Algebraic and Geometric Algorithms Group (ΕρΓΑ)

The Erga Lab addresses problems in scientific and geometric computing, with a current emphasis on algorithmic data science and machine learning. Our core expertise lies in algebraic algorithms, the study and solution of polynomial equations, as well as computational, convex, and metric geometry. Based on software development, we employ our methods to the mathematical modeling of the physical world, with specific applications ranging from robotics and bioinformatics, to geometric modeling and VLSI design, up to meteorology and fintech. The Lab was founded in 2002 and is headed by Professor Ioannis Emiris. It is part of the joint research team AROMATH affiliated with INRIA Sophia-Antipolis (France), and is also affiliated with the Institute for the Management of Information Systems of ATHENA Research and Innovation Center (Greece).

ARCADES project poster
A research team from the Department of Informatics and Telecommunications, under the supervision of Prof. Y. Emiris, coordinated the H2020 Marie Sklodowska Curie project ARCADES - Algebraic Representations in Computer-Aided Design for complEx Shapes. ARCADES aims at disrupting the traditional…
GRAPES - Learning, processing and optimising shapes
Members of the Department of Informatics and Telecommunications participate in GRAPES, an EU funded project that was submitted under the H2020-MSCA-ITN-2019 call and is part of the Marie Sklodowska-Curie Actions — Innovative Training Networks (ITN) funding scheme. GRAPES will fund 2 PhD candidates…
INSPIRED -  infrastructure in the field of Structural Biology
Researchers from the Department of Informatics and Telecommunications are participating in the INSPIRED infrastructure, which is the only Greek national infrastructure in the field of Structural Biology, with the website bioerga.di.uoa.gr. The INSPIRED infrastructure offers services mainly in the…
Learning and Analysing Massive / Big complex Data
The research project LAMBDA aims at transferring game changing technologies to the European industry in critical areas of Machine learning. Based on recent algorithmic breakthroughs, we adapt sophisticated methods to targeted industries, with a twofold goal: First, to help turn cutting edge tools…