Projekts “Netradicionālie regresijas modeļi transporta modelēšanā” (1.1.1.2/VIAA/1/16/075)

Periods: 01.10.2017
- 30.09.2020
Programma: ERAF

Projekta vadītājs/a:

Asoc. profesors 

Dr. sc. ing.
Nadežda Spiridovska
Inženierzinātņu fakultāte
Nadezda-Spiridovska-fotol

Dr.Sc.Ing. Nadezda Spiridovska is an associate professor and a senior researcher of Engineering Faculty at Transport and Telecommunication Institute. Scientific interest is related to transport modelling, data science, higher education problems. Delivered courses: Data Science Fundamentals, Statistics, Business Intelligence and Data Visualization, Discrete Mathematics. Nadezda is the author of more than 20 scientific publications (cited by international scientific publishers). She has participated in different International and Latvian research projects (COST Actions, ALLIANCE and other).

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. A member of evaluation committee for PhD defences in Sapienza Università di Roma.

Teaching activity: Discrete Mathematics (undergraduate level); Probability Theory and Mathematical Statistics (undergraduate level); System Modelling (undergraduate level); Data Science Fundamentals (undergraduate level); Statistics (undergraduate level), Business Intelligence and Data Visualization (graduate 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 (COST Actions, ALLIANCE). Also, Postdoc project: Non-traditional regression models in transport modelling (1.1.1.2/VIAA/1/16/075), Oct 2017 – Sep 2020.

Supervised Doctoral, Master and Bachelor Theses (number): 4 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:

  • Markova-modulējamās lineārās regresijas parametru novērtēšana un transporta plūsmu prognozēšana uz reāliem datiem, ņemot vērā “ārējās vides” ietekmi
  • Markova-modulējamās lineārās regresijas modeļa attīstība (daudzfaktoru regresijas, nepilnu datu izlase)
  • Algoritmu izstrāde Markova-modulējamās lineārās regresijas parametru novērtēšanai uz liela datu apjoma pamata

Projekta publicitātes informacija:

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