dr. A. Trivella (Alessio)

Assistant Professor of Operations Research

About Me

I am 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, I 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 my research, I develop 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.

I have published my research in well-known scientific journals within operations research, transportation, and energy, including FT50 journals as Management Science and Manufacturing & Service Operations Management. I 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).


My main research interests are:

  • Approximate dynamic programming/reinforcement learning algorithms for solving high-dimensional stochastic dynamic optimization problems
  • Mathematical optimization models and algorithms for the energy sector: Energy operations and investments with focus on commodity and energy production (including renewable energy), energy systems and markets, energy real options
  • Mathematical optimization models and algorithms for logistics and transportation: bin-packing and container loading problems, commodity flows in network, railway scheduling and traffic control, energy efficient transport operations (e.g., train trajectory optimization)


Bonet Filella, G. , Trivella, A., & Corman, F. (2023). Modeling soft unloading constraints in the multi-drop container loading problem. European journal of operational research, 308(1), 336-352. https://doi.org/10.1016/j.ejor.2022.10.033
Trivella, A., Mohseni-Taheri, D., & Nadarajah, S. (2023). Meeting Corporate Renewable Power Targets. Management science, 69(1), 491-512. https://doi.org/10.1287/mnsc.2022.4354
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, Article 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, Article 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.
Spanninger, T. , Trivella, A., Büchel, B., & Corman, F. (2022). A review of train delay prediction approaches. Journal of Rail Transport Planning and Management, 22, Article 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, Article 118830. https://doi.org/10.1016/j.apenergy.2022.118830
Corman, F. , Trivella, A. , & Eikenbroek, O. A. L. (2021). Including stochasticity in railway traffic management models. Abstract from INFORMS Annual Meeting 2021, Anaheim Virtual, California, United States.
Trivella, A., Corman, F. , & Eikenbroek, O. A. L. (2021). Decision making under uncertainty in public transport networks: The case of stochastic railway traffic control. Abstract from 50th International Conference on Optimization and Decision Science, ODS 2021, Rome, Italy.

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 4416
Hallenweg 17
7522NH  Enschede
The Netherlands

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  4416
P.O. Box 217
7500 AE Enschede
The Netherlands

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