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)
Γκίκας Βασίλειος, Καθηγητής
Τηλ: 2107723566 email vgikas@central.ntua.gr
Γραφείο: Πολυτεχνειούπολη Ζωγράφου, Κτήριο Λαμπαδάριο, 2
ος
Απόφοιτος της ΣΑΤΜ, ΕΜΠ (1992), και Διδάκτωρ του Dept. of Geomatics, University of Newcastle upon Tyne,
UK (1996). Το διάστημα 1996-2000 εργάστηκε ως επιστημονικός σύμβουλος στη βιομηχανία πετρελαίου στη
Μ. Βρετανία και τις ΗΠΑ
και ως επιβλέπων σε θέματα γεωδαιτικού εντοπισμού προγραμμάτων γεωφυσικής
έρευνας στην Ευρώπη και τη Δυτική Αφρική. Διετέλεσε σύμβουλος για το σχεδιασμό της γεωδαιτικής υποδομής
της κατασκευής μεγάλων τεχνικών έργων στην Ελλάδα (2001-2004), και Δ/ντής του Τμήματος Τοπογραφικών
Μελετών της ΕΥΔΑΠ ΑΕ (2002-2003). Σήμερα διατελεί αναπληρωτής πρόεδρος της Επιτροπής 4 (
Positioning
and A
pplications) της IAG (International Association of Geodesy) και συνυπεύθυνος της ομάδας εργασίας WG
6.1 “Deformation Measurement and Analysis” της Διεθνούς Ένωσης Τοπογράφων (Int. Federation of Surveyors).
Καθηγητής Τομέα Τοπογραφίας
Δ/ντής Τομέα Τοπογραφίας
Ερευνητικά
ενδιαφέροντα
• δορυφορική γεωδαισία και εφαρμογές συστημάτων GNSS, τεχνικές εντοπισμού, ακριβής δορυφορικός
εντοπισμός, συστήματα πολλαπλών δορυφορικών σχηματισμών, ανάλυση και ποιοτικός έλεγχος
γεωδαιτικών δεδομένων, δέκτες χαμηλού κόστους /
smartphone GNSS, κ.α.
• εντοπισμός και πλοήγηση οχημάτων, σύντηξη ετερογενών γεωδαιτικών αισθητήρων, δίκτυα ασύρματων
αισθητήρων εντοπισμού σε ανοικτούς / κλειστούς χώρους, αδιάλειπτος και συνεργατικός εντοπισμός,
συστήματα κινηματικής χαρτογράφησης, κ.α.
• παρακολούθηση και ανάλυση της στατικής, ημι-στατικής και δυναμικής συμπεριφοράς τεχνικών έργων
και φυσικών διεργασιών έναντι φυσικών και ανθρωπογενών κινδύνων με ετερογενείς αισθητήρες (GNSS,
radar, DIC, συμβατικοί) / συστήματα αυτοματισμού, κ.α.
Μαθήματα
• Μεγάλες Γεωδαιτικές Ασκήσεις Ι, 4ου εξ. (υποχρεωτικό)
• Γεωδαισία V (Δορυφορική Γεωδαισία), 6ου εξ. (υποχρεωτικό)
• Δορυφορική Γεωδαισία και Πλοήγηση, 7ου εξ. (επιλογής)
• Ειδικά Θέματα Δορυφορικής Γεωδαισίας, 8ου εξ. (επιλογής)
• Μεγάλες Ασκήσεις Ανώτερης και Δορυφορικής Γεωδαισίας, 9ου εξ. (επιλογής)
• Θαλάσσια Γεωδαισία, 9ου εξ. (επιλογής)
Επιλεγμένες
δημοσιεύσεις
Bouloukou M. P., Masiero,A. Vettore A., Gikas V. (2021) “UAV UWB Positioning Close to Building Facades:
A Case Study", XXIVth ISPRS Congress, July 4-10, Nice, France
Themistocleous K., Danezis C., Gikas V. (2021) “Monitoring Ground Deformation of Cultural Heritage Sites
Using SAR and Geodetic Techniques: The Case Study of Choirokoitia, Cyprus”, Applied Geomatics 13 (1),
Gabela J., Retscher G., Goel S., Perakis H., Masiero A., Gika
s V., Toth C., Kealy A., Koppányi Z.,
Błaszczak-Bak W., Li Y. and Grejner-Brzezinska D. (2019) “Experimental Evaluation of a UWB based
Cooperative Positioning System for Pedestrians in GNSS Denied Environments”, Sensors 2019, 19, 5274
Kealy A., Goel S., Gikas V., Retscher G., Toth C., Brzezinska D., Lohani B. (2017) “Cooperative
Localization of Unmanned Aerial Systems Using Low Cost GNSS and MEMS Inertial Sensors”, Journal of
Surveying Engineering, Vol. 143(4), 1–18
Clausen P., Gilliéron P-Y., Perakis H., Gikas V., Spyropoulou I. (2017) “Assessment of Positioning Accuracy
of Vehicle Trajectories for Different Road Applications
”, IET Intelligent Transport Systems, Vol. 11(3), pp
113–125
Piniotis G., Gikas V., Mpimis A., Perakis H. (2016) “Deck and Cable Dynamic Testing of a Single-Span
Bridge Using Radar Interferometry and Videometry Measurements
”, Journal of Applied Geodesy, Vol.
10(1), pp 87–94
Gikas V., Perakis H. (2016) “Rigorous Performance Evaluation of Smartphone GNSS/IMU Sensors for ITS
Applications”, SENSORS, Vol. 16(8), 1240, pp 1–21
Υπεύθυνος
επιστημονικών
εκδόσεων
Gikas V., Schwieger V., Zhang L. (2021), “Editorial to the special issue: deformation monitoring”, Applied
Paziewski J.D., Kealy A., Gikas V., Geng J. (2021) “Recent advances in ubiquitous positioning systems for
mobility applications”, Measurement Science and Technology, IOP Publishing Ltd
Dovis F., Ruotsalainen L., Toledo-Moreo R., Kassas ZZM., Gikas V. (2020) “Recent Advancement on the
Use of Global Navigation Satellite System-Based Positioning for Intelligent Transport Systems”, IEEE ITS
Gikas V., Tsakiri M., Pantazis G. (2020) “Special Issue: Selected papers from the Joint International
Symposium on Deformation Monitoring (JISDM 2019)”, SENSORS, MDPI, si/31437
Gikas V., Retscher G., Kahmen H., Neuner H., Rizos C. (2020) “Editorial to the special edition of the JAG
on Deformation Monitoring”, Journal of Applied Geodesy 14 (2), 119-119