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Tatiana Polishchuk

Senior Associate Professor, Head of Unit

Dr. Tatiana Polishchuk is a Senior Associate Professor at Linkoping University, working in the Academic Excellence in ATM (and UTM) Research group. Tatiana obtained a MSc (2007) in Applied Mathematics and Statistics from the State University of New York at Stony Brook, USA, PhD (2013) in Computer Science from Helsinki University, Finland, and a docentship from Linköping University (2022).

Her research interests include airspace optimization and quantitative assessment, transportation logistics, route planning, remote tower organization and staff scheduling.

Courses

TNSL24 TNK103 TNK104

Publications, projects, CV and more information

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Publications

2025

Anastasia Lemetti, Lothar Meyer, Maximilian Peukert, Tatiana Polishchuk, Christiane Schmidt, Helene Alpfjord Wylde (2025) Predicting Air Traffic Controller Workload using Machine Learning with a Reduced Set of Eye-Tracking Features Transportation Research Procedia, Vol. 88, p. 66-73 (Article in journal) Continue to DOI
Henrik Hardell, Evelyn Otero, Tatiana Polishchuk, Lucie Smetanová (2025) Optimizing air traffic management through point merge procedures: Minimizing delays and environmental impact in arrival operations Journal of Air Transport Management, Vol. 123 (Article in journal) Continue to DOI
Henrik Hardell, Evelyn Otero, Tatiana Polishchuk, Lucie Smetanová (2025) Optimizing air traffic management through point merge procedures: Minimizing delays and environmental impact in arrival operations Journal of Air Transport Management, Vol. 123, Article 102706 (Article in journal) Continue to DOI

2024

Henrik Hardell, Tatiana Polishchuk, Lucie Smetanová (2024) Testing Applicability of Point Merge Systems for Göteborg Landvetter Airport Vol. 2 No. 2 (2024): Proceedings of 12th OpenSky Symposium (Conference paper)
Anastasia Lemetti, Lothar Meyer, Maximilian Peukert, Tatiana Polishchuk, Christiane Schmidt, Helene Alpfjord Wylde (2024) Eye in the Sky: Predicting Air Traffic Controller Workload through Eye Tracking based Machine Learning

Research

Organisation