EDBT 2026 Demo / reviewers in the wild / expert
Jonathan E. Makem
dblp:25/11468
· DBLP profile ↗
4ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0002-8666-9578ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
3 papers |
Geometric modeling and processing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
mesh generation |
1.3 | 3 | 2022 | Bicameral Mesh Gradation with a Controlled Advancing Front Approach · Comput. Aided Des. 2022 Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020 Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018 |
Geometric modeling and processing › mesh generation
structured meshing |
0.8 | 2 | 2020 | Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020 Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018 |
Geometric modeling and processing
feature recognition |
0.4 | 1 | 2020 | Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020 |
Geometric modeling and processing › vector field design
cross fields |
0.3 | 1 | 2018 | Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018 |
Computational science and engineering
finite element analysis |
0.1 | 1 | 2012 | A virtual inspection framework for precision manufacturing of aerofoil components · Comput. Aided Des. 2012 |
Geometric modeling and processing › shape analysis
medial axis |
0.1 | 1 | 2020 | Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020 |
Methods — techniques the papers use, named apart from their topics
advancing front approach · 0.6singularity analysis · 0.3registration · 0.1free-form surface evaluation · 0.1finite element method · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Bicameral Mesh Gradation with a Controlled Advancing Front Approach
Nilanjan Mukherjee 0002, Jean Cabello, Jonathan E. Makem |
Comput. Aided Des. | 3 |
| 2020 | Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels
Jonathan E. Makem, Harold J. Fogg, Nilanjan Mukherjee 0002 |
Comput. Aided Des. | 1 |
| 2018 | Singularities in structured meshes and cross-fields
Harold J. Fogg, Jonathan E. Makem, Cecil G. Armstrong, Trevor T. Robinson |
Comput. Aided Des. | 3 |
| 2012 | A virtual inspection framework for precision manufacturing of aerofoil componentsabstractThe finite element method plays an extremely important role in forging process design as it provides a valid means to quantify forging errors and thereby govern die shape modification to improve the dimensional accuracy of the component. However, this dependency on process simulation could raise significant problems and present a major drawback if the finite element simulation results were inaccurate. This paper presents a novel approach to assess the dimensional accuracy and shape quality of aeroengine blades formed from finite element hot-forging simulation. The proposed virtual inspection system uses conventional algorithms adopted by modern coordinate measurement processes as well as the latest free-form surface evaluation techniques to provide a robust framework for virtual forging error assessment. Established techniques for the physical registration of real components have been adapted to localise virtual models in relation to a nominal design model. Blades are then automatically analysed using a series of intelligent routines to generate measurement data and compute dimensional errors. The results of a comparison study indicate that the virtual inspection results and actual coordinate measurement data are highly comparable and the procedures for registration and virtual inspection are computationally efficient, validating the approach as an effective and accurate means to quantify forging error in a virtual environment. Consequently, this provides adequate justification for the implementation of the virtual inspection system in the virtual process design, modelling and validation of forged aeroengine blades in industry. Jonathan E. Makem, Hengan Ou, Cecil G. Armstrong |
Comput. Aided Des. | 1 |