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Projekta vadītājs/a:
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Academic degree and current position in TSI: associate professor, researcher at the Engineering Faculty.
Previous experience: worked at the Mathematical Methods and Modelling Department in TSI for more than 10 years (assistant, lecturer, assistant professor), postdoc researcher.
Membership: A member of the Latvian Simulation Society since 2004, a member of the Latvian Operations Research Society (LatORS) since 2019.
Teaching activity: Discrete Mathematics (undergraduate level); Probability Theory and Mathematical Statistics (undergraduate level); System Modelling (undergraduate level); Introduction to machine learning (undergraduate level); Statistics (undergraduate level).
Publication activity: Author of on average two to three academic articles a year.
Projects: as a researcher has participated in more than 5 European and Latvian research projects.
Supervised Doctoral, Master and Bachelor Theses (number): 1 Master thesis and more than 10 Bachelor theses.
Research fields/domains: Data analysis, statistical analysis, mathematical modelling and simulation (in transportation), machine learning.
Motto: “Any problem can be turned into opportunity”.
Pētnieks: Dr.sc.ing. Nadežda Spiridovska
Projekta zinātniskais mērķis ir netradicionālo regresijas modeļu izstrāde, tieši Markova-modulējamās regresijas, transporta plūsmu un blakus uzdevumu transporta modelēšanā analīzei un prognozēšanai, kā arī algoritmu meklēšana modeļa parametru novērtēšanai uz lielo datu pamata.
Projekta pamatuzdevumi ir:
Projekta publicitātes informacija:
Valērijas Seiles iela 1, Rīga, LV-1019, Latvija, Tālr.: +371 67 100 661