CV.EXE / ACADEMIC PROFILE

Long Ngo

Full name: Ngô Hoàng Đại Long (N.H.D.L.)
Role: Geoinformatics & Environmental Systems Researcher
Unit: Department of Engineering and Technology
Institution: Vietnam National University Ho Chi Minh City – Campus in Ben Tre, Vinh Long, 930000, Vietnam
Email: nhdlong@vnuhcm.edu.vn
Institutional website: vnuhcm.edu.vn
LinkedIn: linkedin.com/in/ngohoangdailong
GitHub: Base27-CVNSS/LogpWoy

Research profile

Long Ngo works across geoinformatics, environmental modeling, ecological engineering simulation, computational social science, WebGeo/WebGIS, GeoNLP, GeoAI, and spatially grounded agent systems.

SPACE × ECOLOGY × SOCIETY × LANGUAGE × AGENTS

Research is organized as an evidence chain from spatial data and environmental processes to language-aware reasoning, simulation, and decision-support systems.

Areas of expertise

GeoinformaticsGIS · Remote sensing · Spatial databases · Spatial analysis

SimulationEnvironmental modeling · CA · ABM · System Dynamics

WebGeoWebGIS · Spatial APIs · Browser-native geospatial systems

GeoNLPPlace-aware NLP · Ontologies · Knowledge graphs · RAG

GeoAISpatial ML · GNN · Explainable spatial prediction

Spatial agentsTool use · Geographic memory · Multi-agent systems

Current research architecture

GEODATA→MODELS→LANGUAGE→AGENTS→DECISIONS

Current manuscript portfolio

Spatial Agents for Environmental Decision-Making: A GeoAI–LLM Architecture with WebGIS, Tool Use and Geographic Memory — proposed manuscript.
GeoNLP for Vietnamese Environmental Intelligence: Linking Place Names, Local Knowledge and Policy Evidence in the Mekong Delta — proposed manuscript.
Ecological Engineering Simulation of Salinity–Livelihood Dynamics in the Coastal Mekong Delta: Coupling GIS, Agent-Based Modeling and Field Evidence — proposed manuscript.
WebGeo: A Browser-Native Architecture for Reproducible Geospatial Environmental Modeling — proposed manuscript.
Spatially Grounded Multi-Agent Systems for Climate Adaptation Planning: Integrating Social Computation, Local Knowledge and GeoAI — proposed manuscript.

These titles describe an active research/manuscript portfolio. They are not listed as published or accepted papers unless documentary evidence is added later.

Intellectual lineage & direct influences

The conceptual lineage used in this profile connects Russian physical-geography and landscape theory, Chinese natural regionalization and geoinformatics, and Vietnamese localization in natural geography, GIS, remote sensing, and applied geoinformatics.

The direct formative influences highlighted in this profile are Tang Van Dom and Vuong Tuong Van.

Next-generation direction

Simulation: landscape dynamics, cellular automata, agent-based modeling, and system dynamics.
GeoAI: spatial machine learning, graph neural networks, physics-informed models, and regional prediction.
GeoNLP & spatial knowledge: landscape ontologies, knowledge graphs, geographic language models, and place-aware querying.
Spatial agents: map-grounded reasoning, geospatial tool use, geographic memory, and multi-agent decision support.

Working principles

Evidence first · Spatial grounding · Reproducibility · Human-in-the-loop · Decision relevance · Open computational workflows