some work in relation to my previous academic positions
Look through the publications and related projects (EU projects for most)
data quality in citizen science (in the FP7 COBWEB, in the H2020 LandSense)
citizen science and invasive species monitoring: Japanese knotweed (fallopia japonica) with EO algorithm vs citizen's observations (impact on data quality assessment)
crowdsourcing and inundation/flood monitoring from social media (flickR) data fusion with EO
extensive review on quality assurance (gap analysis and adaptation of the COBWEB QAQC system to fit LandSense goals, deliverable D5.1)
correspondence analysis for spatial census-based population microsimulation studies (in TALISMAN project (ESRC- Economic and Social UK Research Council)
error propagation (FP7 EuroGEOSS) ...
CLINF (NordForsk funded project)
Whilst at UoS (University of Sheffield) I was involved in this very interesting project on Climate Sensitive Infections (CSI), the CLINF project. I'm carrying on this work within my new status (Self-Employed), e.g. association between land cover change and CSI incidences (borelia, TBE, tularemia)
spatio-temporal variations / comparisons / uncertainties in Land Surface Models (simulations of land cover evolution)
on plant functional types (PFTs) long term evolutions and spatio-temporal structuring of the categorical information
R package PTAk
Extending Principal Component Analysis or Singular Value Decomposition to multiway table with the PTAk approach offering an orthogonal nested decomposition of the sum of squares (see the JStatSoft paper and applications in CLINF, TALISMAN, ROSELT ...)
Research & Innovation expert evaluator for Europe FP7, H2020 programmes, EIT Health InnoStars Europe, Enterprise Ireland, CGIAR BigData initiative, ...
Climate Change Adaptation (predictions / projections / decisions)
Completing working with Land Surface Modelling simulated data I followed the C3S (Copernicus Climate Change Service) training to be able to use more swiftly their excellent Climate data store, python Toolbox and API.
Teaching at EPF 2021/2022
Major in Data Engineer
Dimensionality Reduction module: redundancy, curse of dimensionality, feature selection, latent variable (PCA, SVD, CA, MDS, and beyond, e.g. t-SNE, NMF, ICA, CCA, PLS, tensor analysis)