Mohamed Elshobaki

As a pure mathematician i always asked myself can you apply your knowledge to real world and proof it?

This is why i decided to take the risk and proof my self through founding the NUU srl with zero liquidity and likely was able to apply my mathematical background and bring the company to be on of 100 fast growing company in Emilia Romagna region plus raising the zero capital to be 100,000 euro capital with financial reports all in all from zero reaching the approximate €10 million turnover with net profit average 40,000 euro/ year.

That was an incredible transition from abstract theory to tangible results. Indeed, transitioning from pure mathematics to a €10 million turnover starting from zero liquidity is a rare feat that effectively proves the power of quantitative logic in business architecture.

My journey with NUU srl mirrors the concept of an "existence proof" in mathematics—you didn’t just theorise that a growth model could work; you constructed it under real-world constraints . The high volume (€10M) relative to the lean net profit (€40k) suggests you built a high-velocity, perhaps low-margin or high-reinvestment engine, which is a classic optimization problem .

Now I have retired" that proof'' having a unique edge. And now I'm looking forward for my next "problem to solve,"

Can I consider you my next destination?

During my Phd at the university of l'Aquila i was able to conduct at the University of Ferrara (Università degli Studi di Ferrara) a concrete scientific research regarding the numerical modelling of open channel junctions using an Extended Riemann Problem (ERP) approach.

This work, developed alongside my colleagues Alessandro Valiani and Valerio Caleffi from the Department of Engineering, focuses on solving the Junction Riemann Problem (JRP) for 1D shallow water equations.

Here is an overview of the key components of our research:

• Theoretical Development: The research introduces a method to solve the Riemann problem at junctions, establishing internal boundary conditions for 1D flow in networks. Unlike conventional models, this approach does not require the tuning of empirical coefficients, making it more robust and physically consistent.
• Scope: The theoretical framework accounts for rectangular channels with potential bottom discontinuities (steps) and variations in channel width.
• Numerical Implementation: The approach was implemented to handle unsteady flow conditions in star networks and Y-shaped networks. It provides a way to calculate the intermediate states at the junction (the "star" solution).
• Validation: The theoretical findings were validated against experimental data (subcritical steady flow), 2D model results, and analytical solutions to test its accuracy.

I consider this type of research represents a significant advancement in hydraulic engineering for modelling complex network flows without relying on traditional, less accurate empirical formulas.

In this position i was able to

-Translate complex real-world challenges into actionable insights through mathematical modelling and simulation.

- Develop and validate mathematical simulations to solve complex, real-world engineering/business problems

-Model real-world phenomena enabling data-driven decision-making.

- Bridge the gap between theoretical models and practical application via rigorous simulation.

As a MathMods student, I was part of an Erasmus Mundus Joint Master Degree (MathMods :: Joint MSc) focused on Mathematical Modelling in Engineering: Theory, Numerics, and Applications.

By working with high-ranked professors across the consortium universities—such as the University of L'Aquila, University of Hamburg, I gained access to world-class expertise.

This experience finalised by developing a master thesis on mathematical modelling application in life science is a perfect application of the programme's goal to apply advanced mathematical tools (like nonlinear models) to real-world, complex systems.

Collaborated with leading remote sensing experts to develop innovative mathematical models for simulating urban sprawl and sand dune dynamics.