Tunisian youth continue to shine across the world in various scientific and technological fields, following a Tunisian youth obtained last week a patent from INNORPI.. related to an alternative to the metro and train within cities. This innovation is represented by a “people conveyor belt” similar to the conveyor belts that are being implemented, for example. In major airports, major factories or giant commercial spaces, and it can replace traditional public transportation, especially metro cities.
And before him, the young man, Ayman Al-Masmoudi, who turned into a success story and a challenge to disability, managed to learn to develop mobile applications and web sites with his own capabilities, to join a major company
This week, Tunisian astroparticle physicist Lina Nassib won the 2023 Valley Prize for her research on dark matter.
Lina Nassib was born in Kairouan, then moved at the age of four to Zaghouan, where she grew up and studied. When asked regarding the secret of her passion for space science, Lina said that one night when she was 8 years old, her family decided to watch the movie “Contact” starring Jodie Foster, who plays the role of a scientist looking for aliens, and the movie opened Lina’s eyes not only On the field of astrophysics, but on a world where a woman can study astrophysics, and by the end of the film, Lina made the decision that she “will do it!”.
To fulfill her dream, Lina focused on studying at universities abroad to study physics, as she moved to the United States in 2008 to attend Boston University, where she obtained her BA in Mathematics and Physics in 2012. Then she obtained her Ph.D. in Theoretical Physics from the Massachusetts Institute of technology, and she also got a job as a professor at an American university.
Lina explained that she was always looking for opportunities to conduct various research, as she conducted a resonance test for graphene and joined the search for the Higgs boson in Cerno, and then increased her interest in dark matter, stressing that she is interested in understanding the origin of this matter, and uses a set of simulations and observational data to link the dynamics of matter Dark dynamics of stars in the Milky Way, deducing the properties of this substance.