Krishna leads the development of new spatial analysis workflows by bringing together methods from the domains of machine learning, computer vision and spatial data science. He received his Ph.D. in Environmental Planning from UC Berkeley.
Teja specialises in applying spatial data science techniques to analyse urban morphology, measure spatial inequalities, and assess climate and disaster risk. He received his M.Sc. in Geo-Information Science & Earth Observation from University of Twente (ITC).
Pratyush focuses on developing new methods for spatial analysis using spatial data science, machine learning and econometrics. Pratyush is currently a Ph.D. student in Geography at UC Santa Barbara. His doctoral research investigates the impact of extreme weather events on development outcomes in India.
Krishna Kumar's work focuses on applying machine learning, computer vision, and image processing methods in geospatial analysis. He received his Ph.D. in Computer Science from NIT - Karnataka.
Gautami has a background in urban planning and geoinformatics and leads the development of automated workflows for urban, regional and global scale analytics. She received her M Tech in Remote Sensing and GIS from Indian Institute of Remote Sensing.
Kasturi, a geographer with geo-informatics training, is responsible for managing data pipelines and developing large scale data analytics workflows. She received her M Sc in Geoinformatics from Symbiosis International University.
With a background in Computer Science and Geoinformatics, Nidhin specializes in developing new remote sensing workflows using active and passive remote sensing data for flood mapping, crop monitoring, and land change dynamics. He received his M Sc in Computer Science from Indian Institute of Information Technology and Management.
Our team is widely published in international peer reviewed journals and our previous work has been supported by UK Research and Innovation, Microsoft, Google, Amazon Web Services and the Group on Earth Observations.
The core team at MapSolve AI consists of researchers trained in fields ranging from computer science to statistics, geoinformatics and environmental planning from leading universities across US, Europe and India including UC Berkeley, UC Santa Barbara, University of Twente, NIT-Karnataka, and Indian Institute of Remote Sensing.
If you find our work exciting and think you would be a good fit for our team, write to us at info@mapsolve.ai
