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Scientific resources

The Faculty’s scientific activities are presented by research topics:
  • statistical modeling (heavy tailed distributions, time series, econometric and actuarial models, stochastic analysis, reliability and survival analysis)
  • numerical modeling (numerical analysis, optimization methods, applied mathematics, computational modeling of physical–chemical processes)
  • number theory (algebraic, analytic and probabilistic number theories, combinatorics)
  • theoretical computer science (neural networks, software process, semantics of programs, artificial intelligence, retrieval of logical proofs, error-correcting codes, cryptography, discrete algorithms and structures, probabilistic analysis of number-theoretical structures, combinatorial statistics, and randomized algorithms)
  • applied computer science (computer vision, computational geometry, visualization, speech and signal processing, data structures and algorithms, open queuing networks, message switching systems, information security, electronic signature
  • software engineering (software process, software engineering methods and tools, software quality management, business process modeling, information systems modeling, human–computer interaction)
  • information and computing technologies (grid computing, cloud computing, virtualization, service oriented frameworks, Internet technology and information systems)
  • financial econometrics (macro-econometrics, time series analysis, functional data analysis; limit theorems in probability and its applications to statistics and econometrics; bootstrap and other resampling methods in statistics and econometrics visualization)
DiSCC provided grid computing resources (within framework of Lithuanian Grid) for applications:
  • modeling of heterogeneous processes in biology, biochemistry, optical spectroscopy, other algorithms and modeling, analysis of biological macromolecules
  • calculations of quantum mechanics, material science, modeling crystal and crystal surfaces
  • analysis and visualization of multidimensional biomedical data
  • Baltic Sea eco-system modeling
  • computational linguistic, text corpora, etc.
  • modeling of free and two-sided surfaces and friable material dynamics, related engineering science problems
  • computing of pseudo-random data sets, their composing and analysis
  • computing of physics of elementary particles and atomic nuclei
  • astrophysics problems such as stars and galactic spectrum analysis, related computing.