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dr. A. Trivella (Alessio)

Assistant Professor of Operations Research

About Me

Alessio Trivella is an Assistant Professor of Operations Research at the Industrial Engineering and Business Information Systems (IEBIS) group at the University of Twente (UT). Before joining UT, he obtained bachelor and master degrees in Mathematics from the University of Milan, a PhD in Operations Research from the Department of DTU Management at the Technical University of Denmark, and was a postdoctoral researcher at the Institute for Transport Planning and Systems (IVT) at ETH Zurich.

In his research, Alessio develops optimization models and algorithms for solving complex decision making problems arising in the energy, transportation, and logistics sectors (e.g., operations, planning, and investments), often in collaboration with the industry, using techniques including mathematical programming, network algorithms, and stochastic optimization with focus on approximate dynamic programming.

Alessio has published several papers in well-known scientific journals within operations research, transportation, and energy, including FT50 journals as Management Science and Manufacturing & Service Operations Management. He received the 2020 Early Career Best Paper Award by INFORMS ENRE (Energy, Natural Resources and the Environment), the 2021 Best Paper Award by CEMA (Commodity and Energy Markets Association), and was a 2021 Finalist of the EURO Excellence in Practice Award (EEPA).

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Recent
Trivella, A., & Corman, F. (2022). Reducing Power Peaks in Railway Traffic Flow Subject to Random Effects. Social Science Research Network (SSRN).
Gajda, M. , Trivella, A., Mansini, R., & Pisinger, D. (2022). An optimization approach for a complex real-life container loading problem. Omega (United Kingdom), 107, [102559]. https://doi.org/10.1016/j.omega.2021.102559
Fuchs, F. , Trivella, A., & Corman, F. (2022). Enhancing the interaction of railway timetabling and line planning with infrastructure awareness. Transportation Research Part C: Emerging Technologies, 142, [103805]. https://doi.org/10.1016/j.trc.2022.103805
Trivella, A., & Corman, F. (2022). An analysis of power peaks in stochastic models of railway traffic. Paper presented at 10th Symposium of the European Association for Research in Transportation, hEART 2022, Leuven, Belgium.
Trivella, A., Mohseni-Taheri, D., & Nadarajah, S. (2022). Meeting Corporate Renewable Power Targets. Management science. https://doi.org/10.1287/mnsc.2022.4354
Spanninger, T. , Trivella, A., Büchel, B., & Corman, F. (2022). A review of train delay prediction approaches. Journal of Rail Transport Planning and Management, 22, [100312]. https://doi.org/10.1016/j.jrtpm.2022.100312
Cazzaro, D. , Trivella, A., Corman, F., & Pisinger, D. (2022). Multi-scale optimization of the design of offshore wind farms. Applied energy, 314, [118830]. https://doi.org/10.1016/j.apenergy.2022.118830

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University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

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University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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