engagement in sustainable water management through capacity-building workshops for farmers, promoting smarter irrigation practices. She advocates for leadership opportunities for young scientists and believes AI can revolutionize water management by enabling more accurate and efficient data analysis. Rain, symbolizing renewal and sustenance, is her favorite aggregate state of water.

In this interview, Shagun Garg, a Doctoral Researcher at the University of Cambridge, shares his journey working at the intersection of water and space technologies. From early experiences with groundwater-related land subsidence in Delhi to improving flood detection methods, his work highlights the advantages and limitations of satellite data in tackling real-world water challenges. Shagun discusses how nature-based solutions, remote sensing, and machine learning come together in his current research to support more sustainable water management. He also reflects on the importance of inclusive approaches that don’t leave out regions or people due to technical constraints. Throughout, he emphasises curiosity, collaboration, and the value of noticing what others might overlook.