Amorós is part of the Machine Learning for Big Data Research Group of Alex Jung and she works in close connection with the Algebra, Number Theory and Applications Research Group of Camilla Hollanti.
Amorós has a BSc and a MSc in mathematics from the University of Barcelona. In 2016 she obtained a PhD in number theory under a collaboration between the University of Barcelona and the University of Luxembourg. She moved to Finland on 2018 to join Prof. Hollanti’s group as a postdoc at the Mathematics Department at Aalto University. In 2019 she joined Prof. Jung’s group and moved to the Computer Science Department. She is also Finland’s coordinator of European Women in Mathematics.
Amorós’ research interests include algebraic number theory, isogeny-based cryptography, wireless communications security and machine learning applications. She likes combining different unrelated areas to come up with new ideas. “Number theory can be applied to security in wireless communications and to cryptography. Machine learning provides a new and exciting source to approach these areas from a different point of view”, she says
“In 2020, we started to obtain the first results using deep learning to improve wireless communications in specific cases. This was a first step to a more general project that we are currently working on”, tells Amorós. These first results can be found in a paper accepted in the IEEE ICASSP 2021 conference. In the same area, but with a more classical approach, a paper was accepted to appear in IEEE Transactions on Information Theory in 2021. Besides that Amorós finished a project on homomorphic encryption started at the Private AI Bootcamp offered by Microsoft Research in December 2019, which resulted in a publication [2] to appear in Protecting Privacy through Homomorphic Encryption by Springer. She also finished a paper on isogeny-based cryptography to be published in 2021. A paper [1] from her PhD thesis was published.
Publications in 2021:
Publications in 2021:
[1] Laia Amorós. Images of Galois representations in mod p Hecke algebras. International Journal of Number Theory, published June 2021.
[2] Laia Amorós, Mikko Pitkänen.Learning optimal lattice codes for MIMO communications. ICASSP 2021 – 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2021
[3] Laia Amorós, Mohamed Taoufiq Damir, Alex Karrila, Oliver Gnilke, David Karpuk, Camilla Hollanti. Well-Rounded Lattices: Towards Optimal Coset Codes for Gaussian and Fading Wiretap Channels. IEEE Transactions on Information Theory, published June 2021.