Thematic Lines (or Strands)

CIDMA has the following Thematic Lines (or Strands), which are transversal to the several CIDMA groups:

• BioMath - Biomathematics (since 2019/Jan)
• GEOMETRIX - a multidisciplinary research and development project with the focus in producing educational software and serious games.   
• MATEAS - Mathematics: Teaching and Assessment in Higher Education
• MI - Mathematics for the Industry (since 2019/Jan)
• PICS - Inverse Problems and Applications in Health Sciences
• TFC - From Theory to Computational Frameworks (since 2019/Jan)

The Thematic Lines allow extra interaction between CIDMA groups in view of the specific goals. As an example, we present some of the recently activities of the strands:

• GEOMETRIX: (1) implemented a prototype of LEMA, a learning environment of mathematics for autistic children) based on the analysis of the collected data obtained in training sessions with special education teachers; (2) created GeoGebra tools for Spherical Geometry and exploration of spherical tilings; (3) supervised a PhD student and 6 fellowships ; (4) organized the National Congress of Autism and Mathematics.
• MATEAS executed two four-month grants for programmers, who worked in projects MEGUA and SIACUA. An interface was created allowing the authoring of parameterized contents with MEGUA inside SIACUA and a web application was developed improving some MEGUA features. A total of 10 lectures were presented in the MATEAS Seminar, 1 of them by ourselves. Some pedagogical efficiency studies were performed (flipped classroom, storytelling, item response theory). A variety of learning objects was created.
• MI, in 2018, the thematic line Mathematics for Industry was involved in a CoLAB application, CoM(IN)2, which consisted of a consortium of 5 companies and 8 research centres. The final decision of the evaluation panel was communicated in December 2018: CoM(IN)2 was not considered eligible for funding. Additionally, it supported the participation of CIDMA members in an ECMI event, the 20th European Conference on Mathematics for Industry, which was held in Budapest, Hungary.
• In PICS the work focused on the detection of nodules by monogenic curvelets and their replacement by quasi- monogenic shearlets. In the modelation of ophthalmic surfaces by special orthogonal polynomials, besides fractional Zernike polynomials the usability of special Chebyshev polynomials was studied. Furthermore, we began to study the possibility to use scattering and deep neural networks for the classification of radiological images.
• TFC, in 2018, developed the computational frameworks: Invariants Calculation and Image Representation of Lexicographic Polynomials of Graphs (W1), Real Object Identification and Tracking as an Innovative Computer Input Device (W2), Optimal Inspection Management for Reinforced Concrete Structures under Corrosion Risk (W3), Dynamic multi-criteria decision-making model for the maintenance planning of reinforced concrete structures (W4), for more details see the LT-TFC 2018 poster.