Kurasova Olga - Institute of Data Science and Digital Technologies

olga kurasova

Prof. dr. Olga Kurasova

Department: Cognitive Computing Group
Position: Principal Researcher, Professor

Address: Akademijos st. 4, room 620, Vilnius
Tel: (+370 5) 210 9322
E-mail:

Social profiles:

Scientific and Pedagogical Background

Ph.D. in Computer Science, Associate Professor

Research Work

Scientific publications

Scientific and other projects

COST actions:

BIG-SKY-EARTH: Big Data Era in Sky and Earth Observation (COST TD1403), 2014-2018.
cHiPSet: High-Performance Modelling and Simulation for Big Data Applications (COST IC1406), 2015-2019.
SoftStat: Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions (COST IC0702), 2009-2012.

National and international projects:

EuroStars project: PEN – Production Effectiveness Navigator, EuroStars project E!6232, 2011-2014.
Theoretical and Engineering Aspects of E-Service Technology Development and Application in High-Performance Computing Platforms, 2012-2015.
Development of Data Analysis Methods and Tools (2013-02-12 Agreement between "Informatikos mokslų centras" and Vilnius University).
Innovation voucher No. 31V-109 (JSC "Algoritmų sistemos", MITA): Analysis of optimization strategies, implementation possibilities and methods of Artificial Neural Networks for complex decisions, 2012.
Comparative quantitative and qualitative research "Estimation of demand of engineering studies specialists in Lithuania, Estonia and Poland". Agreement with Vilniaus kolegija (University of Applied Sciences).
Development of the prototype for interaction between the network of sensors and local component of information collecting, transferring and representation. Agreement with JSC "Diagnostinės sistemos." No. 12-17.01/2010.
Representing of critical physiological parameters data, and development of a decision making algorithm and decision making subsystem prototype [sub-project of "Creation of an efficient system for constant observation of critical physiological parameters", 2010-12-08 – 2010-12-31.
Human genome diversity determined pathogenetic mechanisms of atherosclerosis (ATHEROGEN), 2004-2006.
Information technologies for human health - support of clinical decisions (e-health). Acronym "IT Health", 2003-2006.
Development program of the technology project "Information technology tools of clinical decision support and citizens' wellness for the e- Health system (Info Health)", 2007-2009.

Presentations at Scientific Conferences

Deep Learning Models for Pancreatic Cancer Detection in CT Images. EURO 2022. 32nd European Conference on Operational Research, Aalto University, Finland, July 3-6, 2022.
Massive Data Visualization via Selecting a Data Subset. 8th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 1-3, 2016.
Classification-Based Storage of JPEG Images. 8th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 1-3, 2016.
Multi-Level Method for Big Data Visualization. 8th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 1-3, 2016.
Artificial Neural Networks for Massive Data Visualization. EURO 2016: 28th European Conference on Operational Research, Poznan University of Technology, Poznań, Poland, July 3-6, 2016.
Decision Tree Classification to Predict Effect of JPEG Compression on Images. EURO 2016. 28th European Conference on Operational Research, Poznan University of Technology, Poznań, Poland, July 3-6, 2016.
Visual Analytics for Big Data. 7th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 3-5, 2015.
Image Classification for Quality Prediction after JPEG Compression. 7th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 3-5, 2015.
Extensions of the Preference-based Multi-objective Evolutionary Algorithm R-NSGA-II. 5th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 4-6, 2014.
A review of Data Mining Systems Based on Web Services. 5th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, December 5-7, 2013.
Web Service-based Data Mining Systems. 26th European Conference on Operational Research, 1-4 July, 2013, Rome, Italy.
Integrated Visualization of Vector Quantization by Multidimensional Scaling. Workshop on Computer Graphics, Vision and Mathematics (GraVisMa 2009), September 2-4, 2009, Plzen, Czech Republic.
Visualization of Support Vectors. XIII International Conference on Applied Stochastic Models and Data Analysis (ASMDA-2009), June 30- July 3, 2009, Vilnius, Lithuania.
Combination of Vector Quantization and Visualization. 6th International Conference on Machine Learning and Data Mining, MLDM 2009, July 23-25, Leipzig, Germany.
Rule Induction for Ophthalmological Data Classification, EURO Mini Conference on Continuous Optimization and Knowledge-Based Technologies, May 20-23, 2008, Neringa, Lithuania.
Parameter System for Human Physiological Data Representation and Analysis, 3rd Iberian Conference on Pattern Recognition and Image Analysis, June 6-8, 2007, Girona, Spain.

Ph.D. Supervision and Lecturing

PhD Supervision

Membership of editorial boards

Membership of scientific societies

IEEE https://www.ieee.org/
Association for Computing Machinery (ACM) https://www.acm.org/

Academic and professional awards

A winner of the Lithuanian Science Prize 2021 – Gintautas Dzemyda and Olga Kurasova “From data science to artificial intelligence technologies (2006-2020)”

Structure

Staff