M.Sc. Iason-Zois Gazis

• Hydroacoustic seafloor mapping
• Seafloor analysis
• Spatial predictive modelling
• Machine learning
• Resources estimation
• Underwater imagery
• Monitoring of deep-sea mining

• COMPASS project
• JPIO Mining Impact – Environmental Impacts and Risks of Deep-Sea Mining
• ProBaNNt MarTERRA project

Mbani, B., Schoening, T., Gazis I-Z, Koch R, Greinert J. 2022. Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean. Sci Rep 12, 15338. https://doi.org/10.1038/s41598-022-19070-2

Purkiani, K., Haeckel, M., Haalboom, S., Schmidt, K., Urban, P., Gazis, I-Z., de Stigter, H., Paul, A., Walter, M., and Vink, A. 2022. Impact of a long-lived anticyclonic mesoscale eddy on seawater anomalies in the northeastern tropical Pacific Ocean: a composite analysis from hydrographic measurements, sea level altimetry data, and reanalysis model products, Ocean Sci., 18, 1163–1181, https://doi.org/10.5194/os-18-1163-2022

Haalboom S, Schoening T, Urban P, Gazis I-Z, de Stigter H, Gillard B, Baeye M, Hollstein M, Purkiani K, Reichart G-J, Thomsen L, Haeckel M, Vink A and Greinert J (2022) Monitoring of Anthropogenic Sediment Plumes in the Clarion-Clipperton Zone, NE Equatorial Pacific Ocean. Frontiers in Marine Science 9:882155. https://doi.org/10.3389/fmars.2022.882155

Gazis, I.-Z. and Greinert, J. (2021). Importance of Spatial Autocorrelation in Machine Learning Modeling of Polymetallic Nodules, Model Uncertainty and Transferability at Local Scale. Minerals, 11 (11), 1172, 33 Pages. DOI: https://doi.org/10.3390/min11111172

Hasiotis, T., Gazis, I.-Z., Anastasatou, M., Manoutsoglou, E., Velegrakis, A.F., Kapsimalis, V., Karditsa, A., and Stamatakis, M. (2020). Searching for potential marine sand resources to mitigate beach erosion in island settings. Marine Georesources & Geotechnology, 38, 1-16. DOI: doi.org/10.1080/1064119X.2020.1721623

Gazis, I.-Z., Schoening, T., Evangelos, A., and Greinert, J. (2018). Quantitative mapping and predictive modeling of Mn nodules’ distribution from hydroacoustic and optical AUV data linked by random forests machine learning. Biogeosciences, 15, 7347-7377. DOI: doi.org/10.5194/bg-15-7347-2018

IP21-MANGAN: Independent scientific monitoring of two collector tests in the BGR and GSR contract areas for the exploration of polymetallic nodules in the equatorial NE Pacific. San Diego (USA) 04.04.2021 – San Diego (USA) 15.05.20

MSM96 – METAL ML: Heterogeneity and complexity of topography, habitats and geochemistry of the Atlantic Ocean seafloor. Emden (Germany) – Emden (Germany), 10.10.-10.11.2020

SO268-1: JPI Oceans - Environmental impacts and risks of deep-sea mining. Manzanillo (Mexico) – Manzanillo (Mexico), 18.02-27.03.2019

MPII/112018: Elucidating Patagonian Ice Sheets dynamics during the last deglaciation from the underwater geomorphology. Punta Arenas (Chile) -   Punta Arenas (Chile), 2.11-18.11.2018

POS530: Environmental monitoring for the delaboration of munitions on the seabed (UDEMM project) inside the German EEZ (Baltic Sea). Kiel (Germany) – Kiel (Germany), 1.10 – 21.10. 2018

SLOGARO M143: Slope failures and active gas expulsion along the Romanian margin – investigating relations to gas hydrate distribution. Varna (Romania) – Heraklion (Greece), 12.12.-22.12.2017
 

Conferences

de Clippele L., Gafeira J., Arosio R., Huvenne V. A. I., Ragnarsson S., Kutti T., Larsson A. I., Sowers D., Diesing M., Gazis I.-Z., Greinert J., Hebbeln D., Wienberg C., Titschack J., Wheeler A., Mohn C., Burmeister K., Schwarzkopf F., Orejas C., Roberts M., 2023: Using the novel CoMMa toolbox to map and characterize coral mounds across the Atlantic Ocean. 8th International Symposium on Deep-Sea Corals, Edinburgh, United Kingdom, 29 May - 02 June 2023

Gazis I.-Z., de Stigter H., Mohrmann J., Heger K., Diaz M., Gillard B., Baeye M., Veloso-Alarcón, M., Purkiani K., Thomsen L., Haeckel M., Vink A., Greinert J., 2023: Deep-sea Mining: Spatiotemporal seafloor and plume monitoring of in-situ trials in Clarion-Clipperton-Zone using hydroacoustic and optic methods, GEOHAB 2023 Marine Geological and Habitat Mapping Conference, La Réunion, France, 08-12 May 2023

Gazis I.-Z., Charlet F.,Greinert J., 2023: A multiple-model machine learning approach with increased interpretability for spatial prediction of polymetallic nodules using hydroacoustic and optic data. GEOHAB 2023 Marine Geological and Habitat Mapping Conference, La Réunion, France, 08-12 May 2023

Diaz M., de Stigter H., Gillard B., Gazis I.-Z., Mohrmann J., Heger K., Baeye M., Thomsen L., Greinert J., 2023: Monitoring flocculation during a deep-sea mining test in the Clarion-Clipperton Zone, eastern equatorial Pacific Ocean. EGU General Assembly 2023, Vienna, Austria & Online, 23-28 April 2023

Gazis I.-Z., de Stigter H., Mohrmann J., Heger K., Diaz M., Gillard B., Baeye M., Purkiani K., Veloso-Alarcón, M., Hollstein M., Schoening T., Urban P., Haalboom S., Thomsen L., Haeckel M., Vink A., Charlet F., Greinert J., 2022: Deep-sea mining plume monitoring:  Results from the first deep-sea trial of the Patania-II pre-prototype nodule collector and parallel plume monitoring with hydroacoustic and optic methods. Underwater Minerals Conference, October 2 - 7, 2022, The Vinoy Renaissance Resort, St. Petersburg, Florida, US

Purkiani K., Gazis I.-Z., Mohrmann J., Heger K., Diaz M., Veloso-Alarcón, M., Gillard B., Baeye M., Paul A., de Stigter H., Haeckel M., Vink A., Greinert J., Thomsen L., Schulz M.2022: Numerical simulation of deep-sea sediment dispersion induced by a pre-prototype nodule collector vehicle in the northeast tropical Pacific Ocean. Underwater Minerals Conference, October 2 - 7, 2022, The Vinoy Renaissance Resort, St. Petersburg, Florida, USA.

Gazis I.Z., Greinert J., 2022: Machine learning-based modeling of deep-sea polymetallic nodules spatial distribution: spatial autocorrelation and model transferability at local scales. EGU General Assembly 2022, Vienna, Austria & Online, 23-27 May 2022.

Veloso-Alarcón, M., Gazis I.-Z., Geiger, A., Bertrand Sebastien, and Cristián Rodrigo, 2022: Advances on submarine geomorphology at the Fjord system of Gran Campo Nevado (~52°S) EGU General Assembly 2022, Vienna, Austria & Online, 23-27 May 2022.

Gazis I.Z., Greinert J., 2022: The effect of spatial autocorrelation in machine learning-based modeling of deep-sea polymetallic nodules spatial distribution. GEOHAB 2022 Marine Geological and Habitat Mapping Conference, Venice, Italy 16-20 May 2022.

Gazis I.Z., Greinert J., Schoening T., 2019: Spatial quantitative mapping of polymetallic nodules based on machine learning.  12^th Russian-German Raw Materials Conference, Saint Petersburg, Russia, 27-29 November 2019.

Gazis I.Z., Greinert J., Schoening T., 2019: Manganese nodules spatial quantitative mapping based on AUV data and machine learning. Regional Conference on Geomorphology, Athens, Greece, 19-21 September 2019.

Geiger A.J., Smedley R.K., Garcia1 J.L., Rodriguez P.C., Herrera G., Ferri L.,Veloso M., Gazis I.Z., Bertrand S., 2019: A multi-method approach to constrain glacier geometry changes between the Gran Campo Nevado and Pacific Ocean during last glacial-deglacial phase.20th Congress of the International Union for Quaternary Research (INQUA), Dublin, Ireland, 25-31 July 2019.

Alibakhsi A., Kumar A., Gazis I.Z., Seelmann K., Juva K. 2018: Presenting the scientific research held at GEOMAR Helmholtz Centre for Ocean Research Kiel From the Deep Sea to the Atmosphere. NexGen Conference, Helmholtz-Centre Potsdam, German Research Centre for Geosciences, 25-27 July 2018

Gazis I.Z., Greinert J., Schoening T., 2018: Digital Data in Marine Resource Assessment: Challenges and Chances. GEOMAR DataScience Symposium, Kiel, Germany, 19-20 April 2018.

Gazis I.Z., Greinert J., Schoening T., 2017: AUV-based small scale quantitative predictive mapping of Mn-nodules: Precondition for ideal mining path planning. Economical, Technological, and Environmental Aspects: Cooperative Solutions for Future Deep-sea Mining. 46^th Underwater Mining Conference, Federation of German Industries (BDI), Berlin, Germany, 24-29 October 2017.

Gazis I.Z., Hasiotis T., Velegrakis A.F., Anastasatou M., Kardıtsa A., Andreadıs, O., Kapsimalis V., Stamatakis M., Poulos S., 2017: The potential of marine aggregate deposits off a highly eroded coastal area in Lesvos Isl. (Greece) - Implications for coastal management. 15th International Conference on Environmental Science and Technology, Rhodes, Greece, 31^st August - 2^nd September 2017.

Gazis I.Z., Lazogiannis K., Hasiotis T., Velegrakis A., Poulos S., 2014: Recent sedimentation processes in the subaqueous part of Pinios delta (Thessaly), Greece. 10^th International Congress of the Hellenic Geographical Society, Thessaloniki, Greece, 22-24, October 2014.

• 1^st award in the Section Energy and Digitalization in Sustainable Development during the 12th Russian-German Raw Materials Conference, Saint Petersburg, Russia, 27-29 November 2019.
• 1^st award Europa macht Schule 2018, CAU Lektorat Deutsch als Fremdsprache
• Bodossaki Foundation full Master scholarship 2015-2016
• 1st ranked student in Master class 2016, and Bachelor class 2014. Awarded with the research grant ‘Omiros Kontoulis 2015’ Department of Marine Sciences, University of the Aegean.

2017 - today PhD Researcher in DeepSea Monitoring Group, GEOMAR Helmholtz Centre for Ocean Research Kiel “Quantitative spatial predictive modelling of Mn-nodules using machine learning techniques.”

2015 - 2016 MSc in Integrated Coastal Management, Department of Marine Sciences, University of the Aegean “Investigating the potential of marine aggregate deposits around Lesvos Island.”

2009 - 2014 BSc in Marine Sciences, Department of Marine Sciences, University of the Aegean “Recent sedimentation processes in the subaqueous part of Pinios Delta.”