Our Research Directions

Research activity is an essential part of our business, as we have always been looking for innovative solutions in our projects.

To ground scientific research to reality, we closely collaborate with universities and industrial research centers worldwide. Well-known European universities are our close partners:

  • Vienna University of Technology, Vienna, Austria
  • Technical University Ilmenau, Ilmenau, Germany
  • Bialystok Technical University, Bialystok, Poland
  • Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

Economics and Finance

Our scientific interests in Economics and Finance include the following primary directions:

  • Financial time series analysis and forecasting – regression analysis, autocorrelation analysis, factor models, volatility modelling, exponential smoothing, GARCH processes.
  • Accounting-based firm valuation.
  • Portfolio optimization – diversification, efficiency, min variance portfolio.
  • Risk estimation and management – derivative instruments and their accounting according to International Accounting Standard, pricing, application for hedging; value at risk through historical simulation, volatility modelling, and bootstrap procedures.
  • Probability of default modelling according to Basel II; rating systems.
  • Bayesian modelling.

Business Optimization Solutions for Microsoft Dynamics AX (Axapta)

Our research knowledge has found multiple practical applications in our Business Optimization Solutions(BOS) for Dynamics AX (Axapta), such as:

  • Business Forecasting – allows automatic fulfillment of sales, purchase, inventory, and cash flow forecast models.
  • Economic Order Quantity – calculation of optimal order size and optimal safety stocks.
  • Economic Value Added – cost accounting extensions of “added costs”.
  • Transportation Problem – optimal geographical allocation of stocks (warehouses) and volume / quantity optimization of cargo transportations using mathematical methods of operations research.

Industrial Automation

Our scientific interests in Industrial Automation include the following primary directions: