Nora Gourmelon

• Since 11/2020: Ph.D. Student at Pattern Recognition Lab, FAU Erlangen-Nürnberg
• 10/2018 – 11/2020: M. Sc. Computer Science, FAU Erlangen-Nürnberg
• 08/2019 – 12/2019: Semester abroad at Norges teknisk-naturvitenskapelige universitet in Trondheim, Norway
• 10/2014 – 09/2019: B. Sc. Computer Science, FAU Erlangen-Nürnberg
• 09/2016 – 12/2016: Semester abroad at Saint Mary`s University in Halifax, Canada

No projects found.

No publications found.

• 2025: “Self-Supervised Pre-Training for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery,” Invited Talk at AI at RISE, November 13
• 2025: “Pre-Training a Hybrid Transformer-CNN for Glacier Segmentation,” talk at ESA's Living Planet Symposium, Vienna, June 27
• 2024: Moderation of the discussion group "AI x Sustainability" at the AI Grid Summit, Berlin, November 13
• 2024: “A Battle of AIs and Whether a Human Would Win,” Pattern Recognition Symposium Winter 2023/24, March 15
• 2024: “AI for Earth,” Invited talk at the Julius-Maximilians-Universität Würzburg, January 22
• 2023: Research presentation for the German Federal Minister of Education and Research Bettina Stark-Watzinger at the Digital Gipfel 2023, November 21
• 2023: Science Pitch at the Digital Gipfel 2023, November 20
• 2023: “AI-based Remote Sensing Applications,” Invited Talk at the Fachsymposium “Artificial Intelligence for Life”, Hochschule für angewandte Wissenschaften Weihenstephan-Triesdorf, October 20
• 2023: “Glacier Monitoring with Computer Vision Models," Invited talk at the AI, Machine Learning and Data Science Meetup, Voxel51, October 5
• 2023: “CaFFe - a benchmark dataset for glacier calving front extraction from synthetic aperture radar imagery,” Talk (taken over by Julian Klink) at IGARSS 2023, July 19
• 2023: “Conditional Random Fields for improving deep learning-based glacier calving front delineations,” Talk (taken over by Julian Klink) at IGARSS 2023, July 19
• 2023: “Biodiversity and Glacier Monitoring,” Invited Talk at the Green AI Seminar as part of the Public Climate School, FAU, Mai 10
• 2023: “Automatisierte Seevogelerfassung in Luftbild-Videos,” Invited talk at the workshop “KI statt IQ? - Potenziale und Herausforderungen des KI-Einsatzes in der Vogelbeobachtung und im Vogelmonitoring,” German Federal Agency for Nature Conservation, Vilm, January 31
• 2022: “Deep learning-based Calving Front Delineation” and “Bird Monitoring Using Computer Vision Techniques,” Invited Talk at the Green AI Seminar, FAU, November 9
• 2022: “Denoising SAR Imagery for Deep Learning-based Calving Front Segmentation,” Machine Learning for Polar Regions Workshop, Columbia University in the City of New York, June 17
• 2022: “The Birds” and “Calving Fronts and Where to Find Them,” Invited Talk at the Green AI Seminar, FAU, Mai 5
• 2021: “Gletscherfronten und wo sie zu finden sind,” Invited Talk at the Fachsymposium “Artificial Intelligence for Life”, Hochschule für angewandte Wissenschaften Weihenstephan-Triesdorf, October 22
• 2021: “Glacier Fronts and Where to Find Them,” Pattern Recognition Symposium Summer 2021, July 22
• 2021: “Application Area Water (in Different Physical States),” Pattern Recognition Symposium Winter 2020/21, February 18

• 2024: "Calving Fronts and Where to Find Them - A Benchmark Framework", AI Grid Summit 2024, Berlin, November 12 – November 13
• 2024: "SSL4SAR – Self-Supervised Learning for Synthetic Aperture Radar Imagery", Pattern Recognition Symposium, July 16
• 2024: "Calving Fronts and Where to Find Them - A Benchmark Framework", International Computer Vision Summer School 2024, Baia Samuele, Italy, July 8 – July 12
• 2023: “Calving SAM”, Pattern Recognition Symposium Summer2023, July 11
• 2023: “Conditional Random Fields for Post-processing Deep Learning-based Glacier Calving Front Delineations”, Pattern Recognition Symposium Winter 2023, March 7
• 2022: “Calving Fronts and Where to Find Them: A Multi-Task Model for Automatic Glacier Calving Front Extraction from SAR Imagery”, Cryosphere 2022, Reykjavik, Iceland, August 22 - August 26
• 2022: “Trainable Bilateral Filters for Everybody,” Pattern Recognition Symposium Summer 2022, July 27
• 2022: “The Birds,” Pattern Recognition Symposium Winter 2021/22, March 9
• 2021: “Calving Front Detection in SAR Images using Deep Learning Techniques,” #GeoWoche2021, Arbeitskreis Fernerkundung, October 8, link to abstract, link to poster

• 2024: On t3n's list of nominees for AI Person of the year
• 2023: German AI-Newcomer Award 2023 in the field natural and life sciences
• 2023: Member of AI Grid
• 2022: Best Poster Award at the Pattern Recognition Symposium Winter 2021/22 for the poster "The Birds"
• 2021: Prize for excellent Master's thesis “End-use Classification Using High-Resolution Smart Water Meter Data”
• 2020: Best Paper Award at the 5th International Electronic Conference on Water Sciences in the Session “Water Resources Management and the Ecosphere Resilience and Adaptation”

• Since 2025: Women's Representative for the Department of Computer Science at FAU
• 2024: Volunteer in a Moorland Restoration Project with the "Bergwaldprojekt"
• Since 2023: Certified Mental Health First Aider
• Since 2022: Founding Member of the Mental Health Team at the PRL
• Since 2022: Founding Member of the Equality Team at the PRL
• Since 2022: Member of the Steering Committee for the Graduate School Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M3OCCA)
• Since 2022: Presentation of own work (talks, demos, and posters) at the Long Night of Sciences
• 2019: Part of the organizing team of the Local Conference of Youth (LCOY) - Young Climate Conference Germany 2019
• Journal Reviews: The Cryosphere (3), IEEE Transactions on Geoscience and Remote Sensing (3), International Journal of Applied Earth Observation and Geoinformation (2), Ecological Informatics (1), Scientific Reports (1)

• Exercise creation + tutoring: Medizintechnik II (SS’21), Introduction to Machine Learning (WS’21/22)
• Projects: Project Remote Sensing (SS’22 - WS’24/25)