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Riccardo Sprocati is a PhD student at the Technical University of Denmark, Department of Environmental Engineering. He started his PhD project in December 2018, after a T.I.M.E. Double Degree MSc between the Technical University of Denmark and the University of Padova (Italy).

His research aims at developing multiphysics simulations and machine learning solutions for the investigation of the potential of electrokinetic (EK) techniques for subsurface applications. The ultimate goal is the proof of concept of green technologies that use only low-intensity electric fields to mobilize and transport solutes and contaminants in the subsurface. Applications include in-situ remediation of contaminated sites as well as in-situ leaching and recovery of valuable metals and metalloids.

His interests range from sustainability, data science to machine learning and the opportunities of exploiting novel AI technologies to solve global environmental challenges.

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):

  • SDG 6 - Clean Water and Sanitation
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production
  • SDG 15 - Life on Land


  • User defined:
  • Reactive transport modeling in porous media
  • Electrokinetic soil remediation
  • Machine Learning
  • Environmental modeling
  • Numerical Modeling
  • Artificial Intelligence


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