Aliyev Gurban
Gurban Aliyev is a PhD candidate in Artificial Intelligence at the University of Pisa and a research associate at the Institute of Information Science and Technologies (ISTI-CNR), within the KDD Laboratory. He holds an M.Sc. (cum laude) in Data Science and Business Informatics from the University of Pisa, which included an Erasmus+ exchange at Vrije Universiteit Amsterdam.
His research focuses on urban computing, human mobility analytics, and data-driven methods for sustainable, exposure-aware routing systems. Following a research stay at the MRC Epidemiology Unit, University of Cambridge, he continues to collaborate with their team remotely on integrating environmental sensing with city-scale mobility patterns. His recent work has been published in the Mobile Networks and Applications (MONET) journal and presented at international venues, such as MDM 2025 and SSTD 2025.
- Position
- Ph.D. Student
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Room
- C-61
- Floor
- 1
- Gate
- 20
- Google Scholar
- Gurban Aliyev on Google Scholar
- DBLP
- Gurban Aliyev on DBLP
- Gurban Aliyev on LinkedIn
- Gurban Aliyev on Twitter
Projects
Publications
2025
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, “From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process”, in Intelligent Transport Systems, Cham, 2025.
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, “Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing”, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.
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, “Optimization of Exposure-Aware Routing for Vehicles and Pedestrians”, in Proceedings of the 19th International Symposium on Spatial and Temporal Data (SSTD '25), Osaka, Japan, 2025.
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, “Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing”, Mobile Networks and Applications, 2025.
2023
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, “Analysis, Prediction and Mitigation of Exposure to Vehicular Air Pollution Based on Multi-Source Urban Data”, in SEBD 2023: 31st Symposium on Advanced Database Systems, Galzignano Terme (PD), Italy, July 2–5, 2023, 2023.