F.O. (Francisco) Garrido Valenzuela
F.O. (Francisco) Garrido Valenzuela
Profiel
Biografie
Ik ben een Chileense promovendus bij CityAI Lab, faculteiten TPM & CEG. Ik werk bij de afdeling Engineering Systems and Services, sectie Transport & Logistiek. Mijn achtergrond ligt op het gebied van transporttechniek. Ik heb mijn B.Sc. en M.Sc. behaald aan de Pontificia Universidad Católica de Chile (PUC), waarbij ik me richtte op het voorspellen van routes die gebruikers in stedelijke context kiezen met behulp van Bluetooth-technologieën. Voordat ik aan mijn promotie begon, werkte ik als adjunct-instructeur bij de afdeling Computerwetenschappen van PUC en als onderzoeker bij een onderzoekscentrum dat modellen ontwikkelde om landgebruik te voorspellen op basis van toegankelijkheid.
Onderzoeksinteresses
My current interest is in interdisciplinary AI research, taking advantage of new data sources and AI models (e.g., computer vision, NLP) to better understand our cities. My Ph.D. research focuses on improve the current understanding of cities through visual stimuli and human perceptions. I am actively working with computer vision models and latent representation models to support urban planners designing neighborhoods and cities.
Academische achtergrond
I am a Chilean Ph.D. candidate at CiTyAI Lab of TPM & CEG faculties. I am in the Department of Engineering Systems and Services, section Transport & Logistic. I have a transportation engineering background. I got my B.Sc. and M.Sc. in Pontificia Universidad Católica de Chile (PUC), on predicting routes chosen by users in urban context using Bluetooth technologies. Before starting my Ph.D., I had been working as adjunct instructor at PUC in Computer Science Department and as Researcher at a Research Centre developing models to predict land uses based on accessibilities.
Publicaties
-
2025
Computer vision-enriched discrete choice models, with an application to residential location choice
Sander van Cranenburgh / Francisco Garrido-Valenzuela
-
2023
Where are the people? Counting people in millions of street-level images to explore associations between people's urban density and urban characteristics
Francisco Garrido-Valenzuela / Oded Cats / Sander van Cranenburgh
-
2022
Identifying and visualizing operational bottlenecks and Quick win opportunities for improving bus performance in public transport systems
F.O. Garrido Valenzuela / Diego Cruz / Marina Dragicevic / Alejandro Schmidt / Jaime Moya / Sebastián Tamblay / Juan C. Herrera / Juan C. Muñoz
-
2020
Bayesian Route Choice Inference to Address Missed Bluetooth Detections
F.O. Garrido Valenzuela / Sebastián Raveau / Juan C. Herrera
-