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Welcome to my personal website. I am a researcher at the Institute of Geodynamics of the National Observatory of Athens since 2011. I graduated in 2001 from the Faculty of Geology of the University of Athens, where I chose Seismology as the principal subject of my BSc degree. Then I decided to improve my background in the field of Geodynamics and in 2003 I was awarded MSc in Space Techniques relating to Geosciences at the Department of Geophysics, University of Athens. After some years working in the private sector at geological engineering companies, I started my PhD at the Faculty of Geology of the University of Athens under the supervision of Prof. Evangelos Lagios. The research topic concerned the application of joint Space Techniques and Seismological research to study the ground deformation and the tectonic behavior of the broader area of central Ionian Islands (Greece). The methodology that was adopted was based on repeated measurements of local geodetic GPS networks which have been deployed in Cephalonia and Zakynthos Islands, while for a better correlation of the results from the GPS measurements, Differential SAR Interferometry was also applied as a supplementary technique. I defended my PhD thesis in 2009 and received the top grade. Following my PhD, I worked again in the private sector at companies involved with Earth Observation and Geographic Information Systems (GIS), as well as participated in a number of funded projects related to tectonic geodesy and seismic hazard as a researcher. In 2011 I was elected Assistant Researcher at the Institute of Geodynamics of the National Observatory of Athens and in 2016 I was promoted to Associate Researcher.

The focus of my research is tectonic geodesy and more specifically the use of GPS measurements to constrain crustal deformation and strain rate patterns, investigate coseismic and postseismic processes, as well as to quantify potential seismic activity so as to refine seismic hazard estimates. I facilitate quantification of motions associated with earthquakes and deformation related to the earthquake cycle using both conventional and high-rate GPS data along with seismology. My research activities include also the development of Ground Motion Prediction Equations (GMPE) through nonlinear regression analyses and their incorporation into probabilistic seismic hazard analysis and earthquake‐induced landslide hazard assessment. A large part of my work consists of processing the data from over 200 continuously recording GPS stations including all the GPS stations of the permanent network of the Institute of Geodynamics, as well as several other stations throughout Greece belonging to private and state-owned companies, scientific projects and consortiums. Details on the GPS data processing can be found at the Chousianitis et al. (2015) JGR paper under the Publications tab.

This site presents some details of my research, a short curriculum vitae as well as a list of my publications in peer-reviewed Science Citation Index journals.

GPS seismology

A fundamental prerequisite for a better understanding of the rupture behavior of every active zone that hosts moderate and major earthquakes is the assessment of the finite fault slip model. This also constitutes an essential input for further research on the preseismic and postseismic behavior of the causative fault through the earthquake cycle. Toward this goal, teleseismic body and surface waves have been commonly used to invert for rupture finiteness. However, moderate events comprise the limit for the teleseismic modeling as the data are usually quite noisy and the source is not large enough to observe the details of the finiteness in the typical frequency range used at teleseismic distances (0.5–0.01 Hz). As a consequence, additional constraints brought by near-field information are critical to perform a robust finite-fault modeling. In this context, geodetic data by means of dynamic and static GPS displacements can greatly improve the imaging of the rupture history by mitigating the trade-off between parameters describing the spatial and temporal distribution of slip. Due to the complementary nature of the different data types on the spatial and temporal resolution of the faulting process, nowadays joint inversions are considered a prerequisite for the generation of reliable source rupture models not only for moderate events, but for major events as well. In this context, we employed the simulated annealing algorithm of Ji et al. (2002), which searches a bounded range of parameters for slip, variable rupture velocity, and rise time at each subfault along a fault plane, to infer the rupture process of the 2015 Lefkada earthquake (Mw=6.5). We jointly inverted near-source static and dynamic GPS displacements, strong motion, and teleseismic waveforms in an effort to image the slip model of the aforementioned moderate event. Utilizing a comprehensive data set, we managed to put tight constraints on the rupture pattern, overcoming the problem of limited resolution that arises from the use of each data set alone.

Related Publications

Chousianitis, K., & Konca, A.O., 2021. Rupture Process of the 2020 Mw7.0 Samos Earthquake and its Effect on Surrounding Active Faults. Geophysical Research Letters, 48, e2021GL094162.

Chousianitis, K., & Konca, A. O., 2019. Intraslab deformation and rupture of the entire subducting crust during the 25 October 2018 Mw 6.8 Zakynthos earthquake. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL085845.

Chousianitis, K., & Konca, A. O., 2018. Coseismic slip distribution of the 12 June 2017 Mw = 6.3 Lesvos earthquake and imparted static stress changes to the neighboring crust. Journal of Geophysical Research, 123, 8926-8936.

Chousianitis, K., Konca, A. O., Tselentis, G.-A., Papadopoulos, G. A., Gianniou, M., 2016. Slip model of the 17 November 2015 Mw = 6.5 Lefkada earthquake from the joint inversion of geodetic and seismic data. Geophysical Research Letters, 43, 7973-7981.

Ganas, A., Cannavo, F., Chousianitis, K., Kassaras, I., Drakatos, G., 2015. Displacements recorded on continuous GPS stations following the 2014 M6 Cephalonia (Greece) earthquakes: dynamic characteristics and kinematic implications. Acta Geodynamica et Geomaterialia, 12(1), 5-27.

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Strain rate modeling from GPS

The use of high-quality velocity fields derived from dense Global Positioning System (GPS) networks nowadays have become essential in understanding how the Earth's crust deforms since they allow us to measure with confidence the way this deformation, or in other words strain, occurs. In this context, so far we have refined the understanding of the strain distribution and accumulation within central Greece using one-dimensional strain rates derived from rates of baseline length changes and two dimensional strain and rotation rate tensors (i.e. the symmetric and antisymmetric part of the velocity gradient tensor) by discretizing the study area using Delaunay triangulation. The former approach consisted in estimating strain rates from GPS baseline vectors, given that knowing the yearly rate of change between stations and their relative distances (baseline length), the calculation of 1-D strain per year (ΔL/L) is straightforward. For the latter approach we discretized the study area into a grid of, as much as possible, equilateral triangles using the Delaunay triangulation and applied singular value decomposition to solve the linear least-squares problem and generate the velocity gradient tensor along with the associated errors (diagonal elements of the covariance matrix). Eventually, we compared with geological data to constrain the present-day kinematics of the major structural units of central Greece, revealing the different kinematic regimes that are present in this region. A more robust approach was utilized throughout mainland Greece to evaluate the two-dimensional strain and rotation rate tensors, map the dilatation and maximum shear strain rates and as a result provide important constraints on the kinematics of deformation. This was achieved by constructing a uniform grid and using the horizontal velocities of ~100 cGPS stations to invert for the two-dimensional velocity gradient tensor by applying the distance weighted approach developed by Shen et al. (1996). This method models strain rates as continuous functions and provides an interpolated velocity gradient field that accounts for velocity uncertainties and network geometry. Subsequently, the calculated geodetic strain rates were translated into moment rates to facilitate a comparison with seismic energy release within the study area which encloses some of the most hazardous active structures of Greece. It has been well demonstrated that detailed geodetic monitoring can provide the basis for putting additional constraints on earthquake occurrence rate estimates and long-term seismic hazard. In this context, we performed geodesy-based and earthquake-based calculations to evaluate the regional earthquake moment production keeping in mind that while seismology provides mainly information about the seismic component of the deformation field, geodesy is able to sample both seismic and aseismic strain accumulation. Finally, we compared GPS- and earthquake-derived moment rates to evaluate the consistency of the contemporary deformation field with earthquake activity.

Related Publications

Chousianitis, K., Ganas, A., Evangelidis, C.P., 2015. Strain and rotation rate patterns of mainland Greece from continuous GPS data and comparison between seismic and geodetic moment release. Journal of Geophysical Research, 120, 3909-3931.

Chousianitis, K., Ganas, A., Gianniou, M., 2013. Kinematic interpretation of present-day crustal deformation in central Greece from continuous GPS measurements. Journal of Geodynamics, 71, 1-13.

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Ground Motion Prediction Equations (GMPE)

A ground-motion prediction equation (GMPE) is a mathematical model that relates a dependent parameter to independent variables which characterize the seismic source, the propagation path of the seismic waves, and the local site conditions at a particular site of interest. Since these relations provide estimates of the expected ground-motion triggered due to a specific earthquake scenario, they are especially useful in seismic hazard assessment and earthquake-resistant design. They are required to develop ground-motion hazard curves and are essential in either deterministic or probabilistic approaches, while are widely used for evaluation of the potential seismic performance of engineering structures. For the definition of a GMPE relative to a ground-motion parameter we basically follow a two-step regression approach proposed by Joyner and Boore (1991, 1993) adopting, however, some procedural variations. The use of the two-step procedure is aimed at separating the calculation of the coefficients for the terms pertaining to the energy released by events from those accounting for the shaking energy attenuation with distance. For the development of our GMPEs, we subdivide our dataset into a training and a validation subset. We use the training dataset to obtain the regression coefficients, and the validation dataset to compare the effectiveness of the derived models in predicting the ground-motion parameters. After each regression, we calculate Student’s test t values to assess the significance of the obtained parameters. We evaluate the goodness of fit through the efficiency coefficient of Nash and Sutcliffe (1970), and the closeness of error distribution to normality through the LH parameter introduced by Scherbaum et al. (2004).

Related Publications

Del Gaudio, V., Pierri, P., Chousianitis, K., 2019. Influence of site response and focal mechanism on the performance of peak ground motion prediction equations for the Greek region. Soil Dynamics and Earthquake Engineering, 125, 105745.

Chousianitis, K., Del Gaudio, V., Pierri, P., Tselentis, G.‐A., 2018. Regional ground‐motion prediction equations for amplitude‐, frequency response‐, and duration‐based parameters for Greece. Earthquake Engineering and Structural Dynamics, 47, 2252-2274.

Chousianitis, K., Del Gaudio, V., Kalogeras, I., Ganas, A., 2014. Predictive model of Arias intensity and Newmark displacement for regional scale evaluation of earthquake-induced landslide hazard in Greece. Soil Dynamics and Earthquake Engineering, 65, 11-29.

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Earthquake-induced landslide hazard assessment

It is widely recognized that landslides are one of the most damaging collateral effects associated with seismic shaking within a certain distance from the seismogenic source. Thus it is of great importance the assessment of those sites that can potentially undergo shaking capable of inducing activation of slope failures in a given time interval. In this context, we evaluated the earthquake-induced landslide hazard of Greece by means of a parametric time probabilistic approach developed by Del Gaudio et al. (2003). This approach takes into account the characteristics of the seismicity of a given area and estimates the resistance required for slopes to keep their failure probability below a fixed value. The implementation of this time probabilistic approach first quantifies the expected level of seismic shaking in terms of Arias intensity, then the slope strength demand is represented through the slope critical acceleration, and the conditions for earthquake landslide triggering are derived from the estimated amount of Newmark displacement. The methodology ultimately estimates the critical acceleration that slopes should have in order to limit (within a pre-fixed threshold) the probability that Newmark displacement will exceed a critical value within a given time period. The derived critical acceleration values are consequently representative of the slope strength demand in order to keep the future earthquake-induced slope failure probability below a fixed limit in the time interval considered.

Related Publications

Chousianitis, K., Del Gaudio, V., Sabatakakis, N., Kavoura, K., Drakatos, G., Bathrellos, G.D., Skilodimou, H.D., 2016. Assessment of earthquake-induced landslide hazard in Greece: From Arias Intensity to spatial distribution of slope resistance demand. Bulletin of the Seismological Society of America, 106 (1), 174-188.

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Coulomb stress modeling

Earthquakes on fault planes can trigger subsequent earthquakes at short distances from the hypocenter by transferring static stresses. Stress transfer can be modeled assuming that failure of the crust occurs by shear, so that the mechanics of the process can be approximated by the Okada (1992) expressions for the displacement and strain fields due to a finite rectangular source in an elastic, homogeneous and isotropic half-space. We compute static Coulomb stress changes (ΔCFF) to investigate the loaded and relaxed volumes of the neighboring crust using uniform or variable slip models and assuming various scenarios for resolving the stress changes either on optimally oriented planes according to the regional tectonic stress field or on planes of fixed orientation.

Related Publications

Kontoes, Ch., Alatza, S., Chousianitis, K., Svigkas, N., Loupasakis, C., Atzori, S., Apostolakis, A., 2022. Coseismic Surface Deformation, Fault Modeling, and Coulomb Stress Changes of the March 2021 Thessaly, Greece, Earthquake Sequence Based on InSAR and GPS Data. Seismological Research Letters, 93(5), 2584-2598.

Chousianitis, K., & Konca, A.O., 2021. Rupture Process of the 2020 Mw7.0 Samos Earthquake and its Effect on Surrounding Active Faults. Geophysical Research Letters, 48, e2021GL094162.

Chousianitis, K., & Konca, A. O., 2018. Coseismic slip distribution of the 12 June 2017 Mw = 6.3 Lesvos earthquake and imparted static stress changes to the neighboring crust. Journal of Geophysical Research, 123, 8926-8936.

Ganas, A., Roumelioti, Z., Karastathis, V., Chousianitis, K., Moshou, A., Mouzakiotis, E., 2014. The Lemnos 8 January 2013 (Mw=5.7) earthquake: fault slip, aftershock properties and static stress transfer modeling in the north Aegean Sea. Journal of Seismology, 18(3), 433-455.

Ganas, A., Chousianitis, K., Batsi, E., Kolligri, M., Agalos, A., Chouliaras, G., Makropoulos, K., 2013. The January 2010 Efpalion earthquakes (Gulf of Corinth, Central Greece): Earthquake interactions and blind normal faulting. Journal of Seismology, 17(2), 465-484.

Ganas, A., Roumelioti Z., Chousianitis K., 2012. Static stress transfer from the May 20, 2012, M 6.1 Emilia-Romagna (northern Italy) earthquake using a co-seismic slip distribution model. Annals of Geophysics, 55(4), 655-662.

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Publications List (Peer-reviewed SCI Journals)

Send me an email for any that you do not have access to and I will happily provide a copy for personal educational purposes.

**2022**
Kontoes, Ch., Alatza, S., Chousianitis, K., Svigkas, N., Loupasakis, C., Atzori, S., Apostolakis, A., 2022. Coseismic Surface Deformation, Fault Modeling, and Coulomb Stress Changes of the March 2021 Thessaly, Greece, Earthquake Sequence Based on InSAR and GPS Data. Seismological Research Letters, 93(5), 2584-2598. https://doi.org/10.1785/0220210112

Lazos, I., Sboras, S., Chousianitis, K., Kondopoulou, D., Pikridas, C., Bitharis, S., Pavlides, S., 2022. Temporal evolution of crustal rotation in the Aegean region based on primary geodetically-derived results and palaeomagnetism. Acta Geodaetica et Geophysica, 57, 317-334. https://doi.org/10.1007/s40328-022-00379-3

**2021**
Chousianitis, K., & Konca, A.O., 2021. Rupture Process of the 2020 Mw7.0 Samos Earthquake and its Effect on Surrounding Active Faults. Geophysical Research Letters, 48, e2021GL094162. https://doi.org/10.1029/2021GL094162

Karpouza, M., Chousianitis, K., Bathrellos, G.D., Skilodimou, H.D., Kaviris, G., Antonarakou, A., 2021. Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis. Natural Hazards, 109, 637-669. https://doi.org/10.1007/s11069-021-04852-0

Lazos, I., Sboras, S., Chousianitis, K., Bitharis, S., Mouzakiotis, E., Karastathis, V., Pikridas, C., Fotiou, A., Galanakis, D., 2021. Crustal deformation analysis of Thessaly (central Greece) before the March 2021 earthquake sequence near Elassona-Tyrnavos (northern Thessaly). Acta Geodynamica et Geomaterialia, 18(3), 379-385. doi:10.13168/AGG.2021.0026

Chousianitis, K., Papanikolaou, X., Drakatos, G., Tselentis G.-A., 2021. NOANET: A Continuously Operating GNSS Network for Solid-Earth Sciences in Greece. Seismological Research Letters, 92 (3), 2050-2064. https://doi.org/10.1785/0220200340

**2020**
Cirella, A., Romano, F., Avallone, A., Piatanesi, A., Briole, P., Ganas, A., Theodoulidis, N., Chousianitis, K., Volpe, M., Bozionellos, G., Selvaggi, G., Lorito, S., 2020. The 2018 Mw 6.8 Zakynthos (Ionian Sea, Greece) earthquake: seismic source and local tsunami characterization. Geophysical Journal International, 221 (2), 1043-1054. https://doi.org/10.1093/gji/ggaa053

**2019**
Chousianitis, K., & Konca, A. O., 2019. Intraslab deformation and rupture of the entire subducting crust during the 25 October 2018 Mw 6.8 Zakynthos earthquake. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL085845

Del Gaudio, V., Pierri, P., Chousianitis, K., 2019. Influence of site response and focal mechanism on the performance of peak ground motion prediction equations for the Greek region. Soil Dynamics and Earthquake Engineering, 125, 105745. https://doi.org/10.1016/j.soildyn.2019.105745

Skilodimou, H.D., Bathrellos, G.D., Chousianitis, K., Youssef, A.M., Pradhan, B., 2019. Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study. Environmental Earth Sciences, 78, 47. https://doi.org/10.1007/s12665-018-8003-4

**2018**
Chousianitis, K., & Konca, A. O., 2018. Coseismic slip distribution of the 12 June 2017 Mw = 6.3 Lesvos earthquake and imparted static stress changes to the neighboring crust. Journal of Geophysical Research, 123, 8926-8936. https://doi.org/10.1029/2018JB015950

Chousianitis, K., Del Gaudio, V., Pierri, P., Tselentis, G.‐A., 2018. Regional ground‐motion prediction equations for amplitude‐, frequency response‐, and duration‐based parameters for Greece. Earthquake Engineering and Structural Dynamics, 47, 2252-2274. https://doi.org/10.1002/eqe.3067

**2017**
Bathrellos, G.D., Skilodimou, H.D., Chousianitis, K., Youssef, A.M., Pradhan, B., 2017. Suitability estimation for urban development using multi-hazard assessment map. Science of the Total Environment, 575, 119-134. https://doi.org/10.1016/j.scitotenv.2016.10.025

**2016**
Chousianitis, K., Konca, A. O., Tselentis, G.-A., Papadopoulos, G. A., Gianniou, M., 2016. Slip model of the 17 November 2015 Mw=6.5 Lefkada earthquake from the joint inversion of geodetic and seismic data. Geophysical Research Letters, 43, 7973-7981. https://doi.org/10.1002/2016GL069764

Chousianitis, K., Del Gaudio, V., Sabatakakis, N., Kavoura, K., Drakatos, G., Bathrellos, G.D., Skilodimou, H.D., 2016. Assessment of earthquake-induced landslide hazard in Greece: From Arias Intensity to spatial distribution of slope resistance demand. Bulletin of the Seismological Society of America, 106 (1), 174-188. https://doi.org/10.1785/0120150172

**2015**
Chousianitis, K., Ganas, A., Evangelidis, C.P., 2015. Strain and rotation rate patterns of mainland Greece from continuous GPS data and comparison between seismic and geodetic moment release. Journal of Geophysical Research, 120, 3909-3931. https://doi.org/10.1002/2014JB011762

Ganas, A., Cannavo, F., Chousianitis, K., Kassaras, I., Drakatos, G., 2015. Displacements recorded on continuous GPS stations following the 2014 M6 Cephalonia (Greece) earthquakes: dynamic characteristics and kinematic implications. Acta Geodynamica et Geomaterialia, 12(1), 5-27. doi:10.13168/AGG.2015.0005

**2014**
Chousianitis, K., Del Gaudio, V., Kalogeras, I., Ganas, A., 2014. Predictive model of Arias intensity and Newmark displacement for regional scale evaluation of earthquake-induced landslide hazard in Greece. Soil Dynamics and Earthquake Engineering, 65, 11-29. https://doi.org/10.1016/j.soildyn.2014.05.009

Ganas, A., Roumelioti, Z., Karastathis, V., Chousianitis, K., Moshou, A., Mouzakiotis, E., 2014. The Lemnos 8 January 2013 (Mw=5.7) earthquake: fault slip, aftershock properties and static stress transfer modeling in the north Aegean Sea. Journal of Seismology, 18(3), 433-455. https://doi.org/10.1007/s10950-014-9418-3

**2013**
Chousianitis, K., Ganas, A., Gianniou, M., 2013. Kinematic interpretation of present-day crustal deformation in central Greece from continuous GPS measurements. Journal of Geodynamics, 71, 1-13. https://doi.org/10.1016/j.jog.2013.06.004

Ganas, A., Chousianitis, K., Batsi, E., Kolligri, M., Agalos, A., Chouliaras, G., Makropoulos, K., 2013. The January 2010 Efpalion earthquakes (Gulf of Corinth, Central Greece): Earthquake interactions and blind normal faulting. Journal of Seismology, 17(2), 465-484. https://doi.org/10.1007/s10950-012-9331-6

Pavlou, K., Kaviris, G., Chousianitis, K., Drakatos, G., Kouskouna, V., Makropoulos, K., 2013. Seismic hazard assessment in Polyphyto Dam area (NW Greece) and its relation with the ‘unexpected’ earthquake of 13 May 1995 (Ms=6.5, NW Greece). Natural Hazards and Earth System Sciences, 13(1), 141-149. https://doi.org/10.5194/nhess-13-141-2013

Drakatos, G., Paradissis, D., Anastasiou, D., Elias, P., Marinou, A., Chousianitis, K., Papanikolaou, X., Zacharis, E., Argyrakis, P., Papazissi, K., Makropoulos, K., 2013. Joint approach using satellite techniques for slope instability detection and monitoring. International Journal of Remote Sensing, 34(6), 1879-1892. https://doi.org/10.1080/2150704X.2012.731089

Bathrellos, G.D., Gaki-Papanastassiou, K., Skilodimou, H.D., Skianis, G.A., Chousianitis, K.G., 2013. Assessment of rural community and agricultural development using geomorphological-geological factors and GIS in the Trikala prefecture (Central Greece). Stochastic Environmental Research and Risk Assessment, 27(2), 573-588. https://doi.org/10.1007/s00477-012-0602-0

**2012**
Ganas, A., Roumelioti Z., Chousianitis K., 2012. Static stress transfer from the May 20, 2012, M 6.1 Emilia-Romagna (northern Italy) earthquake using a co-seismic slip distribution model. Annals of Geophysics, 55(4), 655-662. https://doi.org/10.4401/ag-6176

Papadimitriou, P., Chousianitis, K., Agalos, A., Moshou, A., Lagios, E., Makropoulos, K., 2012. The spatially extended 2006 April Zakynthos (Ionian Islands, Greece) seismic sequence and evidence for stress transfer. Geophysical Journal International, 190(2), 1025-1040. https://doi.org/10.1111/j.1365-246X.2012.05444.x

Bathrellos, G.D., Gaki-Papanastassiou, K., Skilodimou, H.D., Papanastassiou, D., Chousianitis, K.G., 2012. Potential suitability for urban planning and industry development using natural hazard maps and geological-geomorphological parameters. Environmental Earth Sciences, 66(2), 537-548. https://doi.org/10.1007/s12665-011-1263-x

**2007**
Lagios, E., Sakkas, V., Papadimitriou, P., Damiata, B.N., Parcharidis, I., Chousianitis, K., Vassilopoulou, S., 2007. Crustal deformation in the Central Ionian Islands (Greece): Results from DGPS and DInSAR analyses (1995-2006). Tectonophysics, 444, 119-145. https://doi.org/10.1016/j.tecto.2007.08.018 

Curriculum

Education

PhD Tectonic Geodesy (2009), University of Athens, Greece
MSc Geophysics-Seismology (2003), University of Athens, Greece
BSc Geology (2001), University of Athens, Greece

Employment

Senior Researcher (2020 - present), Institute of Geodynamics, National Observatory of Athens
Associate Researcher (2016 - 2020), Institute of Geodynamics, National Observatory of Athens
Assistant Researcher (2011-2016), Institute of Geodynamics, National Observatory of Athens
PhD Geologist (2011), Geologist in the private sector
PhD Geologist (2010), Associate of the Regulatory Authority for Energy, Greece
MSc Geologist (2004-2008), GIS specialist at private sector companies

Awards

Academy of Athens (2016), Best Geodesy paper for: Chousianitis et al., 2015. Strain and rotation rate patterns of mainland Greece from continuous GPS data and comparison between seismic and geodetic moment release. Journal of Geophysical Research, 120, 3909-3931.

Technical Skills

Processing of conventional (15s, 30s) GPS data using GAMIT/GLOBK
Processing of high-rate (>1 Hz) GPS data using Track
Linear and non-linear regressions using statistical programs and codes
Probabilistic seismic hazard assessment using pure statistical and semi-statistical approaches
Coulomb stress modeling using uniform and variable slip models
Strain rate modeling from GPS velocities using inversion techniques
Geographic Information Systems for mapping and spatial analysis using ArcGIS

Contact info:
PO Box 20048
Lofos Nymfon, Thission
11810 Athens, Greece
chousianitis@noa.gr
(+30) 210-3490184


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