Darius Plikynas

  Darius Plikynas, dr.

The real voyage of discovery consists not in seeking new landscapes but in having new eyes (Marcel Proust)











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Brief info


Selected Courses Taught

Recent Academic Accomplishments

Research Interests

Other information


Brief info

Name, surname

Darius Plikynas

Current academic position


Vilnius University, Institute of mathematics and informatics, full time senior research fellow at Systems analysis department

Vilnius Gediminas Technical University, Department of Business Technologies, position of professor


Date of birth

November 19, 1972




Cell. Ph.: +370 620 95101 


dplikynas@gmail.com, darius.plikynas@mii.vu.lt



PhD thesis defended in Vilnius University, Economics faculty, Theory of Economics Department (Social sciences). PhD thesis titled "Nonlinear dynamics analyses using artificial intelligence methods in financial capital markets"


Vilnius university, economics faculty (IBS): masters degree in International Trade (MBA)


Vilnius university, physics faculty: physics engineer degree in informatics and networks


Vilnius university, economics faculty (IBS): bachelor’s degree in international business administration


Vilnius university, physics faculty: bachelor’s degree in applied optics and spectroscopy

Selected Courses Taught


Industrial logistics (bachelors course)

Complex project (bachelors course)

Business management systems: automation and globalization (MBA course)

Computational intelligence systems for business process management (MBA course)

E-business - this course deals with modern IT approaches in virtual business environments.

Knowledge Systems - the course deals with knowledge management, knowledge assets, network economics etc.

Artificial Intelligence Systems - the course is based on the applications of artificial intelligence systems (neural networks, fuzzy systems, genetic algorithms, chaos theory, decision support systems, agent technologies, SWARM analyses etc) in business and management

Recent Academic Accomplishments


In 2011, March, Lithuania Science Committee has approved EU funding for the research project No. VP1-3.1-ŠMM-07-K-01-137 titled "CREATION OF OSCILLATIONS BASED PARADIGM FOR SIMULATION OF SOCIAL SYSTEMS BEHAVIOUR". Project's duration 4 years, 5 researches involved, see OSIMAS

In 2008-2009, R&D EU funded grant # S-VP2-1.3-UM-01-K-01-065 titled "Pilot study of computational intelligence based investment decision support system E-INVESTOR“.

Awarded scientific research grant for US Fulbright Scholar Program 2005-2006 at SNHU (Southern New Hampshire University) and RPI (Rensselaer Polytechnic Institute)

Ad hoc editor for the international journals: (i) International Journal of Emerging Markets and (ii) Economics.

Section chairmanship in some international conferences like ICAI�05 in US (Las Vegas), CITSA'04 in US (Florida), EWGFM'05 (Brescia) or CIEDCEE'04 in Vilnius.

A member of the program committee of the 2006 International Conference on Data Mining (DMIN'06, Las Vegas).

Research fellow status granted in Mathematics and Informatics Institute (Vilnius) in 2004

Some given talks in the seminars: (i) Southern New Hampshire University (NH, US) IT seminar; (ii) Rensselaer Polytechnic Institute, Department of Decision Sciences and Engineering Systems (Troy, NY) etc

Summer school NN2005: Neural networks in classification, regression and data mining. July, 2005, ISEP - Porto, Portugal.

Visiting professor in the Ghent University (Arteveldehogeschool) according to the ERASMUS scholar exchange program in December, 2004 (courses of Web design, HTML).

Grant for the EU Workshop "EUMOptFin2: Asset and Liability Management for Financial Institutions", Cyprus, 2003.11.10-14

ECCAI member (through Artificial Intelligence section of LIKS)

A full member of ESSA - the European Social Simulation Association

A full member of Lithuania Operational Research Society (LOTD)

A full member of Euro Working Group for Financial Management

A full member of the Global Development Network (GDN)

Research Interests

Research interests include, but are not limited to various Computational Intelligence and Complexity approaches (like neural networks, fuzzy systems, genetic algorithms, chaos&complexity theory, evolutionary dynamics, artificial life, social simulations etc) used for forecasting, recognition, modeling-simulating in social domain. The recent work is related with Multi-agent systems for simulating complex social phenomena. The main current research topic "Creation of oscillations based paradigm for simulation of social systems behavior". For more references, please, see links of books, publications and projects.

Other information

Fluent in English, Russian and Polish languages. Lifestyle: yoga practices, active time in the nature, taking care about farmstead.

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