Publications

Preprints of GRAPES technical reports, journal and conference papers, and open research data will be posted here.

Author(s)TitleStatus
1Shahroz Khan, Andrea Serani, Matteo Diez, Panagiotis Kaklis Physics-Informed Feature-to-Feature Learning for Design-Space Dimensionality Reduction in Shape Optimisation
(Preprint)
published
2Carlos D'Andrea, Gabriela Jeronimo, Martin SombraThe Canny-Emiris conjecture for the sparse resultant
(Preprint)
submitted
3Cortadellas Benítez, Teresa; D'Andrea, Carlos; Montoro, EulàliaBounds for degrees of minimal mu-bases of parametric surfaces.
(Preprint)
published
4Angelos Mantzaflaris, Bernard Mourrain, Agnes SzantoPunctual Hilbert scheme and certified approximate singularities
(Preprint)
published
5Angelos Mantzaflaris, Bernard Mourrain, Agnes SzantoA certified iterative method for isolated singular roots
(Preprint)
submitted
6Andriamahenina Ramanantoanina, Kai HormannNew shape control tools for rational Bézier curve design
(Preprint)
published
7Oliver J.D. Barrowclough, Georg Muntingh, Varatharajan Nainamalai, Ivar StangebyNew shape control tools for rational Bézier curve design
(Preprint)
published
8Thanasis Zoumpekas, Anna Puig, Maria Salamó, David Garcı́a-Sellés, Laura Blanco Nuñez, Marta GuinauNew shape control tools for rational Bézier curve design
(Preprint)
published
9 Thanasis Zoumpekas, Guillem Molina, Maria Salamó, Anna PuigBenchmarking Deep Learning Models on Point Cloud Segmentationpublished
10Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo DiezSupporting Expensive Physical Models With Geometric Moment Invariants to Accelerate Sensitivity Analysis for Shape Optimisation.
(Preprint)
accepted for publication
11Shahroz Khan, Panagiotis KaklisFrom regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes: Application to ship design.
(Preprint)
published
12Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo DiezGeometric Moment-Dependent Sensitivity Analysis for Shape Optimisation Without Simulation Data: Application to Ship Design.
(Preprint)
published
13 Thanasis Zoumpekas, Guillem Molina, Maria Salamó, Anna PuigCLOSED: A Dashboard for 3D Point Cloud Segmentation Analysis using Deep Learningpublished
14Laurent Busé, Pablo González-Mazón, Josef SchichoTrilinear birational maps in dimension threesubmitted
15Krunal Raval, Carla Manni, Hendrik Speleers Tchebycheffian B-splines in isogeometric Galerkin methods , (Preprint)published
16Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo Diez, Konstantinos Kostas
Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments.
(Preprint)
published
17Michelangelo Marsala Angelos Mantzaflaris, Bernard Mourrain

G1 – Smooth biquintic approximation of Catmull-Clark subdivision surfaces.
(Preprint)
published
18Eriola Hoxhaj, Jean Michel Menjanahary, Josef SchichoUsing Algebraic Geometry to Reconstruct a Darboux Cyclide from a Calibrated Camera Picture submitted
19Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Emiris, Yannis Avrithis, Leonidas GuibasPartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Preprint
published
20Andriamahenina Ramanantoanina, Kai HormannShape control tools for periodic Bézier curves, (Preprint)published
21Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas, Panagiotis KaklisShape control tools for periodic Bézier curvespublished
22Michelangelo Marsala Angelos Mantzaflaris, Bernard Mourrain
G1 spline functions for point cloud fittingpublished
23Krunal Raval, Carla Manni, Hendrik Speleers Adaptive Isogeometric Analysis Based on Locally Refined Tchebycheffian B-Splines submitted

PhD Theses of GRAPES ESRs

The following PhD Theses have been completed up to now.

  1. Carles Checa (ATHENA). Thesis title: “Multihomogeneous and sparse polynomial systems: resultants, Gröbner bases and regularity.”
  2. Thanasis Zoumpekas (UB). Thesis title: “Advancing 3D Point Cloud Understanding in Real-World Applications”.
  3. Pablo González-Mazón (Inria). Thesis title: “Effective methods for multilinear birational transformations and contributions to polynomial data analysis”
  4. Michelangelo Marsala (Inria). Thesis title: “Modeling, approximation and simulation using smooth splines on unstructured meshes.”
  5. Eriola Hoxhaj (JKU). Thesis title: “Reconstruction of Surfaces and Planar Maps from their Branching Curves and Planar Sections”.
  6. Shahroz khan (uoS). Thesis title: “IDEAS@MI: Intelligent Data-driven systEms for digitAl deSign in Maritime Industry.”
  7. Arturs Bezins (SINTEF). Thesis title: “Neural Representations in Geometry.”
  8. Krunal Raval (UTV). Thesis title: “Non-uniform Degree and Spline Technologies for Adaptive Isogeometric Analysis”
  9. Rao Fu (GeometryFactory/Inria). Thesis title: “Shape reconstruction from 3D point clouds”

Open data

  • Leutgeb, Alexander; Zoumpekas, Thanasis; Salamó Llorente, Maria; Puig, Anna, 2022, “TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process”, https://doi.org/10.34810/data205, CORA. Repositori de Dades de Recerca, V1
  • García Sellés, David; Guinau Sellés, Marta; Blanco Nuñez, Laura; Zoumpekas, Thanasis; Puig Puig, Anna; Salamó Llorente, Maria, 2022, “Results of Monitoring 3D Point Cloud from Degotalls (Montserrat Massif, Spain)”, https://doi.org/10.34810/data199, CORA.Repositori de Dades de Recerca, V1

GRAPES Book

The GRAPES Book collects some of the project results of our ESRs. It contains the extended abstracts of the completed PhD Theses of the fellows. The book will be updated regularly to eventually include the abstracts of the completed theses of the ESRs. The full theses will be published in this page upon completion.


Acknowledgements / EU funding visibility

Any dissemination of results (in any form, including electronic) must:

  1. display the EU emblem and
  2. include the following text:
    • For communication activities: “This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860843”.
    • For infrastructure, equipment and major results: “This [infrastructure][equipment][insert type of result] is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860843”.

For more information on how to acknowledge EU funding see the : H2020 online manual