Felipe de J. Castro Hernández
Geospatial AI researcher and geointelligence manager
Mexico City, Mexico
Summary
Applies geospatial artificial intelligence and machine learning to optimize distribution networks and support strategic expansion decisions in industry settings. theorg+1
Academic researcher and educator focused on geosimulation, GIS, spatial optimization and data science, with publications and teaching roles documenting work on agent-based dynamic models for traffic accident prevention. org+2
Long career bridging industry and academia, including leadership in logistics solutions and sustained roles as a profesor investigador at multiple Mexican universities. rocketreach+1
Active in technical communities and tooling (e.g., gvSIG user/developer mailing lists), indicating hands-on experience with geospatial software scripting and development. gva+1
Recognized for contributions to logistical innovation and geospatial applications in Mexico through industry-facing roles and mentions in professional summaries. theorg
Work
Education
Writing
La geosimulacif3n, una herramienta para la prevencif3n de los accidentes de tre1nsito
January 1, 2018Presents a dynamic, agent-based geosimulation model to represent and analyze traffic accidents; compares dynamic geosimulation to static GIS and neural network approaches and reports that dynamic models better approximate real accident counts for a case study on Avenida Insurgentes Norte.
Doctoral thesis (UNAM) — geosimulation and related work
January 1, 2017Doctoral thesis submitted to UNAM for the degree of Doctorado en Geografeda; documents research in geosimulation, spatial optimization and GIS (UNAM thesis record).