Sustainable Design
& Technology
I am a Researcher at MIT Urban Risk Lab and also pursuing a Bachelors degree focusing on architecture in India.
My main research interest lies in synthesizing technology and design, with my work focusing on data-driven design workflows in both urban and
architectural scales.
I have been working with computational design, machine learning, deep learning, data science, and synthetic data generation to design better and more
sustainable future cities. I have research papers & abstracts published in global conferences like
Projects
Workshops
Publications
Peer reviewed Conference Papers
- Deshpande, R., Patel, S., Weijenberg, C., Nisztuk, M., Corcuera, M., Luo, J., Zhu, M., 2023, Generative Pre-Trained Transformers for 15-Minute City Design, CAADRIA 2023: Human-Centric Pre-Print Papers
- Deshpande, R., Nisztuk, M., Cheng, C., Subramanian, R., Chavan, T., Weijenberg, C., Patel, S.V., 2022, Synthetic Machine Learning for Real-time Architectural Daylighting Prediction, CAADRIA 2022: Post-Carbon https://doi.org/10.52842/conf.caadria.2022.1.313
- Cheng, C., Li, Y., Deshpande, R., Antonio, R., Chavan, T., Nisztuk, M., Subramanian, R., Weijenberg, C., Patel, S.V., 2022, Realtime Urban Insights for Bottom-up 15-minute City Design, CAADRIA 2022: Post-Carbon https://doi.org/10.52842/conf.caadria.2022.1.435
Accepted Abstracts
- Nisztuk, M., Subramanian, R., Fathis, Z., Deshpande, R., Chavan, T., Weijenberg, C., Patel, S., 2023, Synthetic Machine Learning for Real-Time 3D CFD Prediction., Design Modelling Symposium'22. (link)
- Subramanian, R., Nisztuk, M., Patel, S., and Deshpande, R., 2022, Machine Creation for Architectural Design, Design Computing and Cognition’22.