Peer review Publications
2023
Saldana, C. S., Burkhardt, E., Pennisi, A., Oliver, K., Olmstead, J., Holland, D. P., ... & Saldana Ochoa, K. 2897. Development of a Machine Learning Modelling Tool for Predicting Incident HIV Using Public Health Data from a County in the Southern United States. In Open Forum Infectious Diseases (Vol. 10, No. Supplement_2, pp. ofad500-168). US: Oxford University Press.Source: AIDSVu.2023
emphasis: An AI Model to predict HIV incidence
2023
Saldana Ochoa K.; Huang L.; Guo Z.; Bokhari A. Playing Dimensions: Images / Models / Maps Conceptualizing Architecture with Big Data and Artificial Intelligence. ACADIA 2024 Habits of the Anthropocene. 2023
emphasis: An AI framework for architectural design
2023
Trapold E.; Saldana Ochoa K. Deriving Architectural Inspiration from Big Data. UF Journal of Undergraduate Research. 2023
emphasis: exploration with AI algorithms to extract information from Bigdata for architectural design
2022
Guo Z., Saldana Ochoa K., D’Acunto PL., Enhancing structural form-finding through a text-based AI engine coupled with computational graphic statics. International Association for Shell and Spatial Structures (IASS) and Asian-Pacific Conference on Shell and Spatial Structures (APCS). 2022
emphasis: An AI algorithm to generate structural 3D forms from descriptive text
2022
Browarska M. and Saldana Ochoa K., An AI unsupervised clustering of airports; A tool to find suitable humanitarian cooperation for disaster preparedness. Conference: 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22). 2022
emphasis: AI unsupervised clustering for airport collaboration.
2022
Saldana Ochoa K., Huang L., AI as an active tool for creativity and exploration in architectural design pedagogy. Design Communication Association (DCA) International Conference. 2022
emphasis: Artificial Intelligence applied in a design studio
2022
Browarska M. and Saldana Ochoa K., Working towards an AI-based clustering of airports, in the effort of improving humanitarian disaster preparedness. Computing Conference 2022
emphasis: AI for airport preparedness
2021
Saldana Ochoa K., Creating A Coefficient of Change in the Built Environment After a Natural Disaster. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Third Workshop on AI for Humanitarian Assistance and Disaster Response, Sydney, Australia, 2021
emphasis: Damage assessment with a deep learning workflow.
2021
Saldana Ochoa K. and Comes T. A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing shelter needs. ACM SIGKDD Conference on knowledge discovery and Data Mining, Workshop on Data-driven Humanitarian Mapping, 2021
emphasis: Machine learning for shelter needs assessment.
2020
Saldana Ochoa K., Ohlbrock O, D’Acunto PL, Moosavi V., Beyond typologies, beyond optimization. International Journal of Architectural Computing, 2020.
emphasis: A design framework at the junction of human and machine intelligence.
2020
Saldana Ochoa K., Enhancing Disaster Response with Architectonic Capabilities by Leveraging Machine and Human Intelligence Interplay. 31st European Safety and Reliability Conference, 2020
emphasis: Joining, clustering and prioritizing; two narratives of disaster response, to have an informed decision making.
2019
Alvarez-Marin D., Saldana Ochoa K., Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data. ARXIV, 2019.
emphasis: To portray personal views of the city or “Cities of Indexes.”
2019
Ballari D., Saldana Ochoa K., Hermida C, Segovia C, Mory A. , Vélez-Calvo X., Berrones G. , Aguirre Ullauri M. , Saldaña Ochoa K., Mujer, Madre y Científica: una diversidad de escenarios. II Seminario Internacional de las Mujeres en la Ciencia, Género y Conocimiento, 2019
emphasis: Stories of women on sciense.
2019
Saldana Ochoa K., Guo Z. Framework for planning, harvesting, and management of resources in agriculture with an automated tree localization/classification and street detection from Aerial Imagery. Computers and Electronics in Agriculture, 2019.
emphasis: Object localization for food security.