Ravi Kumar Pandey is a PhD candidate in Energy, Environment, and Atmospheric Sciences, working at the intersection of urban climate, geospatial analytics, and data-driven spatial planning. His research focuses on modeling the relationships between urban form, thermal environments, and air quality to support climate-resilient and human-centered cities.
He develops high-resolution urban climate models by integrating Earth Observation data, GIS, and machine learning. His work combines satellite datasets, field measurements, and simulation approaches to analyze microclimate dynamics, identify urban hotspots, and evaluate adaptation strategies.
Ravi is the founder of CityAI, an initiative focused on advancing geospatial intelligence, spatial data infrastructure, and research-driven urban analytics. His professional experience includes working as a GIS Application Specialist at the Indian Institute of Remote Sensing under Indian Space Research Organisation, as well as leading and coordinating GIS-based urban development projects across multiple cities in India.
He holds a joint Master’s degree as an Erasmus+ scholar from the University of Salzburg in Austria and Palacký University Olomouc in Czechia. He completed his graduate research in Geoinformatics through a collaboration between ITC at the University of Twente and IIRS-ISRO. He earned his Bachelor’s degree in Planning from the School of Planning and Architecture in Bhopal.
His work aims to bridge geospatial data science and urban planning practice, enabling scalable, evidence-based solutions for climate adaptation and sustainable urban systems.
An Expertise
Urban Planner │ Geospatial Scientist │ Artificial Intelligence in Urban Development │ ML │ DL │ GIS Expert
Fusion of spatial development with AI
In today’s rapidly evolving world, no company can afford to sit on its laurels. The steady cascade of innovation compels leaders across industries to question their ways of working, and real estate is no exception. Technological advances, demographic shifts, and new business models all require developers and property management companies to reassess their approaches to serving customers and society at large.
Geospatial First
Everything happens somewhere. Our focus on geospatial enables us to see patterns which are difficult using traditional data analytics and visualization.