Research output per year
Research output per year
Personal profile
Personal information
Rosario Paradiso is assistant professor at the department of Operations Analytics of the Vrije Universiteit Amsterdam. He holds a PhD in Operations Research from the University of Calabria (2019).
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No ancillary activities
Ancillary activities are updated daily
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Dive into the research topics where Rosario Paradiso is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Lookahead scenario relaxation for dynamic time window assignment in service routing
Paradiso, R., Roberti, R. & Ulmer, M., 1 Feb 2025, In: Transportation Research. Part B, Methodological. 192, 103137.Research output: Contribution to Journal › Article › Academic › peer-review
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Exact and Approximate Schemes for Robust Optimization Problems with Decision-Dependent Information Discovery
Paradiso, R., Georghiou, A., Dabia, S. & Tönissen, D., 2025, (Accepted/In press) In: INFORMS Journal on Computing. 21 p.Research output: Contribution to Journal › Article › Academic › peer-review
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The role of individual compensation and acceptance decisions in crowdsourced delivery
Çınar, A. B., Dullaert, W., Leitner, M., Paradiso, R. & Waldherr, S., 1 Dec 2024, In: Transportation Research Part C: Emerging Technologies. 169, 21 p., 104834.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Optimization models for the installation planning of offshore wind farms
Amorosi, L., Fischetti, M., Paradiso, R. & Roberti, R., 16 Jun 2024, In: European Journal of Operational Research. 315, 3, p. 1182-1196 15 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile73 Downloads (Pure) -
Exact and Approximate Schemes for Robust Optimization Problems with Decision Dependent Information Discovery
Paradiso, R., Georghiou, A., Dabia, S. & Tönissen, D., 8 Aug 2022, arXiv, p. 1-44, 44 p.Research output: Working paper / Preprint › Preprint › Professional
Open AccessFile76 Downloads (Pure)
Courses
Projects
- 2 Finished
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NWO - Accelerator Grant for project: Sensory data for sustainable logistics
1/07/21 → 30/06/22
Project: Research
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Sensing Logistics (SensLog)
Paradiso, R. (Project Researcher) & Dullaert, W. (Principal Investigator)
1/02/18 → 31/05/21
Project: Research
Activities
- 1 Lecture / Presentation
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Van Sensor Data naar Datagedreven Logistiek
WEH Dullaert (Speaker) & Rosario Paradiso (Speaker)
16 Nov 2022Activity: Lecture / Presentation › Professional
Prizes / Grants
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Junior Education Award - School of Business and Economics
Paradiso, Rosario (Recipient), 2022
Prize / Grant: Prize › Academic
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Project: Sensors for Sustainable Logistics, Amount: €100.000 (2021-2022)
Dabia, Said (Recipient), Dullaert, Wout (Recipient) & Paradiso, Rosario (Recipient), 2021
Prize / Grant: Grant › Academic
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TSL Best Paper Award 2020
Roberti, R. (Recipient), Dullaert, W. (Recipient) & Paradiso, R. (Recipient), 2020
Prize / Grant: Prize › Academic
Datasets
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Test Instances Paper "Analysis of Effective Sets of Routes for the Split-Delivery Periodic Inventory Routing Problem"
Paradiso, R. (Creator), OR-Brescia, 2022
DOI: 10.1016/j.ejor.2021.05.029, https://drive.google.com/file/d/1KyrYcyjjREk74zC66vaj3tiG6kBvEYZU/view
Dataset / Software: Dataset
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Test Instances Paper "Exact and Approximate Schemes for Robust Optimization Problems with Decision Dependent Information Discovery"
Paradiso, R. (Creator), Vrije Universiteit Amsterdam, 2022
DOI: 10.48550/arXiv.2208.04115, https://drive.google.com/open?id=1dU6R-g3cdATlI5rsv9B4IKte-Z6AaUX5&authuser=r.paradiso%40vu.nl&usp=drive_fs
Dataset / Software: Dataset
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Test Instances Paper "An Exact Solution Framework for Multi-Trip Vehicle Routing Problems with Time Windows"
Roberti, R. (Creator), Dullaert, W. (Creator) & Paradiso, R. (Creator), Vrije Universiteit, 2020
DOI: 10.1287/opre.2019.1874, https://drive.google.com/file/d/1nzoMQWutoFT6LocVjwfwJf0AlfWIqMkg/view?usp=sharing
Dataset / Software: Dataset