Ravelijn

dr. A. Trivella (Alessio)

Assistant Professor of Operations Research
BMS-HBE-IEBIS
Ravelijn 4416
a.trivella@utwente.nl
+31534899750
Business card

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 receivedĀ 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).

Organisations

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)

Publications

Jump to: 2025 | 2023 | 2022 | 2021

2025

An Optimization Framework for Managing Resource Flows in Hubs for Circularity (2025)Circular Economy and Sustainability. Article 135414 (E-pub ahead of print/First online). Wang, J., Trivella, A., Guericke, D. & Yazan, D. M.https://doi.org/10.1007/s43615-025-00592-6

2023

Modeling system dynamics of interacting cruising trains to reduce the impact of power peaks (2023)Expert systems with applications, 230. Article 120650. Trivella, A. & Corman, F.https://doi.org/10.1016/j.eswa.2023.120650Modeling soft unloading constraints in the multi-drop container loading problem (2023)European journal of operational research, 308(1), 336-352. Bonet Filella, G., Trivella, A. & Corman, F.https://doi.org/10.1016/j.ejor.2022.10.033Physical vs Virtual Corporate Power Purchase Agreements: Meeting Renewable Targets Amid Demand and Price Uncertainty (2023)[Working paper › Preprint]. Social Science Research Network (SSRN). Mohseni-Taheri, D., Nadarajah, S. & Trivella, A.https://doi.org/10.2139/ssrn.4520684Meeting Corporate Renewable Power Targets (2023)Management science, 69(1), 491-512. Trivella, A., Mohseni-Taheri, D. & Nadarajah, S.https://doi.org/10.1287/mnsc.2022.4354

2022

Reducing Power Peaks in Railway Traffic Flow Subject to Random Effects (2022)[Working paper › Working paper]. Social Science Research Network (SSRN). Trivella, A. & Corman, F.Enhancing the interaction of railway timetabling and line planning with infrastructure awareness (2022)Transportation research. Part C: Emerging technologies, 142. Article 103805. Fuchs, F., Trivella, A. & Corman, F.https://doi.org/10.1016/j.trc.2022.103805A review of train delay prediction approaches (2022)Journal of Rail Transport Planning and Management, 22. Article 100312. Spanninger, T., Trivella, A., Büchel, B. & Corman, F.https://doi.org/10.1016/j.jrtpm.2022.100312An analysis of power peaks in stochastic models of railway traffic (2022)[Contribution to conference › Paper] 10th Symposium of the European Association for Research in Transportation, hEART 2022. Trivella, A. & Corman, F.Multi-scale optimization of the design of offshore wind farms (2022)Applied energy, 314. Article 118830. Cazzaro, D., Trivella, A., Corman, F. & Pisinger, D.https://doi.org/10.1016/j.apenergy.2022.118830Sustainable and efficient logistics: How optimization transformed Italmondoā€™s cargo loading operations (2022)IFORS news, 17(1), 8-10. Gajda, M., Trivella, A., Mansini, R. & Pisinger, D.An optimization approach for a complex real-life container loading problem (2022)Omega, 107. Article 102559. Gajda, M., Trivella, A., Mansini, R. & Pisinger, D.https://doi.org/10.1016/j.omega.2021.102559

2021

Decision making under uncertainty in public transport networks: The case of stochastic railway traffic control (2021)[Contribution to conference › Abstract] 50th International Conference on Optimization and Decision Science, ODS 2021. Trivella, A., Corman, F. & Eikenbroek, O. A. L.Including stochasticity in railway traffic management models (2021)[Contribution to conference › Abstract] INFORMS Annual Meeting 2021. Corman, F., Trivella, A. & Eikenbroek, O. A. L.

Research profiles

Address

University of Twente

Ravelijn (building no. 10), room 4416
Hallenweg 17
7522 NH Enschede
Netherlands

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