Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael Turner
dblp:145/1691
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Geometric modeling and processing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
mesh generation |
0.3 | 1 | 2018 | Curvilinear mesh generation using a variational framework · Comput. Aided Des. 2018 |
Parallel and multicore computing
parallel computing |
0.1 | 1 | 2018 | Curvilinear mesh generation using a variational framework · Comput. Aided Des. 2018 |
Parallel and multicore computing › parallel computing › parallel scientific computing
parallel mesh generation |
0.1 | 1 | 2018 | Curvilinear mesh generation using a variational framework · Comput. Aided Des. 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Statistical Modeling of Temperature Trajectories to Assess Risk of Postoperative Complications
Rema Padman, Jennifer Grant, Urmila Ravichandran, Michael Turner, Prashanth Raja, Yazhini Mathiyalagan, Ronak Parikh, Ari Robicsek, Nirav Shah 0004 |
AMIA | 4 |
| 2018 | Curvilinear mesh generation using a variational frameworkabstractWe aim to tackle the challenge of generating unstructured high-order meshes of complex three-dimensional bodies, which remains a significant bottleneck in the wider adoption of high-order methods. In particular we show that by adopting a variational approach to the generation process, many of the current popular high-order generation methods can be encompassed under a single unifying framework. This allows us to compare the effectiveness of these methods and to assess the quality of the meshes they produce in a systematic fashion. We present a detailed overview of the theory and formulation of the variational framework, and we highlight how such formulation can be effectively exploited to yield a highly-efficient parallel implementation. The effectiveness of this approach is examined by considering a number of two- and three-dimensional examples, where we show how the proposed approach can be used for both mesh quality optimisation and untangling of invalid high-order meshes. Michael Turner, Joaquim Peiró, David Moxey |
Comput. Aided Des. | 1 |
| 2014 | Context-Aware Multifactor Authentication Based on Dynamic Pin
Yair Diaz-Tellez, Eliane L. Bodanese, Theodosis Dimitrakos, Michael Turner |
SEC | 4 |