Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Global Navigation Satellite Systems as Signals of Opportunity for Environmental Applications: Reflectometry and Scintillation (Abstract)
Tutors:
Fabio Dovis
Research presentation:
Video presentation PosterProfile
Research topic
Theoretical, simulation and experimental results on scintillation detection and mitigation.
Research interests
Biography
Awards and Honors
- African Space Leaders Award at the 3rd African Space Generation Workshop. The Space Generation Advisory Council, in support of the United Nations Programme on Space Applications, is a non-governmental organisation and professional network which "aims to bring the views of students and young space professionals to the United Nations, space industry and other organisations”. (2021)
- Best workshop presentation award at the 8th Annual IEEE International Conference on Wireless for Space and Extreme Environments (WISEE 2020). (2021)
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Imam, RAYAN MOHAMED ELMUBARAK ALI (2022)
Global Navigation Satellite Systems as Signals of Opportunity for Environmental Applications: Reflectometry and Scintillation. relatore: DOVIS, FABIO; , 34. XXXIV Ciclo, P.: 199
Doctoral Thesis - Imam, Rayan; Savas, Caner; Dovis, Fabio (2021)
Detecting Phase Scintillation at High Latitudes Using Ionospheric Scintillation Monitoring Records and Machine Learning Techniques. In: 2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), Cleveland, OH, USA, 12-14 Oct. 2021, pp. 37-42. ISBN: 978-1-6654-0371-9
Contributo in Atti di Convegno (Proceeding) - Imam, R.; Dovis, F. (2020)
Distinguishing Ionospheric Scintillation from Multipath in GNSS Signals Using Bagged Decision Trees Algorithm. In: 8th Annual IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2020, Vicenza, Italy, 2020, pp. 83-88. ISBN: 978-1-7281-6451-9
Contributo in Atti di Convegno (Proceeding) - Dovis, F.; Imam, R.; Qin, W.; Savas, C.; Visser, H. (2020)
Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing. In: 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain, Spain, 4-8 May 2020, pp. 9190-9194. ISSN 1520-6149. ISBN: 978-1-5090-6631-5
Contributo in Atti di Convegno (Proceeding) - Imam, R.; Pini, M.; Marucco, G.; Dominicir, F.; Dovis, F. (2020)
UAV-based GNSS-R for water detection as a support to flood monitoring operations: A feasibility study. In: APPLIED SCIENCES, vol. 10. ISSN 2076-3417
Contributo su Rivista - Favenza, A.; Imam, R.; Dovis, F.; Pini, M. (2019)
Detecting water using UAV-based GNSS-Reflectometry data and Artificial Intelligence. In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2019, University of Naples - Department of Agricultural Sciences, ita, 2019, pp. 7-12. ISBN: 978-1-7281-3611-0
Contributo in Atti di Convegno (Proceeding) - Imam, Rayan; Pini, Marco; Marucco, Gianluca; Dominici, Fabrizio; Dovis, Fabio (2019)
Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations. In: 2019 International Conference on Localization and GNSS (ICL-GNSS), Nuremberg, Germany, 4-6 June 2019, pp. 1-7. ISSN 2325-0771. ISBN: 978-1-7281-2445-2
Contributo in Atti di Convegno (Proceeding)