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Zahra Abbasalinejadkolaei is a PhD student at Linköping University, specializing in Machine Learning and statistical modeling to enhance roadwork environments. Her research focuses on analyzing repeated measures data, including vehicle path, speed, and acceleration specifically in roadwork contexts. She aims to analyze trends in driver behavior under varying time conditions and develop predictive models that guide dynamic traffic monitoring, ultimately enhancing the design of adaptive, risk-sensitive roadwork systems. In addition to her research, she serves as a Teaching Assistant in Probability Statistics and Mathematical Statistics, helping students grasp essential concepts in estimation, inference, and the application of statistical methods to real-world problems. Her research is funded by the Swedish Transport Administration and she is a member of the Traffic Safety Traffic Systems research group at the Swedish National Road Transport Research Institute (VTI).
Linköping University • Linköping, Sweden
Conducting research in Machine Learning and statistical modeling for roadwork safety.
Linköping University • Linköping, Sweden
Teaching Probability Statistics and Mathematical Statistics.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.