Sai Kulkarni
I am a doctoral researcher in the Department of Geography and Environment, focusing on wind hazard estimation, using video clips of trees to improve risk mitigation. I am employing machine vision techniques to track tree movement in response to extreme winds.
This research is crucial as demand grows for understanding of wind behaviour, especially in urban areas with varied terrain and buildings affecting wind patterns. Traditional methods tend to provide sparser data highlighting the need to capture localised variations for accurate assessment and mitigation of wind-related risks. And that is where my research steps in!
Before coming to º¬Ðß²ÝÊÓƵ for PhD, I did my bachelor's in Environmental Science from Pune, India. Then I moved to the UK and completed my master's degree in Applied Meteorology and Climate with Management. Growing up in India, I have seen severe impacts of climate change, including shifting monsoon patterns and mega-cities rapidly turning into heat islands, which motivated me to pursue a career in weather research.
The laptop I am holding represents my work in the analysis of atmospheric data through machine learning and applications.