C:\>LONG_NGO
GEOSPATIAL INTELLIGENCE / HUMAN BEHAVIOR / ENVIRONMENTAL & URBAN SYSTEMS
LONG NGO · NGÔ HOÀNG ĐẠI LONG · N.H.D.L.

Geospatial intelligence for complex environmental, urban, and social systems

I work at the intersection of geoinformatics, agent-based modeling + GIS, environmental modeling, ecological engineering simulation, computational social science, WebGeo/WebGIS, GeoNLP, GeoAI, and spatially grounded AI agents.

PositionDepartment of Engineering and Technology
InstitutionVietnam National University Ho Chi Minh City – Campus in Ben Tre, Vinh Long
Core methodsABM + GIS · Spatial analysis · Social networks
Research systemsHuman behavior · Urban systems · Environmental dynamics
READ ACADEMIC CV VIEW PAPER PORTFOLIO

Research identity

SPACE × ECOLOGY × SOCIETY × LANGUAGE × AGENTS

The research program connects spatial evidence, environmental processes, human behavior, urban dynamics, and geographic language into reproducible computational systems for analysis, simulation, and decision support.

01 / GEODATA

Geoinformatics

Spatial databases, GIS, remote sensing, geospatial data engineering, and reproducible spatial analytics.

02 / ABM + GIS

Human behavior & spatial simulation

Integration of agent-based modeling and GIS to explore individual behavior, collective dynamics, spatial interactions, and scenario outcomes.

03 / URBAN SYSTEMS

Computational social geography

Urban and socio-economic environments using spatial analysis, social network analysis, social media data, and agent-based modeling.

04 / ENVIRONMENT

Environmental & ecological simulation

Landscape dynamics, environmental risk, ecological engineering scenarios, cellular automata, ABM, and system dynamics.

05 / LANGUAGE

GeoNLP & spatial knowledge

Place-aware text mining, geographic entities, environmental corpora, spatial ontologies, knowledge graphs, and geographic RAG.

06 / AGENTS

GeoAI & spatial agents

Spatial machine learning, geographic reasoning, tool-using agents, graph learning, and location-grounded AI systems.

Areas of expertise
  • Integrating agent-based modeling (ABM) and geographic information systems (GIS) to explore human behavior in spatially explicit environments.
  • Exploring and understanding natural and socio-economic environments, with particular attention to urban areas.
  • Applying GIS, spatial analysis, social network analysis, social media data, and agent-based modeling methodologies.
Methodological reference: GIS & Agents ↗

Working architecture

GEODATA→BEHAVIOR→MODELS→AGENTS→DECISIONS

The goal is not to treat GIS, AI, simulation, and language models as separate technologies. The working architecture treats them as a single evidence chain: spatial observations become behavioral and environmental models; models are linked with documents and local knowledge; reasoning systems operate on both; decision outputs remain traceable to geographic evidence.

Current manuscript portfolio

P01
Spatial Agents for Environmental Decision-Making: A GeoAI–LLM Architecture with WebGIS, Tool Use and Geographic Memory
MANUSCRIPT Long Ngo (N.H.D.L.) · proposed research paper
Spatial AgentsGeoAILLMWebGIS
P02
GeoNLP for Vietnamese Environmental Intelligence: Linking Place Names, Local Knowledge and Policy Evidence in the Mekong Delta
MANUSCRIPT Long Ngo (N.H.D.L.) · proposed research paper
GeoNLPLocal KnowledgeEnvironmental Text
P03
Ecological Engineering Simulation of Salinity–Livelihood Dynamics in the Coastal Mekong Delta: Coupling GIS, Agent-Based Modeling and Field Evidence
MANUSCRIPT Long Ngo (N.H.D.L.) · proposed research paper
SimulationABMGISLivelihoods
P04
WebGeo: A Browser-Native Architecture for Reproducible Geospatial Environmental Modeling
MANUSCRIPT Long Ngo (N.H.D.L.) · proposed research paper
WebGeoWebGISReproducibility
P05
Spatially Grounded Multi-Agent Systems for Climate Adaptation Planning: Integrating Social Computation, Local Knowledge and GeoAI
MANUSCRIPT Long Ngo (N.H.D.L.) · proposed research paper
Multi-AgentClimate AdaptationGeoAI
The five items above are research manuscripts / proposed papers. They are not presented as published articles, accepted papers, indexed outputs, or DOI-bearing publications.

Intellectual & methodological influences

Contemporary intellectual and methodological influences highlighted in this profile include V.S. Tikunov, Andrew Crooks, Philippe Caillou, Benoit Gaudou, Arnaud Grignard, Chi Quang Truong, and Patrick Taillandier. Their influence is reflected in the profile's emphasis on geoinformatics, agent-based modeling, GIS-integrated simulation, human behavior, urban systems, complex systems, and spatial decision support.

V.S. TikunovAndrew CrooksPhilippe CaillouBenoit GaudouArnaud GrignardChi Quang TruongPatrick Taillandier

The broader lineage still connects Russian physical-geography and landscape theory, Chinese regionalization and geoinformatics development, and Vietnamese localization in natural geography, GIS, remote sensing, and applied geoinformatics. The popup distinguishes this broader historical lineage from contemporary methodological influences.

Contact

Email: nhdlong@vnuhcm.edu.vn
Institutional website: vnuhcm.edu.vn
LinkedIn: linkedin.com/in/ngohoangdailong
Current position: Department of Engineering and Technology, Vietnam National University Ho Chi Minh City – Campus in Ben Tre, Vinh Long, 930000, Vietnam