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Jamilya Nurgazina BSc MSc

  • Junior Researcher
    Digital Technologies Research Group
    Institute of Creative\Media/Technologies
  • Department of Media and Digital Technologies
Location: A - Campus-Platz 1

Study programmes

  • Smart Engineering (BA)

Departments

  • Media and Digital Technologies

Short profile

  • since 2018: St. Pölten University of Applied Sciences, Insitute of Creative\Media/Technologies, Junior researcher, Research group Digital Technologies
  • 2017: Procter & Gamble Service GmbH, Master thesis
  • 2015-2017: Master of Science in Industrial Management, International Master in Industrial Management, Universidad Politécnica de Madrid (Spain), MIP Politecnico di Milano (Italy), Heriot-Watt University (Scotland, UK)
  • 2013-2015: Kazakhstan Railways, NURIS PI, EKZ LLP, Project coordination and project management
  • 2012: KPMG Tax and Advisory, Intern in IT Advisory
  • 2008-2012: Bachelor of Science in Engineering and Technology (Information Systems), Kazakh-British Technical University (Kazakhstan)

Projects

Publications

Nurgazina, J., Nolz, P., & Felberbauer, T. (2023, September 27). Effiziente dezentrale nachhaltige Lebensmittel-Produktion [Poster]. Eröffnung RSA FG Smart-Digital-Industries-Services, FH St. Pölten.
EDEN: aquaponics-based sustainable food production. (2023, June 9). [Poster]. 5th International Conference on Biosystems and Food Engineering, Budapest, Hungary. http://biosysfoodeng.hu/
Anderluh, A., Nurgazina, J., Nolz, P., & Schöffer, L. (2023, September 21). Load synchronization for sustainable online shopping deliveries in urban areas. 3rd SynchroTrans Workshop, Lille.
Nurgazina, J., & Raible, I. M. (2022, March 22). Incubator session "Blockchain-enabled Cotton Supply Chains to Achieve UN"s SDGs: Trade-offs in Decision-Making to Achieve More Sustainable Supply Chains."
Nurgazina, J., Felberbauer, T., Asprion, B., & Pinnamaraju, P. (2022). Visualization and clustering for rolling forecast quality verification: A case study in the automotive industry. Procedia Computer Science, 200, 1048–1057. https://doi.org/https://doi.org/10.1016/j.procs.2022.01.304
Nurgazina, J., Kazantsev, N., Moser, T., & Reiner, G. (2022). Modeling food waste mitigation enabled by distributed ledger technologies. 22nd International Working Seminar on Production Economics, Innsbruck, Austria.
Nurgazina, J., & Felberbauer, T. (2021, November 19). InnoFIT – Information Technologies for Novel Forecasting Tools [Project presentation at the R&D projects dissemination event]. 3rd International Conference on Industry 4.0 and Smart Manufacturing, Online. http://www.msc-les.org/ism2021/program/
Nurgazina, J. (2021, November 19). DataVisBlock – Data Analysis and Visualization for Blockchain-based Supply Chain Management [R&D projects dissemination event]. 3rd International Conference on Industry 4.0 and Smart Manufacturing, Online. http://www.msc-les.org/ism2021/program/
Nurgazina, J., Pakdeetrakulwong, U., Moser, T., & Reiner, G. (2021). Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions. Sustainability, 13(8), 4206. https://doi.org/https://doi.org/10.3390/su13084206
Nurgazina, J. (2021, March 23). Traceability of food supply chains with distributed ledger technologies [Conference talk]. Annual Conference of the Austrian Blockchain Center, Online Event. https://www.abc-research.at/conference/
Nurgazina, J., Felberbauer, T., Moser, T., & Reiner, G. (2020). Distributed ledger technology applications for improved traceability of food supply chains. Proceedings of the 27th EurOMA Conference, 532–541. https://warwick.ac.uk/fac/sci/wmg/news-and-events/events/wmgevents/euroma2020/proceedings/1936_exordo-euroma2020-version-1.pdf
Jandl, C., Nurgazina, J., Schöffer, L., Reichl, C., Wagner, M., & Moser, T. (2019, September 9). SensiTrack - A Privacy by Design Concept for industrial IoT Applications. International Conference on Emerging Technologies and Factory Automation (ETFA 2019), Zaragossa,Spain.
Nurgazina, J., Felberbauer, T., Altendorfer, K., & Zeiml, S. (2019). Visualization and Analysis of Customer Provided Forecasts. In M. Putz & A. Schlegel (Eds.), Simulation in Produktion und Logistik 2019 (pp. 445–454). Verlag Wissenschaftliche Scripten. http://www.asim-fachtagung-spl.de/asim2019/papers/43_Proof_121.pdf
Zeiml, S., Altendorfer, K., Felberbauer, T., & Nurgazina, J. (2019). Simulation Based Forecast Data Generation and Evaluation of Forecast Error Measures. Proceedings of the 2019 Winter Simulation Conference. Winter Simulation Conference 2019, National Harbor, Maryland, USA. https://doi.org/10/gh377n