dr. A. Trivella (Alessio)

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).

Business & Economics

# Power Purchase Agreement
# Prediction
# Railway
# Sourcing
# Train

Mathematics

# Event-Driven
# Prediction
# Railway

Faculty of Behavioural, Management and Social Sciences (BMS), Industrial Engineering & Business Information Systems (IEBIS)

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.

Gajda, M. , Trivella, A., Mansini, R., & Pisinger, D. (2022). Sustainable and efficient logistics: How optimization transformed Italmondo’s cargo loading operations. IFORS news, 17(1), 8-10.

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

See all research output of this employee

View my profile

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.