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Dr. Linas Stripinis
Department: Blockchain and Quantum Technologies Group
Position: Researcher, Senior Researcher
Address: Akademijos st. 4, Vilnius
E-mail:
Professional social profiles: 
Scientific and pedagogical background
Education
- 2009-2014 - Lithuanian University of Educational Sciences (Bachelor of Mathematics and Informatics)
- 2014-2016 - Lithuanian University of Educational Sciences (Master of Mathematics)
- 2016-2020 - Vilnius University Institute of Data Science and Digital Technologies (Ph.D. in Informatics)
- In 25 February 2021 was awarded a doctoral degree by Vilnius University in the field of Informatics for the work "Improvement, development and implementation of derivative-free global optimization algorithms”. Scientific supervisor: Prof. Dr. Remigijus Paulavičius
Research Interests
- Global optimization
- Optimization methods and their implementation
- Parallel computing
- Numerical analysis
- Statistical data analysis
- Machine learning
Presentations at Scientific Conferences
- 2022: 13th International workshop on Data Analysis Methods for Software Systems (DAMSS), December 1-3, Druskininkai, Lithuania. A New Genetic Tourist Trip Design Algorithm for a Highly Personalised Globe-trot Traveling Experience.
- 2021: 31st European Conference on Operational Reaserch - Euro 2021, July 11-14, Athens, Greece. DGO: A DIRECT-type MATLAB Toolbox for Derivativefree Global Optimization.
- 2021: World Congress on Global Optimization - WCGO 2021, July 7-10, Athens, Greece. Implementation of the first DIRECT-type toolbox (DGO) and an extensive experimental study of DGO and various partitioning and selection techniques.
- 2019: The International EURO mini Conference Modelling and Simulation of Social-Behavioural Phenomena in Creative Societies, September 18–20, Vilnius, Lithuania. Importance of optimization techniques for the social sciences.
- 2018: 10th International workshop on Data Analysis Methods for Software Systems (DAMSS), November 29 – December 1, Druskininkai, Lithuania. Improved DIRECT-type algorithms for generally constrained global optimization problems
- 2018: 16th EUROPT Workshop on Advances in Continuous Optimization, July 12-13, Almeria, Spain. Improved DIRECT-type algorithm for constrained globalo ptimization problems.
- 2017: 9th International workshop on Data Analysis Methods for Software Systems (DAMSS), November 30 - December 2, Druskininkai, Lithuania. Improved DIRECT-type algorithms for generally constrained global optimization problems.
Doctoral conferences:
- Annual Reporting Doctoral Conference of Informatics, October 22, 2020 Vilnius „Improvement, development and implementation of derivative-free global optimization algorithms“ (Slides)
- Annual Reporting Doctoral Conference of Informatics, October 30, 2019, „Vilnius „Improvement, development and implementation of derivative-free global optimization algorithms“ (Technical Report, Slides)
- Annual Reporting Doctoral Conference of Informatics, October 24, 2018, „Vilnius „„Improvement, development and implementation of derivative-free global optimization algorithms“ (Technical Report, Slides)
- Annual Reporting Doctoral Conference of Informatics, October 17, 2017, „Improvement, development and implementation of derivative-free global optimization algorithms“ (Technical Report, Slides)
Scientific publications
Scientific publications in peer-reviewed periodicals journals with citation index (Impact Factor) indexed by Clarivate Analytics Web of Science database:
- L. Stripinis, J. Kůdela, R. Paulavičius. (2024). Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets. IEEE Transactions on Evolutionary Computation, ISSN: 1941-0026, Online first, 19 pages, DOI: 10.1109/TEVC.2024.3379756
- L. Stripinis, R. Paulavičius. (2024). Review and Computational Study on Practicality of Derivative-Free DIRECT-Type Methods. Informatica, ISSN: 0868-4952, Online first, 34 pages, DOI: 10.15388/24-INFOR548
- E. Filatovas, L. Stripinis, F. Orts, R. Paulavičius. (2024). Advancing Research Reproducibility in Machine Learning through Blockchain Technology. Informatica, ISSN: 0868-4952, Online first, 27 pages, DOI: 10.15388/24-INFOR553
- L. Stripinis, R. Paulavičius. (2024). Lipschitz-inspired HALRECT algorithm for derivative-free global optimization. Journal of Global Optimization, ISSN: 1573-2916, vol 88, no 1, p. 139-169. DOI: 10.1007/s10898-023-01296-7
- M. Marcozzi, E. Filatovas, L. Stripinis, R. Paulavičius. (2024). Data-Driven Consensus Protocol Classification using Machine Learning. Mathematics, vol. 12, no. 2, article 221, 18 pages. DOI: 10.3390/math12020221
- L. Stripinis, R. Paulavičius. (2024). An empirical study of various candidate selection and partitioning techniques in the DIRECT framework, Journal of Global Optimization, ISSN: 1573-2916, vol 88, no 3, p. 723-753. DOI: 10.1007/s10898-022-01185-5
- R. Paulavičius, L. Stripinis, S. Sutavičiutė, D. Kočegarov, E. Filatovas. (2023). A novel greedy genetic algorithm-based personalized travel recommendation system. Expert Systems with Applications, ISSN: 0957-4174, article 120580, 35 pages. DOI: 10.1016/j.eswa.2023.120580
- L. Stripinis, R. Paulavičius. (2023). Novel Algorithm for Linearly Constrained Derivative Free Global Optimization of Lipschitz Functions. Mathematics, ISSN: 2227-7390, vol. 11, no 13, article 2920, 19 pages. DOI: 10.3390/math11132920
- L. Stripinis, R. Paulavičius. (2022). DIRECTGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization. ACM Transactions on Mathematical Software, ISSN: 0098-3500, vol. 48, no 4, article 41, 46 pages. DOI: 10.1145/3559755
- L. Stripinis, R. Paulavičius. (2022). Experimental study of excessive local refinement reduction techniques for global optimization DIRECT-type algorithms. Mathematics, ISSN: 2227-7390, vol. 10, no. 20, article 3760, 18 pages. DOI: 10.3390/math10203760
- L. Stripinis, R. Paulavičius. (2021). A new DIRECT-GLh algorithm for global optimization with hidden constraints. Optimization Letters, ISSN: 1862-4480, vol. 15, no 1, p. 1865-1884. DOI: 10.1007/s11590-021-01726-z
- L. Stripinis, L. G. Casado, J. Žilinskas, R. Paulavičius. (2021). On MATLAB experience in accelerating DIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization. Applied Mathematics and Computation, ISSN: 0096-3003, vol. 390, no. 1, article 125596, 17 pages. DOI: 10.1016/j.amc.2020.125596
- L. Stripinis, R. Paulavičius, J. Žilinskas. (2019). Penalty functions and two-step selection procedure based DIRECT-type algorithm for constrained global optimization. Structural and Multidisciplinary Optimization, ISSN 1615-1488, vol. 59, no 6, p. 2155-2175. DOI: 10.1007/s00158-018-2181-2
- L. Stripinis, R. Paulavičius, J. Žilinskas. (2018). Improved scheme for selection of potentially optimal hyper-rectangles in DIRECT. Optimization Letters, ISSN 1862-4472, vol. 12, no 7, p. 1699-1712. DOI: 10.1007/s11590-017-1228-4
Books
L. Stripinis, R. Paulavičius. (2023). Derivative-free DIRECT-type Global Optimization: Applications and Software. SpringerBriefs in Optimization. X, 122 p. ISBN: 978-3-031-46539-0, DOI: 10.1007/978-3-031-46537-6.
Scientific projects
2023-2027 "Development and validation of quantum machine learning methods using pre-built datasets". Supported by Lithuania Ministry of Education, Science and Sport.
2021-2024 "Resolving research reproducibility problems in Artificial Intelligence using Blockchain Technologies". Supported by Lithuanian State Science and Studies Foundation. (Nr. S-MIP-21-53)
2017-2020 “Development and applications of bilevel optimization algorithms". Supported by Lithuanian State Science and Studies Foundation. (No. P‐MIP‐17‐60)