Gaurangi Anand

Ever since I began my research career, Machine Learning has become my primary area of interest. The significance of 'learning' in research has inspired me to propose practical, efficient, and scalable solutions to real-world data-heavy problems. The ubiquity of IoT and connected devices, sensor-equipped infrastructure and autonomous agents, wearable sensor devices, and the advancement of communication technology have led to the generation of massive volumes of temporal datasets. I find it interesting to come up with novel and unconventional ways to represent and analyze such data, eventually leading to state-of-the-art algorithms. From temporal and spatial data to graph structured data, I have been aiming for versatility in my research. My current research is exploring Graph Neural networks for structured data applied to environmental use cases.