Modelling External Environment Effects using Markov-modulated regressions

Period: 01.01.2017
- 01.01.2020

Supervisors:

Assoc. professor 

, 

Dr. sc. ing.
Nadezda Spiridovska
Engineering Faculty
Nadezda-Spiridovska-fotol
spiridovska.n@tsi.lv

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”.

Project Type: Academic

Main Challenge:

The project is devoted to developing of non-traditional regression models, namely Markov-modulated linear regression for analysis of traffic flow and adjacent transport tasks and find algorithms for their parameter estimation for big data.

Funding: ERDF, 1.1.1.2/VIAA/1/16/075

DA&AI tools:

  • Statistical models
  • Markov processes

Deliverables (publications, reports, acknowledgments, etc.)

  • Spiridovska. “Markov-Modulated Processes, Their Applications and Big Data Cases: State of the Art” In book: “Reliability and Statistics in Transportation and Communication. RelStat 2019”. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. Springer, Cham. 2020. pp. 100-109.
  • Yatskiv and N. Spiridovska. “Data Preparation Framework Development for Markov-Modulated Linear Regression Analysis” In book: “Reliability and Statistics in Transportation and Communication. RelStat 2018”. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. Springer, Cham. 2019. pp. 178-190.
  • Spiridovska. “Markov-Modulated Linear Regression: Tasks and Challenges in Transport Modelling”. Reliability and Statistics in Transportation and Communication. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. 2018. pp. 223-231.
  • Spiridovska and I. Yatskiv. “Public transport passenger flow analysis and prediction using alternating Markov-modulated linear regression”. In 29th European Conference on Operational Research (Euro2018) handbook. 2018. pp. 208.
  • Spiridovska. “A Quasi-Alternating Markov-Modulated Linear Regression: Model Implementation Using Data about Coaches’ Delay Time”, international journal of circuits, systems and signal processing, Vol. 12. 2018, pp. 617-628.
  • Spiridovska. “Markov-Modulated Linear Regression: a Case Study of Coaches’ Delay Time”, International Journal of Economics and Management Systems, Vol. 3. 2018, pp. 53-59.
  • Spiridovska. “Markov-Modulated Linear Regression: Tasks and Challenges in Transport Modelling” In book: “Reliability and Statistics in Transportation and Communication”. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. Springer, Cham. 2018. pp. 223-231.I. Kabashkin and I. Yatskiv eds. 2017. pp. 46.

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