Rate My Professor Monika Filipovska

Monika Filipovska is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Connecticut, appointed since September 2021. She leads the Advanced Mobility Lab within the Transportation and Urban Engineering group and is affiliated with the Connecticut Transportation Institute. Filipovska received her Ph.D. in Civil and Environmental Engineering, specializing in Transportation Systems Analysis and Planning, from Northwestern University in August 2021 under advisor Hani S. Mahmassani. She also holds an M.S. in the same field from Northwestern University in March 2019 and a B.S. in Engineering (Urban Systems) and Mathematics from New York University Abu Dhabi in May 2017. Her research focuses on dynamic transportation networks, including reliability modeling, path finding, and routing; traffic flow characteristics modeling, simulation, and prediction; intelligent transportation and mobility systems with predictive and prescriptive analytics; applications of emerging vehicle and infrastructure technologies; and transportation applications of big data, machine learning, and artificial intelligence. She advances data-driven vehicle automation, networks, connectivity, mobility developments, and transportation data science for traffic flow prediction, including work on the CTfastrak Data Repository and Analysis project involving automated buses.

Filipovska has earned the Research Excellence Program Award from the University of Connecticut Office of the Vice President for Research in 2022 and an Honorable Mention for the Stella Dafermos Best Paper Award at the 2023 Transportation Research Board Annual Meeting for 'Estimation of Path Travel Time Distributions in Stochastic Time-Varying Networks with Correlations,' co-authored with Hani S. Mahmassani and Archak Mittal. Other honors include third prize for Best Presentation at the 23rd IEEE Intelligent Transportation Systems Conference in 2020, the ILITE Graduate Scholarship Award in 2020, fellowship at the Institute for Pure and Applied Mathematics at UCLA in 2020, CIRTL Scholar and Associate Certificates in 2020 and 2019, and the Walter P. Murphy Fellowship at Northwestern University from 2017 to 2018. Key publications comprise 'Reliable Trajectory-Adaptive Routing Strategies in Stochastic, Time-Varying Networks with Generalized Correlations' (Transportation Research Part C: Emerging Technologies, 2021), 'Traffic Flow Breakdown Prediction using Machine Learning Approaches' (Transportation Research Record, 2020), 'Prediction and Mitigation of Flow Breakdown Occurrence for Weather Affected Networks: Case Study of Chicago, Illinois' (Transportation Research Record, 2019), and contributions to IEEE Transactions on Intelligent Transportation Systems. She teaches courses such as CE 5030 Seminar in Transportation and Urban Engineering, CE 4730/5730 Transportation Planning, and CE 6725 Statistical and Econometric Methods, and has received an NSF EAGER grant for quantum computing applications in transportation networks.