Research output per year
Research output per year
Personal profile
Research interests
Dr. Jasmin Lampert leads the Green Data Science application area in the Data Science & AI group at AIT. Her research focuses on the development of geospatial data analysis and machine learning methods to better understand climate change and mitigate its effects.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Astrophysics, PhD, The non-Gaussian matter power spectrum covariance in the halo model approach, University of Bonn
1 Dec 2004 → 11 Jul 2008
Award Date: 11 Jul 2008
External positions
External affiliation, Institut für Bodenforschung, Department für Wald- und Bodenwissenschaften, University of Natural Resources and Life Sciences Vienna (BOKU)
30 Sept 2023 → …
External affiliation, Swiss Data Science Center - ETH Zurich
1 Apr 2017 → 30 Sept 2017
Keywords
- QC Physics
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Research output
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Brief communication: Communicating uncertainties in landslide susceptibility modeling using bivariate mapping
Schlögl, M., Graser, A., Spiekermann, R., Lampert, J. & Steger, S., 13 Feb 2025, (Accepted/In press) In: Natural Hazards and Earth System Sciences. 17 p.Research output: Contribution to journal › Article › peer-review
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How can digitalisation support transformation towards sustainable agri-food systems? Scenario development in Lower Austria
Wepner, B., Neuberger, S., Hörlesberger, M., Molin, E. M., Lampert, J. & Koch, H., 2025, In: Agricultural Systems. 224Research output: Contribution to journal › Article › peer-review
Open Access -
Data- and model-based prediction of the sugar beet weevil occurrence
Kurtovic, A., Bernadó, L., Dokal, M., Lampert, J., Seiter, M. & Molin, E. M. (Author and Speaker), 27 Feb 2024, abstract book 79th IIRB Congress. p. 124Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation
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Downscaling Climate Models with Physics-informed Machine Learning to tackle the Energy Transition: Presentation of the EnergAIze project at the internal AI4Green networking event.
Lampert, J. (Speaker), Thiele, P. L., Bügelmayer-Blaschek, M., Hasel, K., Schellander-Gorgas, T. & Schicker, I., 26 Jun 2024. 1 p.Research output: Poster presentation without proceedings
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Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks
Le, C., Pham, L. (Author and Speaker), Lampert, J., Schlögl, M. & Schindler, A., Jul 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Proceedings. p. 9582 - 9586Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review
Open Access
Activities
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Physics-informed Machine Learning for Green Applications
Lampert, J. (Speaker)
15 Oct 2024Activity: Talk or presentation / Lecture › Presentation at a scientific conference / workshop
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How Women Shape the Future
Pupeter, E. (Speaker, invited), Kienegger, T. (Speaker, invited), Wallner, D. (Speaker, invited), Gruber, I. (Speaker, invited), Lampert, J. (Speaker, invited), Babos, M. (Speaker, invited) & Bothur, L. S. (Speaker, invited)
3 Oct 2024Activity: Talk or presentation / Lecture › Invited talk to industry or public institution
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Principles and challenges of research in socio-economics, natural resources and life sciences
Hesser, F. (Speaker), Lampert, J. (Speaker), Riegler, M. (Speaker) & Holzinger, A. (Speaker)
1 Oct 2024 → 28 Feb 2025Activity: Talk or presentation / Lecture › Lecture
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Tackling Climate Change with Green Data Science
Lampert, J. (Speaker, invited)
17 May 2024Activity: Talk or presentation / Lecture › Invited talk to industry or public institution
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KI von Statistik bis neuronale Netzwerke
Lampert, J. (Speaker, invited)
16 May 2024Activity: Talk or presentation / Lecture › Invited talk to industry or public institution