Caner Savas

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 33^o ciclo (2017-2020)

Dottorato concluso nel 2021

Profilo

Argomento di ricerca

Carrier-Based Software GNSS Receiver Design

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science

Geo-positioning, Navigation Systems and Remote sensing

Biografia

Caner Savas received his BSc degree in Electrical and Electronics Engineering in 2011 and his MSc degree in the field of Telecommunications in 2014 from Middle East Technical University, Turkey. He worked on different companies as well as a navigation and radar systems engineer. He has been involved in software and hardware implementations of both navigation and radar systems. Currently, he is pursuing his Ph.D. at the Department of Electronics and Telecommunications of the Polytechnic of Turin within the Navigation Signal Analysis and Simulation (NavSAS) research group. His research is focused on the implementation of a carrier-based GNSS receiver software .

Premi e riconoscimenti

At ESA/JRC International Summer School on GNSS 2018 training, the achievement of the 3rd place in the group project competition with the proposal of suggesting a navigation solution for the elderly people in terms of care concept. (2018)

Didattica

Insegnamenti

Corso di laurea magistrale

Satellite navigation systems. A.A. 2020/21, COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING (INGEGNERIA TELEMATICA E DELLE COMUNICAZIONI). Collaboratore del corso

MostraNascondi A.A. passati

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Savas, C.; Falco, G.; Dovis, F. (2021)
A Comparative Performance Analysis of GPS L1 C/A, L5 Acquisition and Tracking Stages under Polar and Equatorial Scintillations. In: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, vol. 57, pp. 227-244. ISSN 0018-9251
Contributo su Rivista
Savas, Caner (2021)
Analysis and Detection of Outliers in GNSS Measurements by Means of Machine Learning Algorithms. relatore: DOVIS, FABIO; , 33. XXXIII Ciclo, P.: 175
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)
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)
Ghobadi, H.; Savas, C.; Spogli, L.; Dovis, F.; Cicone, A.; Cafaro, M. (2020)
A Comparative Study of Different Phase Detrending Algorithms for Scintillation Monitoring. In: 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020, Rome, Italy, 2020, pp. 1-4. ISBN: 978-9-4639-6800-3
Contributo in Atti di Convegno (Proceeding)
Savas, Caner; Dovis, Fabio (2019)
The Impact of Different Kernel Functions on the Performance of Scintillation Detection Based on Support Vector Machines. In: SENSORS, vol. 19, pp. 1-16. ISSN 1424-8220
Contributo su Rivista

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