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Avipsa was born in Kolkata, India. She has lived and worked in a number of different cities like Bangalore (India), Muenster, Stuttgart (Germany) before moving to Tempe. Her research focuses on applying machine learning techniques to solve a number of spatial-temporal problems - identifying trends in active transportation (eg: bicycling) patterns in urban areas from crowdsourced data, understanding movement behavior in terrestrial animals (grizzly bears) and performing image segmentation by integrating multiple sensor modalities (LiDAR, Thermal Imagery) for terrestrial object detection. In her spare time she likes to travel, read and learn about different regional cultures across the world. She is also interested in photography, music and dance.
PhD Geography (Computational Spatial Science), Arizona State University (Fall 2017 onwards)
MS in Geoinformatics, University of Muenster, Germany (2017)
BS in Computer Science, University of Calcutta, India (2010)
Avipsa's research interest lies in analysing big geospatial datasets using machine learning techniques from an interdisciplinary aspect. She is exploring the realm of applynig machine learning algorithms to spatial datasets using open source statistical software to answer questions relating to active transportation, movement patterns and environmental health. Currently Avipsa is working with Dr. Trisalyn Nelson in the SPARC Lab and exploring research questions in a similar direction.
Spatial Analysis and Research Center (SPARC)