Algebra and Discrete Mathematics
Welcome to the home page of the research area of
Algebra and Discrete Mathematics at Aalto University. Our members conduct research in areas that include algebraic geometry, algebraic statistics, combinatorics, coding theory, cryptography, Lie theory, matrix theory, number theory, and representation theory.
Members
Faculty
Algebra and algebraic geometry
Coding theory and cryptography
Combinatorics
Lie theory and representation theory
Number theory
News
- Camilla Hollanti and Ragnar Freij-Hollanti, together with their international team, have won an international mathematical challenge launched by GMV in collaboration with Trampoline Network.
- Rahinatou Yuh Njah Nchiwo won the 3 Minute Thesis competition at the Finnish Quantum Days in September 2024.
- Oscar Kivinen started as an Assistant Professor in September 2023.
Prospective students
Research
We provide
bachelor's,
master's and
doctoral theses topics related to the above areas. The links contain lists of current topics and past theses. Contact the faculty and check their personal webpages for more info.
You are also welcome to take part in any of our
lecture courses related to algebra and discrete mathematics.
Recent publications
Here is the
research output for the Algebra and Discrete Mathematics area. On this site you can also find the research output of individuals and links to full texts of articles when available. For preprints check the
math arxiv and individual homepages.
Scientific events
Seminars
Upcoming seminars
- 29.10. 15:15 Dr. Razane Tajeddine: Robust semantic communications – M3 (M234)
- 12.11. 14:15 Andrea Fornetto: Locally recoverable codes for data storage: constructions via elliptic curves and surfaces – M3 (M234)
- 26.11. 14:15 Dr. Allyson Robert (Aalto Applied Physics): Measuring the colour of solar panels: common sources of error and how to estimate them – M3 (M234)
Research on solar energy conversion devices has expanded beyond efficiency alone. An emerging trend is to integrate coloured photovoltaic modules into the built environment. To achieve this, modules—usually black or dark blue to maximise absorption—must match the colours of other building materials. Measuring colour, however, is not as straightforward as measuring energy-conversion efficiency: results depend on human visual perception and on illumination conditions.
In this talk I will discuss how colour can be represented numerically and mathematically, and how it can be measured reproducibly. I will then focus on the approach pursued at Aalto: a camera-based system developed in the Energy Materials & Interfaces group for quantitative colourimetry of PV modules. I will outline its numerical calibration, implemented as a 3D look‑up table mapping camera RGB to standard colour coordinates, and highlight common sources of error and how we quantify them. No prior knowledge of colourimetry is assumed.
Algebra and Discrete Mathematics at Aalto is supported by
Page content by: webmaster-math [at] list [dot] aalto [dot] fi
