Bio
Dr. Licia Amichi is a researcher within the Location Intelligence Group at Oak Ridge National Laboratory (ORNL), operating under the National Security Sciences Directorate. Her research expertise lies in the advanced modeling and analysis of human mobility behaviors, with a keen interest in understanding deviations from established routine patterns. Her work aims to deepen our understanding of how individuals navigate and interact within diverse environments, offering valuable insights for a wide range of applications.
Dr. Amichi completed her PhD at the French Institute for Research in Computer Science and Automation (INRIA Saclay) and École Polytechnique in France. In addition to her specialization in human mobility, Dr. Amichi has extensive experience in network systems, particularly focusing on spectrum and energy-efficient resource allocation in Long Range Wide Area Networks (LoRaWAN). This work was conducted at the National Institute of Informatics in Tokyo, Japan.
Dr. Amichi's broad research interests include human mobility modeling, geographical data analysis, artificial intelligence, and the optimization of network systems.
Publications
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- L. Amichi, M. Kaneko, E. H. Fukuda, N. El Rachkidy and A. Guitton, "Joint Allocation Strategies of Power and Spreading Factors With Imperfect Orthogonality in LoRa Networks," in IEEE Transactions on Communications, vol. 68, no. 6, pp. 3750-3765, June 2020, doi: 10.1109/TCOMM.2020.2974722.
- L. Amichi, M. Kaneko, N. E. Rachkidy and A. Guitton, "Spreading Factor Allocation Strategy for LoRa Networks Under Imperfect Orthogonality," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-7, doi: 10.1109/ICC.2019.8761235.
- Licia Amichi, Aline Carneiro Viana, Mark Crovella, and Antonio A.F. Loureiro. 2020. Understanding individuals' proclivity for novelty seeking. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '20). Association for Computing Machinery, New York, NY, USA, 314–324. https://doi.org/10.1145/3397536.3422248
- Licia Amichi, Aline Carneiro Viana, Mark Crovella, and Antonio A.F. Loureiro. 2021. From movement purpose to perceptive spatial mobility prediction. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '21). Association for Computing Machinery, New York, NY, USA, 500–511. https://doi.org/10.1145/3474717.3484220
- L. Amichi, A. V. Carneiro, M. Crovella and A. Loureiro, "Revealing an Inherently Limiting Factor in Human Mobility Prediction," in IEEE Transactions on Emerging Topics in Computing, vol. 11, no. 3, pp. 635-649, 1 July-Sept. 2023, doi: 10.1109/TETC.2022.3229088.
- Licia Amichi, Aline C. Viana, Mark Crovella, and Antonio F. Loureiro. 2019. Mobility profiling: Identifying scouters in the crowd. In Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '19 Companion). Association for Computing Machinery, New York, NY, USA, 9–11. https://doi.org/10.1145/3360468.3366771
- Licia Amichi. Understanding individuals' proclivity for novelty-seeking in human mobility. Mobile Computing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAX099⟩. ⟨tel-03627967⟩