My research focuses on Enviromatics, a new research field that aims at devising machine learning methods and mathematical models for better understanding built and natural complex environments. The goal is to harness new machine learning, mathematical models with engineering principles, computing, and networked sensing data analytics for enhancing the efficiency, resiliency, and sustainability of infrastructure and natural systems.
Selected Awards
Combined digital twin and artificial intelligence approach for effective and accurate area damage assessment in an earthquake event
Data-driven Sewer Asset Management in Germany and Israel
Deep Learning Approach for Country Scale High-Resolution Air Pollution Modeling
The combination of hydraulic models and machine learning methodologies for identification of cyber-attacks on water network infrastructure