ZAGAL FLORES, ROBERTO ESWART
CIENCIAS TECNOLÓGICAS · Nivel 1
I am passionate about interdisciplinary research in Geospatial Data Science and regional urban phenomena. I am the founder and head...
I am passionate about interdisciplinary research in Geospatial Data Science and regional urban phenomena. I am the founder and head of the Urban Data Laboratory (UrbanDataLab) at the School of Computer Science of the Instituto Politécnico Nacional (ESCOM-IPN), a research group dedicated to studying urban problems through Urban Artificial Intelligence systems, urban sensing technologies, and Geographic Information Systems (GIS). I conduct my research in collaboration with renowned international scholars, including Dr. Christophe Claramunt. I am also a Level-1 Member of the Mexican National System of Researchers (SNII) and a professor at ESCOM-IPN.
My research areas include applications of Urban AI, Big Data, data integration, and regional analysis of issues such as crime, migration, air quality, walkability and urban infrastructure, and urban conflicts.
I have served as a Software Designer in projects for the Mexican Government and major IT companies for five years. I have developed projects in Data Science, Big Data, Machine Learning, GIS, web applications, and data architecture for the Mexican Government, Honeywell Mexico, Motorola Mexico, and the electronic invoicing industry.
I hold a Ph.D. in Advanced Technology, a Master’s degree in Computer Science, and a Bachelor’s degree in Systems Engineering from the Instituto Politécnico Nacional.
Website: urbandatalab.escom.ipn.mx
ORCID: https://orcid.org/0000-0001-5649-6189
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| Nombre | ROBERTO ESWART ZAGAL FLORES |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | CIENCIAS TECNOLÓGICAS |
| Disciplina | COMPUTACIÓN |
| Especialidad | SISTEMAS COMPUTACIONALES |
| CVU | 209313 |
| Institución | |
|---|---|
| Tipo de institución | Pública |
| Dependencia | UNIDADES ACADEMICAS DE NIVEL SUPERIOR |
| Entidad | CIUDAD DE MEXICO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2026 |
| Fin: 31/12/2030 |
Evolución en el SNII
- Candidato: 2022–2025
- Nivel I: 2026
Últimas publicaciones Scopus
- 2026
- Geospatial Analysis for Sustainable Urban Planning: Mapping Crime Dynamics in Mexico City During the COVID-19 Pandemic Geographies · Vol. 6 Article
- Solving bi-objective real-world set-covering problems Gecco 2026 Companion Proceedings of the 2026 Genetic and Evolutionary Computation Conference Conference Paper
- Digital and Remote Interventions for Musculoskeletal Aging: Real-Time Muscle Strain Severity Detection Using Artificial Intelligence Biosensors · Vol. 16 Article
- A Genomics-Guided Multimodal Contrastive Learning Framework for Clinically Significant Prostate Cancer Risk Stratification with Missing Clinical Data Cancers · Vol. 18 Article
- Prototype Development of an IoT System for Data-Driven Sanitary Supply Monitoring Communications in Computer and Information Science · Vol. 2705 CCIS Conference Paper