(Tiếng Việt tại đây) 


Scientific research topics participated

  • Research to establish 3D city map on Web based with GIS technology.
  • Research to develop tools for assessing and predicting displacement of hydropower dams Applying AI models used for dam safety management in Vietnam
  • Research and apply remote sensing technology in detecting and evaluating the morphology and scale of field fortifications
  • Some approaches to clustering data using fuzzy sets of type 2 and applications
  • Research on the application of spectral clustering in satellite image classification.
  • Application study of Fuzzy Logic in semi-surveillance classification on LANDSAT multi-spectral satellite imagery. Role: Manager
  • Research and apply GIS and remote sensing technology in impact assessment of natural and social factors on land use.
  • Building software for managing lecture halls at Military Technical Academy using 3D GIS technology
  • Apply thermal infrared remote sensing image to determine surface temperature and soil moisture for drought monitoring
  • Research and propose solutions to reduce CO2 emissions in the field of brick, tile and ceramic production
  • Application of remote sensing technology to study surface temperature and soil moisture
  • Researching high-performance computing system based on GPU and applying to big data image processing problem

Published scientific works

  • D.S Mai, L.T Ngo, L.H Trinh. Approach the interval type-2 fuzzy system and PSO technique in landcover classification. The 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Springer LNCS, Vol. 12034, pp. 402-414.

  • D.S Mai, L.T Ngo. General Semi-supervised Possibilistic Fuzzy c-Means Clustering for Land-cover Classification. The 11th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6.

  • L.H Trinh, D.S Mai. Classification of remote sensing imagery based on density and fuzzy c-means algorithm. International Journal of Fuzzy System Applications, Vol.8 (2), pp.1-15, (Scopus, Q2).

  • D.S Mai, L.T Ngo, L.H Trinh. Satellite Image Classification based Spatial-Spectral Fuzzy Clustering Algorithm.  The 10th Asian Conference on Intelligent Information and Database Systems, Springer LNAI 10752, pp. 505–518.

  • D.S Mai, L.T Ngo, L.H Trinh. Advanced Semi-supervised Possibilistic Fuzzy C-means Clustering using Spatial-Spectral distance for Land-cover Classification. The IEEE International Conference on Systems, Man, and Cybernetics, Japan, pp.4375-4380.

  • D.S Mai, L.T Ngo. Semi-supervised method with spatial weights based Possibilistic fuzzy C-means clustering for Land-cover Classification. The 6th NAFOSTED Conference on Information and Computer Science (NICS), IEEE, pp.406-411.

  • D.S Mai, L.T Ngo, L.H Trinh. A hybrid approach of fuzzy clustering and Particle Swarm Optimization method for Landcover classification. Journal of Science and Technology, Section on Information and Communication Technology, Le Quy Don Technical University,No. 12, pp.48-63, 2018.

  • D.S Mai, L.T Ngo. Multiple Kernel Approach to Semi-Supervised Fuzzy Clustering Algorithm for Land-Cover Classification. Engineering Applications of Artificial Intelligence, Vol.68, pp.205–213, (SCIE, Q1, IF=3.5).

  • D.S Mai, L.T Ngo, L.H Trinh. Spatial-spectral fuzzy k-Means clustering for remote sensing image segmentation. Vietnam Journal of Science and Technology, VAST, 56(2), pp.257-272.




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