Dr. Werner Rammer
| Senior Scientist |
| Ecosystem modeling, software engineering, machine learning |
| iLand, SVD |
| Contact ☎ 0049 8161 71 4685, 📌 Room 1.3.1.19 ✉ werner.rammer (at) tum.de ResearchGate | OrcId | Google Scholar |
RESEARCH INTERESTS
- Ecosystem modelling
- Artificial intelligence / deep learning
- Software engeneering
- Climate change impacts
- Ecosystem services and forest management
SELECTED PUBLICATIONS
Rammer, W., & Seidl, R. (2019). A scalable model of vegetation transitions using deep neural networks. Methods in Ecology and Evolution, 2019(February), 1–12. doi.org/10.1111/2041-210X.13171
Rammer, W., & Seidl, R. (2019). Harnessing deep learning in ecology: An example predicting bark beetle outbreaks. Frontiers in Plant Science, 10(October), 1327. doi.org/10.3389/FPLS.2019.01327
Seidl, R., Rammer, W., Scheller, R. M., & Spies, T. a. (2012). An individual-based process model to simulate landscape-scale forest ecosystem dynamics. Ecological Modelling, 231, 87–100. doi.org/10.1016/j.ecolmodel.2012.02.015
Seidl, R., Schelhaas, M.-J., Rammer, W., & Verkerk, P. J. (2014). Increasing forest disturbances in Europe and their impact on carbon storage. Nature Climate Change, 4(9), 806–810. doi.org/10.1038/nclimate2318
CV
| 2019- | staff position, Technical University Munich |
| 2009-2019 | Postdoc, University of Natural Ressources and Life Sciences, Vienna |
| 2009 | Visiting scientist, Oregeon State University, USA |
| 2002-2009 | Researcher (ecosystem modeling, software engineering), University of Natural Ressources and Life Sciences, Vienna |
| 1997-2002, 2007-2009 | Employed / self employed in private IT companies |
| 1994-2003 | MSc Environmental management, University of Natural Ressources and Life Sciences, Vienna |