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

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

Full list of publications

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