Research

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The Visualization (Vis) & Visual Analytics (VA) research theme focuses on algorithms and mathematical models to present, transform and convert complex scientific multi-{modal, scale, variate} data into an efficient and effective visual representation that humans can rapidly and efficiently understand, analyze, and comprehend.



(a) de Carvalho et al. '16; (b) Rocha et al. '17a; (c) Taerum et al. '06;(d) Mostafa et al. '13a;
Cevolani et al. '13; Sahaf et al. '17a; (e) Amorim E et al. '15.

Visualization (Vis) -- Focus on the area of illustrative visualization, based on principles from traditional scientific illustration to emphasize specific features, to expose subtle attributes, to omit extraneous information, among other visual communication goals.
Visual Analytics (VA) -- Focus on interactive visual representations and analytical reasoning models to extract, cluster, and compute similarities and correlations between samples from high-dimensional data and large parameter spaces. In our prototypes, the Vis and VA sub-sytems exchange data during user interactions to enable a eamless Vis&VA integrated workflow experience.

Theses & Dissertations - PhD and MSc (Thesis-based)

01.

Multidimensional Projection Visualization:
Control-Points Selection and Inverse Projection Exploration

Amorim E,
PhD

02.

Global Sensitivity and Visual Analysis of
Reservoir Models with Large Number of Parameters

Karami Moghadam
PhD

03.

Tackling the Occlusion Problem in 3D Grids

Martins Filho,
MSc

04.

PetroVis & FractVis:
Interactive Visual Exploration of High-dimensional Oil and Gas Data

Mostafa
MSc

05.

Visualization of Multivariate Data on Surfaces

Rocha
PhD

06.

Visual Analytics Framework for Exploring Uncertainty in Reservoir Models

Sahaf
PhD

07.

Real-Time Super Resolution Contextual Close-up of Clinical Volumetric Data

Taerum
MSc

Other Related Projects (RT-3: Vis&VA)

Publications

01.

Illustrative Visualization

Costa Sousa '06(a,b), Costa Sousa et al. '05(a, b)

02.

Hybrid Visibility Compositing & Masking

Bruckner et al. '10

03.

Survey Vis&VA and other RT applied to Geoscience

Costa Sousa et al. '15

04.

Visual Steering for Geological Well Testing

Hamdi et al. '15d. Also related: Hamdi et al. '19b, '16, '15a, '13 --
i.e., RT-4: M&S, Geological Well Test

05.

Scientific/Medical Illustration & Vis.

Viola & Costa Sousa '08, Ebert & Costa Sousa '05, Costa Sousa '05a

Also, refer to:

Costa Sousa, MSc (1994).
Scientific 3D Visualization of the Numerical Simulation of Petroleum Reservoirs.
Computer Science, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil.
Publications (RT-3: Vis&VA): Costa Sousa & Miranda-Filho '94, Costa Sousa '93


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