The team is composed of young engineers with a consolidated experience in the field of academic and industrial research, supported by the BI CUBE tutors with expertise in technology transfer and business development.


Paola Curci

Co-Founder and Chief Executive Officer (CEO)

PhD in Mathematical Engineering and Telecommunications Engineer. She is an expert in modeling and numerical simulations of wave propagation problems in the field of electromagnetic and acoustic, in modal analysis, in absorbing boundary conditions and PML (Perfectly Matched Layer) techniques. She worked in the laboratories of CoreCom and MOX - Politecnico di Milano.


Michele Giordano

Co-Founder and Chief Technology Officer (CTO)

PhD in Mechanical Engineering and Mechanical Engineer. He is expert in fluid dynamics computation, two-phase flow, uncertainty analysis, and parallel computing. He worked at the Von Karman Institute for Fluid Dynamics in Brussels, at Caspur in Rome, at the University of Basilicata and Salento. He was a post-doc researcher and lecturer in fluid mechanics and aerodynamics.


Pasquale Molinari

Co-Founder and Chief Scientific Advisor (CFA)

Mechanical Engineer with the qualification of Industrial Researcher earned with the Master in Industrial Research at ITIA-CNR. He worked for five years at Plastal Spa in Oderzo (TV) where he worked on analysis CAE (Computer-Aided Engineering) and structural design with Finite Element codes and he developed consulting services for BMW, Mercedes, Audi, Fiat, Iveco, Ford , Volvo and Jaguar.



Numerical Methods

Statistical Methods

  • Fluid-dynamic models
  • Diffusion and transport models
  • Thermal analysis
  • Structural analysis
  • Analysis of vibration modes
  • Thermo-fluid-dynamic models of plastic injection
  • Acoustic propagation models
  • RF electromagnetic models
  • Modal analysis for Maxwell problems
  • Finite element method (FEM)
  • Finite Difference (FD)
  • Finite Volume
  • Numerical techniques for the processing of unbounded domains
  • Interpolation techniques
  • Domain decomposition and parallel computing
  • Design of Experiments
  • Cluster Analysis
  • Regression models
  • Hidden Markov Models