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Dr. Laura Ringienė
Department: Cognitive Computing Group, Interdisciplinary Statistical Research Group
Position: Information Technology Administrator, Assistant Professor
Address: Akademijos st. 4, room 607, Vilnius
Tel: (+370 5) 210 9344
E-mail:
Scientific and Pedagogical Qualifications
- 2006 – Vilnius Pedagogical University, Bachelor's degree in Computer Science
- 2008 – Vilnius Pedagogical University, Master's degree in Computer Science
- 2014 – Doctoral dissertation “Hybrid Neural Network for Multidimensional Data Visualization” [summary] (Technological Sciences, Informatics Engineering 07T) at the Institute of Mathematics and Informatics, Vilnius University
Scientific interests
- Data mining: Data Visualization Algorithms, Clasiffication Algorithms, Artificial Neural Network
- Big Data: Data Mining, Software, Practical Use
- Statistical: Multilevel Linear Modeling, Structural Equation Modeling
Scientific publications
The R program package EFECTAS for the analysis of International large-scale assessments (ILSAs) data (PISA, TIMSS, PIRLS)
Projects
Research Council of Lithuania. Effectiveness and Efficiency Analysis of Education Systems in EU Countries Employing Secondary Big Data (EFECTAS) (http://www.efectas.projektas.vu.lt) 2018–2022
Professional development
- „UIPath RPA - Tech Primer“, February 3, 2021
- „Robotic Process Automation - RPA Overview“, January 29, 2021
- „Structural Equation Modeling (SEM) with Large-Scale Assessment Data“, November 23-27, 2020
- Multilevel Linear Modeling (MLM) with Large-Scale Assessment Data, October 26-30, 2020
- Graph Analytics for Big Data, August 12-16, 2020
- Machine Learning With Big Data, August 6-11, 2020
- Big Data Integration and Processing, July 30 - August 5, 2020
- Big Data Modeling and Management Systems, July 27-29, 2020
- Introduction to Big Data, July 21-24, 2020
- SEM Workshop Foundations of Structural Equation Modeling and Cross-Cultural Comparisons, May 27-29, 2019
- Structural Equation Modeling and Longitudinal Analysis in Mplus and R, February 12-23, 2018
- Preparation of investment projects (public sector comparison models), March 16-18, 2015
- 50 academic hours of B2.1 level English language course, February 18 - June 3, 2015
- 50 academic hours of intermediate level (B1) English language course, October 21, 2014 - January 12, 2015
- Research funding opportunities, research project management, administration and application preparation, October 1-2, 2014