Publications
Newton, David. “Identifying Correlations Between Depression and Urban Morphology through Generative Deep Learning.” International Journal of Architectural Computing, (May 2022). https://doi.org/10.1177/14780771221089885
Newton, David. “Chapter 7: Deep Learning in Urban Analysis for Health.” in Artificial Intelligence in Urban Planning and Design, edited by Imdat As and Prithwish Basu, 121-137. Amsterdam: Elsevier, 2022.
Newton, David. 2021. "Visualizing Deep Learning Models for Urban Health Analysis." In Proceedings of the 39th Annual Education and Research in Computer Aided Architectural Design in Europe (eCAADe) Conference: Towards a New Configurable Architecture, Faculty of Technical Sciences, Novi Sad, Serbia, September 8-10, 2021, Volume 1 527-536.
Richards-Rissetto, Heather, David Newton, and Aziza Al Zadjali. 2021. "A 3D Point Cloud Deep Learning Approach Using Lidar to Identify Ancient Maya Archaeological Sites." ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.,VIII-M-1(2021):133-139. doi: 10.5194/isprs-annals-VIII-M-1-2021-133-2021.
Newton, David. “Chapter 14: Dynamic and Explorative Optimization for Architectural Design.” in Routledge Companion to AI and Architecture, edited by Imdat As and Prithwish Basu, 280-300. Amsterdam: Elsevier, 2021.
Newton, David William. 2020. "Anxious Landscapes: Correlating the Built Environment with Mental Health through Deep Learning." In Proceedings of the 40th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA): Distributed Proximities, Virtual Conference, October 24-30, 2020, 130-139. Delaware: ACADIA.
Newton, David, Dan Piatkowski, Wes Marshall, and Atharva Tendle. 2020. "Deep Learning Methods for Urban Analysis and Health Estimation of Obesity." In Proceedings of the 38th Annual Education and Research in Computer Aided Architectural Design in Europe (eCAADe) Conference: Anthropologic - Architecture and Fabrication in the Cognitive Age, Technische Universitt, Belin, Germany, September 15-17, 2020, Volume 2 297-304. Berlin: eCAADe.
Newton, David. "Generative Deep Learning in Architectural Design." Technology | Architecture + Design, 3(2) (2019):176-189. https://doi.org/10.1080/24751448.2019.1640536.
Newton, David William. 2019. "Deep Generative Learning for the Generation and Analysis of Architectural Plans with Small Datasets." In Proceedings of the 37th Annual Education and Research in Computer Aided Architectural Design in Europe (eCAADe) Conference: Architecture in the age of the 4th Industrial Revolution, University of Porto, Porto, Portugal, September 11-13, 2019, Volume 2 21-28. Porto: eCAADe, SIGraDi, FAUP.
Newton, David William. 2018. "Multi-Objective Qualitative Optimization (MOQO) in Architectural Design." In Proceedings of the 36th Annual Education and Research in Computer Aided Architectural Design in Europe (eCAADe) Conference: Computing for a better tomorrow, Lodz University of Technology, Lodz, Poland, September 17-21, 2018,Volume 2 187-196. Lodz: eCAADe, Lodz University of Technology.
Newton, David William. 2018. “Accommodating Change and Open-Ended Search in Design Optimization: Dynamic Interactive Multi-Objective Evolutionary Algorithms for Architectural Design.” In Proceedings of the 33rd Annual Computer-Aided Architectural Design Research in Asia (CAADRIA) Conference: Learning, Prototyping, and Adapting, Tsinghua University, Beijing, China, May 17-19, 2018, Volume 2 175-184. Hong Kong: CAADRIA.
Newton, David William. "Balancing Act: Techniques and Technologies for Managing Multiple-Objective Problems in a Comprehensive Studio Context." Play with the Rules: Proceedings of the Association of Collegiate Schools of Architecture (ACSA) Fall Conference. 2018. Print.