This project explores the integration of mobile platforms to enhance community participation in smart cities. It proposes a scalable, data-driven model for inclusive urban governance through participatory technologies.
Publication: Parlewar, P. (2021). Applying mobile-based community participation model in smart cities. In Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Studies in Computational Intelligence, Springer.

A practical presentation of how AI-integrated GIS platforms can enhance transport modeling and spatial planning across Indian cities.
Presentation: Parlewar, P. (2022, November 7). Artificial Intelligence infused GIS in urban and transport planning. ITPI West Zone Conference, Maharashtra.

This project emphasizes AI’s potential in building resilience through urban system monitoring, early warning systems, and adaptive infrastructure.
Presentation: Parlewar, P. (2025). Artificial Intelligence in urban system management and resilience building. Roorkee Urban Symposium 2025, IIT Roorkee.

The project applies geospatial AI to model how users mentally perceive and navigate cities, enhancing cognitive mapping in urban design.
Presentation: Parlewar, P. (2024). Geospatial AI for cognitive mapping of image of city. Spatial Data Lab, Harvard University.

This webinar presents OpenAI applications for reimagining visual and symbolic dimensions of urban spaces.
Presentation: Parlewar, P. (2025, February 12). Application of OpenAI for regenerating 'Image of City'. Webinars on Spatiotemporal Innovation, Harvard University.

The project models urban expansion in hilly terrains using a GIS-integrated Artificial Neural Network (ANN).
Publication: Thakur, K., & Parlewar, P. (2025). Application of GIS ANN model for urban sprawl management of Shimla. SUSS Conference on Sustainable Development and Innovation, Singapore.

This work presents a novel model using platform capitalism principles to optimize land management in smart cities, linking digital governance with urban development policy.
Publication: Parlewar, P. (2024, July). Platform capitalism based land management model for smart cities. International Symposium on Spatiotemporal Data Science, Virginia Tech & George Mason University.

This work showcases AI applications for sustainable building design, encouraging architecture schools to integrate AI into green design practices.
Presentation: Parlewar, P. (n.d.). Artificial Intelligence for sustainable architecture. Council of Architecture FDP, MBS School of Planning & Architecture, New Delhi.

A presentation encouraging architectural institutions to incorporate AI tools in planning pedagogy for future-ready professionals.
Presentation: Parlewar, P. (2025, January 7). Artificial Intelligence in urban planning. COA FDP, DBHCOA, New Delhi.

A journal manuscript expanding on earlier conference findings, exploring urban land markets and governance through platform logic.
Publication: Parlewar, P., Platform capitalism based land management model for smart cities. Journal of Urban Informatics, Springer Nature

A study on how AI can improve personalized learning and institutional management within education systems.
Publication: Parlewar, P. (Under Review). Application of Artificial Intelligence in education. Journal of Artificial Intelligence in Education.

This study uses spatio-temporal data to assess the energy-saving potential of urban green spaces in Indian cities.
Publication: Shirsagar, A., & Parlewar, P. (2024). Spatio-temporal analysis of green spaces for energy conservation: Case study of Pune. IIT Guwahati Conference on Energy Transitions.

The project investigates how OpenAI tools can regenerate the perceptual identity of cities, drawing from Kevin Lynch’s theory of imageability, with implications for urban design.
Presentation: Parlewar, P. (2025). Application of OpenAI for regenerating imageability of cities. Young Scholar Symposium on Spatiotemporal Data Science, Spatial Data Lab, Harvard University.

This project explores how AI can support campus design by learning and applying pattern languages for spatial redevelopment.
Publication: Parlewar, P. (2024, December 22). OpenAI and pattern language: Redevelopment of university campus in Delhi. 20th CPIJ International Conference, Okayama University, Japan.

This research focuses on using AI to assess and rehabilitate infrastructure affected by vibrations and dynamic loads.
Publication: Parlewar, P. (Under Review). Application of Artificial Intelligence in rehabilitation of infrastructure affected by vibrations. Journal of Artificial Intelligence in Civil Engineering.

An applied project discussing AI-enabled planning approaches tailored for sensitive Himalayan urban regions.
Presentation: Parlewar, P. (2025). Artificial Intelligence for smart cities. Urban Planning Capabilities & Connectivity Conference, Dehradun, Uttarakhand.

This paper proposes a hybrid AI-GIS approach to optimize public transportation systems in Indian smart cities.
Publication: Parlewar, M., & Parlewar, P. (2023). AI GIS based public transportation model for smart cities. Journal of Institute of Town Planners, India.

A forward-looking discussion on the policy and legal challenges involved in building AI-governed urban systems.
Presentation: Makwana, S., & Parlewar, P. (2025). Legal framework for AI-driven cities. 9th International Conference on Urban e-Planning, Lisbon, Portugal.