Josef-Holaubek-Platz 2 (UZA II), 1090 Wien
Raumnummer: 2F509
T: +43-1-4277-537 83

© Sandy Chkeir

Curriculum vitae

02/2023 - present: Prae PhD, Institut für Meteorologie und Geophysik, Universität Wien

06/2021 - 11/2022: Research Fellow, Dipartimento di Geoscienze - Università di Padova UNIPD

09/2019 - 09/2020: Msc., École Nationale Supérieure de Physique, Électronique et Matériaux Grenoble-INP PHELMA

09/2015 - 09/2020: Communication and Computer Engineering CCE Diploma, Lebanese University-Faculty of Engineering


  • Satellite Data Assimilation
  • Numerical Weather Prediction
  • Weather Nowcasting
  • Machine Learning



  • H2020 SESAR “multi-hAzard monitoring and earLy wARning systeM” ALARM, Università di Padova UNIPD (Homepage)


  • Mazzarella, V., Chkeir, S., Anesiadou, A. Milelli, M., Gatti, A., Tagliaferro, G., Federico, S., Realini, E., Biondi, R., Parodi, A.: Leveraging GNSS tropospheric delays to nowcast severe weather events by assimilation into WRF and by machine learning techniques: the hailstorm of 13 July 2021 on Milano Malpensa airport, Contribution ID: 108,, 2022.
  • Chkeir, S., Anesiadou, A., and Biondi, R.: Spatio-temporal nowcasting of local severe weather events with deep neural networks, 17th Plinius Conference on Mediterranean Risks, Frascati, Rome, Italy, 18–21 Oct 2022, Plinius 17-12,, 2022.
  • Chkeir, S., Anesiadou, A., and Biondi, R.: Multi-station Multivariate Multi-step Convection Nowcasting with Deep Neural Networks, EGU22-8719,, 2022.
  • Anesiadou, A., Chkeir, S., and Biondi, R.: Characterization and nowcasting of severe weather events over Milano Malpensa, EGU22-9357,, 2022.
  • Brenot, H., Theys, N., de Donder, E., Clarisse, L., de Buyl, P., Clerbaux, N., Dietmüller, S., Matthes, S., Grewe, V., Chkeir, S., Mascitell, A., Anesiadou, A., Biondi, R., Mahorčič, I., Bolić, T., Bhattacharya, R., Winter, T., Durant, A., Van Roozendael, M., and Soler, M.: Decrease of anthropogenic emission from aviation and detection of natural hazards with potential application in geosciences using satellite sensors, ground-based networks and model forecasts in the context of the SACS/ALARM early warning system, EGU22-8948,, 2022.


  • R. Biondi, S. Chkeir, A. Anesiasou, A. Mascitelli, E. Realini, L. Nisi, and C. Cimarelli, "Multivariate Multi-Step Convection Nowcasting with Deep Neural Networks: The Novara Case Study," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 6598-6601, doi: 10.1109/IGARSS46834.2022.9883665


  • Chkeir, S., Anesiadou, A., Mascitelli, A. and Biondi, R. (2022). Nowcasting Extreme Weather with Machine Learning Techniques Applied to Different Input Datasets. Accepted: Atmospheric Research. Available at SSRN: or
  • Chkeir, S., Anesiadou, A., Biondi, R., Cervantes, A., Reviriego, Á., Soler, M., (2023). A new meteorological nowcasting product supporting aviation management at local-scale. In preparation