Scientific Outputs

The CAMALIOT project has been presented at the following conferences:

• Navarro, V., Soja, B., Nugnes, M., Kopotek, G., Tagliaferri, G., See, L., Falzarno, R., Halbheer, M., Ventura-Traveset, J. Data fusion and machine learning for innovative GNSS science use cases. ION GNSS+ 2021, 20-24 September 2021.
• Soja, B., Navarro, V., Klopotek, G., Rothacher, M., See, L., Sturn, T., Weinacker, R., McCallum, I. Atmospheric monitoring with GNSS IoT data fusion based on machine learning, AGU, 13-17 December 2021.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. CAMALIOT: Application of Machine Learning Technology for IoT Data Fusion, Women in Data Science Zürich Conference 2022, Rüschlikon, Switzerland, 6 May 2022, poster.
• See, L., Soja, B., Kłopotek, G., Awadaljeed, M., Crocetti, L., Pan, Y., Rothacher, M., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. The CAMALIOT project, FFG Informationsveranstaltung zu NAVISP, Vienna, Austria, 10 May 2022.
• Kłopotek, G., Soja, B., Crocetti, L., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. CAMALIOT: Exploring Crowdsourced GNSS Observations at Scale for Atmospheric Monitoring Based on Machine Learning; Talk, 5th GNSS Raw Measurements Task Force Meeting, European Union Agency for the Space Programme (remote), 17 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Using machine learning algorithms and meteorological data for the prediction of tropospheric parameters in space and time, EGU, Vienna, Austria, 23-27 May 2022.
• Kłopotek, G., Soja, B., , Awadaljeed, M., Crocetti, L., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations, EGU, Vienna, Austria, 23-27 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T. Machine learning based modelling of tropospheric parameters with GNSS enhanced by meteorological data, ESA Living Planet Symposium 2022, Bonn, Germany, 23-27 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data, 1st Workshop on Data Science for GNSS Remote Sensing, Potsdam, Germany, 13-15 June 2022.
• Pan, Y., Kłopotek, G., Soja, B. Automatic selection of crowdsourced GNSS smartphone data for atmosphere sounding, 1st Workshop on Data Science for GNSS Remote Sensing, Potsdam, Germany, 13-15 June 2022.
• Kłopotek, G., Soja, B., Crocetti, L., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Exploring Crowdsourced GNSS Observations for Data Fusion with the Use of Machine Learning, 8th International Colloquium on Scientific and Fundamental Aspects of GNSS, Sofia, Bulgaria, 14-16 Sep 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Pan, Y., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Application of machine learning to globally model tropospheric parameters. ECMWF–ESA Workshop on Machine Learning for Earth Observation and Prediction, Reading, UK, 14-17 Nov 2022.
• Awadaljeed, M., Kłopotek, G., Soja, B. Exploring SMOS Solar Flux Data for Data Fusion with Machine Learning in the CAMALIOT Project, 1st workshop on SMOS for Space Weather, ESA-ESRIN, Frascati, Italy, 14 Nov 2022.
• Soja, B., Navarro, V., Kłopotek, G., Pan, Y., Crocetti, L., Awadaljeed, M., Rothacher, M., See, L., Sturn, T., Weinacker, R., McCallum, I. Determination of atmospheric parameters from globally crowdsourced GNSS data. American Geophysical Union Fall Meeting 2022, Chicago IL, USA,, 12-16 Dec 2022. doi: 10.3929/ethz-b-000590258