The Data Science Lab focuses on applying machine learning, data mining, optimization and deep mathematical knowledge to real world problems in society and industry. We have collaborated closely with industry and community in developing intelligent systems.

  • Our natural language processing and image processing teams have been collaborating with many technology companies in developing artificial intelligence applications such as question answering systems and chatbots, recommendation systems, e-commerce search engine optimization, image and video recognition systems,  etc. Our recent partners and collaborators include FPT Corp., Viettel Corp., VinGroup, iNet Solutions, Al+ Inc. (Japan), Cinamon AI (Japan), NetMiner (Korea), Prowess Corp. (USA). 
  • Our financial mathematics group has been collaborating with a number of investment banks, financial companies and hedge funds in applying quantitative models to better serve their customers. Our recent partners include VPBank, Techcombank, FSS.
  • Our optimization and operations research team focusing on solving real world problems in a wide number of areas such as transportation, logistics, supply chains and production, telecommunication, etc. We have collaborated with Zuse Institute Berlin and Lufthansa Systems (Germany) in solving airborne trajectory optimization problems, and with FPT Telecom in optimizing human resource planning.
  • Our statistical consulting team has worked with some partners in solving problems in climate change, meteorology, geography and simulation.
  • Our cryptography and data security teams has collaborated with some state partners in a number of projects in cryptography and cryptanalysis. Our work focuses on two emerging trends in public key cryptography relying on lattice theory and elliptic curves.
  • Our computational mechanics team studies the topic of wave propagation in elastic media, focusing on the propagation of various types of waves and their properties in different media. The obtained results are explicit equations determining phase velocities of waves. In some cases, the explicit formulas of phase velocity depending directly on the parameters of media are derived. The obtained results will be used in the inverse problem such as in non-destructive testing (NDT) for materials, in determining the seismic site effect in seismology, in retrieving the parameters of the structure under the surface.