Dr. Anil Kumar Chilakapati

Indoor Navigation, Spatial Cognition, Indoor Environment certainty assessment tools and algorithms, Influence of built environment on commuters' behaviours.

Indoor Spatial coding, Machine learning regression model, Spatial Cells and Spatial-Temporal Ecosystem Models.

Evidence-based research and assessment model for Indoor architectural transit spaces, a case of Vijayawada Railway station scenario.

"The study has given importance to tracking the passengers of their natural behaviour movements. On the basis of the results and their validation, the findings and inferences have been widely discussed from both the quantitative and qualitative research and proposed a conceptual model for “efficient navigation for the spatial-temporal ecosystem” of indoor architectural spaces. The developed certainty model and methods in this research can be used to evaluate the indoor environment designs to test the certainty and uncertainty qualities of the spaces and render the validation aspects before going for the execution of the projects. "