Filatovas Ernestas - Institute of Data Science and Digital Technologies

Scientific and pedagogical background

In 28 March 2012 was awarded a doctoral degree by Vilnius University in the field of Informatics Engineering for the work "Solving multiple criteria optimization problems in an interactive way”. Scientific supervisor: prof. dr. Olga Kurasova

Education

2006-2012 - Vilnius University Institute of Mathematics and Informatics(Ph.D. in Informatics Engineering)
2004-2006 - Vilnius Pedagogical University (Master of Informatics)
2000-2004 - Vilnius Pedagogical University (Bachelor of Mathematics and Informatics)

Research interests

Scientific publications

Scientific publications in peer-reviewed periodicals journals with citation index (Impact Factor) indexed by Clarivate Analytics Web of Science database:

E. Filatovas, M. Marcozzi, L. Mostarda, R. Paulavičius (2022) A MCDM-based framework for blockchain consensus protocol selection. Expert systems with applications, Vol. 204, 117609, 1-18, DOI:https://doi.org/10.1016/j.eswa.2022.117609.
F. Orts, G. Ortega, E. Filatovas, E.M. Garzón (2022) Implementation of three efficient 4-digit fault-tolerant quantum carry lookahead adders. Journal of supercomputing, first on line, 1-19, DOI: https://doi.org/10.1007/s11227-022-04401-x.
Gudžius, O. Kurasova, V. Darulis, E. Filatovas (2021) Deep learning-based object recognition in multispectral satellite imagery for real-time applications. Machine Vision and Applications, Vol. 32(98), DOI: https://doi.org/10.1007/s00138-021-01209-2.
Paulavičius, S. Grigaitis, E. Filatovas (2021) A Systematic Review and Empirical Analysis of Blockchain Simulators. IEEE Access, Vol. 9, 38010-38028, 2021, DOI: https://doi.org/10.1109/ACCESS.2021.3063324.
Orts, G. Ortega, A.C. Cucura, E. Filatovas, E.M. Garzón (2021) Optimal fault-tolerant quantum comparators for image binarization. The Journal of Supercomputing, Vol. 77, 8433-8444, DOI: https://doi.org/10.1007/s11227-020-03576-5.
J. Moreno, J. Miroforidis, E. Filatovas, I. Kaliszewski, E. M. Garzón (2020) Parallel radiation dose computations with GENOCOP III on GPUs. The Journal of Supercomputing, 66–76, DOI: https://doi.org/10.1007/s11227-020-03254-6.
Filatovas, O. Kurasova, J.L. Redondo, J. Fernández (2020) A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems. TOP 28, 402–423, DOI: https://doi.org/10.1007/s11750-019-00535-z.
Paulavičius, S. Grigaitis, A. Igumenov, E. Filatovas (2019) A Decade of Blockchain: Review of the Current Status, Challenges, and Future Directions. Informatica, Vol. 30(4), 729-748, DOI: https://doi.org/10.15388/Informatica.2019.227.
Orts, E. Filatovas, G. Ortega, O. Kurasova, E.M. Garzón (2019) Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures. The Journal of Supercomputing, Springer, Vol. 75(3), 1038-1050, DOI: https://doi.org/10.1007/s11227-018-2285-x.
J. Orts Gómez, G. Ortega López, E. Filatovas, O. Kurasova, E.M. Garzón (2019) Hyperspectral Image Classification Using Isomap with SMACOF. Informatica, Vol. 30(2), 349-365, DOI: https://doi.org/10.15388/Informatica.2019.209.
J. Moreno, G. Ortega, E. Filatovas, J.A. Martínez, E.M. Garzón (2018) Improving the performance and energy of Non-Dominated Sorting for evolutionary multiobjective optimization on GPU/CPU platforms. Journal of Global Optimization, Springer, Vol. 71(3), 631-649, DOI: https://doi.org/10.1007/s10898-018-0669-3.
E. Filatovas, A. Lančinskas, O. Kurasova, J. Žilinskas (2017) A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. Central European Journal of Operations Research, Springer, Vol. 25(4), 859-878, DOI: 10.1007/s10100-016-0443-x.
J. J. Moreno, G. Ortega, E. Filatovas, J. A. Martínez, E. M. Garzón (2017) Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms. The Journal of Supercomputing, Springer, Vol. 73(1), 302–315, DOI: 10.1007/s11227-016-1862-0.
G. Ortega, E. Filatovas, J. A. Martínez, E. M. Garzón, L. G. Casado (2016) Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU. Journal of Global Optimization, Springer, Vol. 69(3), 607–627, DOI: 10.1007/s10898-016-0468-7.
E. Filatovas, D. Podkopaev, O. Kurasova (2015) A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization. International Journal of Computers Communications & Control, Vol. 10(4), 508–519, DOI: 10.15837/ijccc.2015.4.1672.
E. Filatovas, O. Kurasova, K. Sindhya (2015) Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization. Informatica, Vol. 26(1), 33-50, DOI: 10.15388/informatica.2015.37.
O. Kurasova, T. Petkus, E. Filatovas (2013) Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems. Information Technology and Control, Vol. 42(4), 353-361, DOI: http://dx.doi.org/10.5755/j01.itc.42.4.3209.
T. Petkus, E.Filatovas, О. Kurasova (2009) Investigation of Human Factors while Solving Multiple Criteria Optimization Problems in Computer Network. Тechnological and Economic Development of Economy, Vol. 15(3), 464–479, DOI: 10.3846/1392-8619.2009.
T. Petkus, E.Filatovas (2008) Decision Making to Solve Multiple Criteria Optimization Problems in Computer Networks. Information Technology and Control, Vol. 37(1), 63–68.

Scientific publications in other peer-reviewed periodicals journals:

J. Tichonov, O. Kurasova, E. Filatovas (2016) Quality prediction of compressed images via classification. In: Image processing and communications challenges: 8th international conference, IP&C 2016 Bydgoszcz, Poland, September 2016, Series: Advances in intelligent systems and computing. Vol. 525. Cham: Springer International Publishing AG. ISBN: 9783319472744, 35–42.
T. Petkus, O. Kurasova, E. Filatovas, A. Igumenov, S. Ivanikovas (2016) Effective utilization of processors in computer cluster when solving problems of various parallelizable scales. Lietuvos matematikos rinkinys. Proceedings of the Lithuanian mathematical society. Series A. Vilnius: Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0132-2818. Vol. 57, p. 91-96.
G. Ortega, E. Filatovas, L.G. Casado, E.M. Garzón (2015) Acelerando el procedimiento Non-Dominated Sorting como clave de la optimización multiobjetivo. In: Actas XXVI Jornadas de Paralelismo, Córdoba, Spain, September 2015, 526–533, ISBN: 978-84-16017-52-2,
J. Tichonov, O. Kurasova, E. Filatovas (2015) Vaizdų klasifikavimas pagal suspaudimo algoritmo poveikį jų kokybei. Informacijos mokslai, Vol. 73, 127–134, ISSN 1392-0561.
E. Filatovas, G. Melničenko, V. Jakštys (2013) OpenGL ir DirectX technologijų spartos palyginimas programuojant trimačius vaizdus. Informacijos mokslai, Vol. 65, 56-65, ISSN 1392-0561.
E. Filatovas, O. Kurasova (2011) A Decision Support System for Solving Multiple Criteria Optimization Problems. Informatics in Education, Vol. 12(2), 1–12, ISSN 1648-5831.
S. Ivanikovas, E. Filatovas, J. Žilinskas (2009) Experimental Investigation of Local Searches for Optimization of Grillage Type Foundations. In: R. Čiegis, D. Henty, B.Kågström, J. Žilinskas (Eds.), Parallel Scientific Computing and Optimization, Springer Optimization and Its Applications, Vol. 27, 103–112, ISSN 1931-6828, (ISI Web of Science, Conference Proceedings Citation Index).
E. Filatovas, O. Kurasova (2009) Decision Support System for the Optimal Selection of Feed Ingredients. Proceedings of Euro Mini Conference “Knowledge‑Based Technologies and OR methodologies for Strategic Decisions of Sustainable Development” (KORSD‑2009), 58–63, ISBN 978‑9955‑28‑482‑6.

Publications with VU Institute of Data Science and Digital Technologies & Institute of Mathematics and Informatics affiliation

Scientific and other projects

2021-2024 "Resolving research reproducibility problems in Artificial Intelligence using Blockchain Technologies". S-MIP-21-53.
Supported by Lithuanian State Science and Studies Foundation.
Lead of the group of researchers at the Institute of Data Science and Digital Technologies

2019-2021 "High Performance Computing to Optimize Intensity Modulated Radiotherapy Schedules". UAL18-TIC-A020-B.
Supported by Andalusian Board, Spain.
Member of the group of researchers / project manager from Lithuanian side.

2019-2021 "High-performance solutions for today's scientific computing challenges (HPC4Sci)". RTI2018-095993-B-10.
Supported by Ministry of Science and Innovation, Spain.
Member of the group of researchers / project manager from Lithuanian side.

2017-2020 “Development and applications of bilevel optimization algorithms". S-MIP-17-67
Supported by Lithuanian State Science and Studies Foundation.
Member of the group of researchers.

2018-2020 Developing a Smart Real-Time Planning System. J05-LVPA-K-04-0047.
Supported by Lithuanian Business Support Agency (LVPA).
Member a group of scientists at Vilnius University, developed routing and planning algorithms for “UAB Girteka Logistics” company.

2016-2018 Computational methodologies for societal challenges. TIN2015-66680-C2-1-R.
Supported by Ministry of Science and Innovation, Spain.
Member of the group of researchers / project manager from Lithuanian side.

2014–2015 Incubation of new technological companies (Technostart). VP2-1.4-ŪM-05-V-01-003.
Supported by European Structural funds.
Director of the startup “Optimization of Business Performance” / project manager.

2013-2015 Postdoctoral fellowship “Development and application of the interactive algorithms for multiobjective optimization problems” at Vilnius University Institute of Mathematics and Informatics, Lithuania.
Funded by European Union Structural Funds project “Postdoctoral Fellowship Implementation in Lithuania”.
Post-doctoral researcher.

2012 “Improvement of the management of the national health insurance fund”.
Supported by European Union Structural Funds.
Member of the group of researchers.

2008–2009 “Global optimization of complex systems using high performance computing and grid technologies”.
Supported by Lithuanian State Science and Studies Foundation through the Programme for Higher Technologies.
Member of the group of researchers.

2007–2008 “The research of human factors in multiple criteria optimization problems applying parallel computing”.
Supported by Lithuanian State Science and Studies Foundation.
Member of the group of researchers.

Expert activity

Courses taught

Presentations at Scientific Conferences

2019 NUMTA 2019: Numerical Computations: Theory And Algorithms, Calabria, Italy. A preference-based multiobjective evolutionary algorithm for approximating a region of interest of multi-objective optimization problems.
2018 EURO2018: 29th European Conference on Operational Research, Valencia, Spain. A preference-based multiobjective evolutionary algorithm with controllable approximation accuracy.
2017 DAMSS 2017: 9th International Workshop “Data Analysis Methods for Software Systems”, Druskininkai, Lithuania. Satellite Imagery Application to Financial Markets via Machine Learning.
2016 DAMSS 2016: 8th International Workshop “Data Analysis Methods for Software Systems”, Druskininkai, Lithuania. Evaluation of an efficient NSGA-II version on heterogeneous low-power platforms.
2016 GOW’16: XIII Global Optimization Workshop, Braga, Portugal. Energy-aware computation of Evolutionary Multi-Objective Optimization.
2016 EURO2016: 28th European Conference on Operational Research, Warsaw, Poland. NSGA-NBI: A Preference-Based Multi-Objective Evolutionary Algorithm.
2015 DataMSS2015: 7th International Workshop “Data Analysis Methods for Software Systems”, Druskininkai, Lithuania. Solving Multi-Objective Competitive Facility Location Problems Using Preference-Based Evolutionary Approach.
2015 MCDM2015: 23rd International Conference on Multiple Criteria Decision Making, Hamburg, Germany. A Preference-Based Evolutionary Approach for Solving a Three-Objective Competitive Facility Location and Design Problem.
2015 EURO2015: 27th European Conference on Operational Research, Glasgow, UK. Parallelization of the Non-dominated Sorting Procedure.
2014 VOCAL 2014: The 6th Veszprém Optimization Conference: Advanced Algorithms, Veszprém, Hungary. The Preference-Based Multi-Objective Evolutionary Algorithm with Local Search.
2014 DataMSS2014: 6th International Workshop “Data Analysis Methods for Software Systems”, Druskininkai, Lithuania. Extensions of the Preference-Based Multi-Objective Evolutionary Algorithm R-NSGA-II.
2014 IFORS2014: 20th Conference of the International Federation of Operational Research Societies, Barcelona, Spain. A New Visualization Technique for Enhancing Interactive Methods of Multiobjective Optimization.
2014 XXX EURO mini Conference: Optimization in the Natural Sciences, Aveiro, Portugal. A new Hybrid Method for Interactive Multiobjective Optimization Based on NSGA-II and Synchronous NIMBUS Method.
2013 DataMSS2013: 5th International Seminar “Data Analysis Methods for Software Systems”, Druskininkai, Lithuania. Integration of Genetic Multiobjective Optimization Algorithm into Interactive Nimbus Method.
2013 EURO2013: 26th European Conference on Operational Research, Rome, Italy. A New Strategy Based on Genetic Algorithms for Solving Multiobjective Problems Interactively.
2011 Computer Days – 2011, Klaipėda, Lietuva. A Decision Support System for Multiobjective Optimization Problems.
2010 MMA2010: The 15th International Conference “Mathematical Modelling and Analysis”. Druskininkai, Lithuania. Parallel Computing and Matlab to Solve Multiple Criteria Optimization Problems.
2009 KORSD2009: Knowledge-Based Technologies and OR methodologies for Strategic Decisions of Sustainable Development, Vilnius, Lithuania. Decision Support System for Optimal Selection of Feed Ingredients.
2008 EUROPT2008: Continuous Optimization and Knowledge-Based Technologies, Neringa, Lithuania. Investigation of Human Factors Solving Multiple Criteria Optimization Problems in Computer Networks.
2008 INYS2008: International Networking for Young Scientists on High-Performance Scientiﬁc Computing, Druskininkai, Lithuania. Investigation of Human Factors Solving Multiple Criteria Optimization Problems in Computer Networks.
2007 LOTD2007: Operations Research and Applications, Vilnius, Lithuania. Study of Decision Making when Solving Multiobjective Optimization Problems in Parallel.
2007 MCDA65: The 65th Meeting of the European Working Group on Multiple Criteria Decision Aiding, Poznan, Poland. Parallel solution strategies to solve multiple criteria optimization problems.

Qualification

Membership in scientific organizations

Awards

Structure

Staff