Nguyễn Mạnh Hùng is a lecturer in the Faculty of Land Management and Real Estate, Nong Lam University, Ho Chi Minh City. His professional activities connect land and real estate studies with quantitative analysis and digital technologies.

His teaching approach emphasizes sound conceptual understanding, hands-on engagement with data, and the verification of analytical results before drawing professional conclusions.

• Land and real estate economics: land value, market dynamics, valuation and investment decisions.
• GIS and WebGIS: spatial databases, land price mapping, location analysis and visualization.
• Quantitative analysis: Hedonic regression, statistics and data-driven decision support.
• Applied technologies: SketchUp, 3D modeling, digital tools, AI and interactive learning methods.

Representative research areas include land price mapping, GIS/WebGIS-based valuation models, the spatial distribution of land values and multi-objective optimization in land use decisions. Related outputs have been shared through academic publications, conferences and applied platforms.

Alongside academic work, he has developed web-based tools such as LPS – Land Price Schedule → and LandTree – Real Estate Data Analysis →. These platforms support the exploration of digitized workflows, analytical models and professional applications.

The BDSNL.com knowledge and application portal → brings together subject-based learning applications, educational resources and analytical tools. Learning activities are designed to combine coursework, practical assignments, scenario-based tasks, simulations and professional exercises.

The RealConnect student forum → offers an additional space for questions, peer learning, discussion of practical cases and connection with the real estate community.

His ongoing focus is on structured learning resources, usable tools for practical training, and transparent analytical workflows. GIS, spatial modeling, statistics and AI are approached with an emphasis on data quality, verification and professional accountability.