The research group is affiliated to the University of Lausanne and mostly supported by Swiss National Science Foundation (SNSF), with also grants from the National Centre for Groundwater Research and Training (NCGRT), and the National ICT Australia (NICTA)
· Gregoire Mariethoz (Professor Assistant, UNIL)
· Lionel Benoit (PhD Candidate, UNIL) Rainfall measurement and stochastic space-time simulation/interpolation.
· Mathieu Gravey (PhD Candidate, UNIL) GPU-based topography point clouds completion methods, remote sensing images colorization.
· Luiz Gustavo Rasera (PhD Candidate, UNIL) geostatistical topography downscaling and data fusion.
· Inigo Irarrazaval (PhD Candidate, UNIL) Subglacial channels modeling with inverse methods.
· Qiyu Chen (PhD Candidate, UNIL / China University of Geosciences) - Geological stochastic modeling method for the Quaternary sedimentary system 3D geological stochastic modeling method for Quaternary sedimentary systems.
· Juan Carlos Castilla (PhD Candidate, UNSW Australia and researcher at CSIRO) Agents-based models, uncertainty in hydrogeological models, climate change.
Former group members
· Xue Li (former PhD Candidate, UNIL / University of Science and Technology of China) Development of geostatistical simulation algorithms.
· Ehsan Baninajar (former PhD Candidate, UNIL / Sahand University of Technology, Iran) Automatic parameterization of MPS methods.
· Fabio Oriani (former PhD Candidate, University of Neuchatel, now postdoc at GEUS Copenhagen) Climatic time-series modeling with Multiple-point geostatistics.
· Kashif Mahmud (former Former PhD student at UNSW Australia, now postdoc at University of Western Sydney) Multiple-point geostatistics, texture synthesis, upscaling, multivariate analysis, karst modeling.
· Sanjeev Jha (former postdoc at UNSW Australia, now Assistant Professor with IIT Bhopal) Downscaling of hydrological data, 3D geological modeling under structural heterogeneity and variable connectivity, river sedimentary processes and bathymetry.
One of our main research areas is related to Multiple-Point Statistics, and here is a list of references related to MPS
Below is a (incomplete and not up-to-date) list of some recent and less recent research topics. For a more complete list, please refer to the publications page where links to journal articles are available, except the very recent ones for which there may be an embargo period. You can also send me an email if you need a specific paper (please no researchgate or linkedin messages).
· Downscaling of digital elevation models
· Stochastic models for super-small-scale rainfall generation
· Colorization of multispectral remote sensing images
· Analogue-based fusion of different satellite products
· Inverse modeling of subglacial networks
· Fundamental development of geostatistical algorithms (without preconceptions: working on both training image-based and covariance-based models)
· Environmental data acquisition with innovative low-cost sensors we want to know where the data we model are coming from!
· Application of the above to real-world questions, mostly in the context of environmental change in alpine regions
Rainfall simulation with multiple-point geostatistics including radar data, elevation and weather types