A5091379507- Data Visualization and Analytics
- Data Analysis with R
- Scientific Computing and Data Management
- Cryptography and Data Security
- Chaos-based Image/Signal Encryption
- Video Analysis and Summarization
- Complex Network Analysis Techniques
- Cryptographic Implementations and Security
- Coding theory and cryptography
- Cryptography and Residue Arithmetic
- Human Mobility and Location-Based Analysis
- Retinal Imaging and Analysis
- Geographic Information Systems Studies
- Multimedia Communication and Technology
- Species Distribution and Climate Change
- Data Management and Algorithms
- Risk and Safety Analysis
- Complexity and Algorithms in Graphs
- Biomedical Text Mining and Ontologies
- Retinal and Optic Conditions
- Air Traffic Management and Optimization
- Mental Health Research Topics
- Traffic Prediction and Management Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
Ho Chi Minh City Medicine and Pharmacy University
2022-2024
University of Oxford
2022
Google (United States)
2022
The University of Tokyo
2020-2021
Case Western Reserve University
2020
University of Economics Ho Chi Minh City
2019
City, University of London
2018-2019
University of Stirling
2019
University of Oulu
2019
Universidad de Londres
2018
Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual, interactive techniques supporting the analysis. Findings results of analysis often need to be communicated an audience that lacks visual expertise. This requires outcomes presented in simpler ways than are typically used systems. However, not only analytical visualizations may too for target audiences but also information needs presented. Analysis consist multiple components, which involve...
Recently there has been increasing research interest in displaying graphs with curved edges to produce more readable visualizations. While are several automatic techniques, little done evaluate their effectiveness empirically. In this paper we present two experiments studying the impact of edge curvature on graph readability. The goal is understand advantages and disadvantages using for common tasks compared straight line segments, which conventional choice showing node-link diagrams. We...
Sensemaking is a process of finding meaning from information that often involves activities such as foraging and hypothesis generation. It can be valuable to maintain history the data reasoning involved. This history, commonly known provenance information, resource for "reflection-in-action"' during analysis, supporting collaboration between analysts, help trace quality uncertainty through analysis process. Currently, there limited work on utilizing analytic provenance, which captures...
Action sequences, where atomic user actions are represented in a labelled, timestamped form, becoming fundamental data asset the inspection and monitoring of behaviour digital systems. Although analysis such sequences is highly critical to investigation activities cyber security applications, existing solutions fail provide comprehensive understanding due complex semantic temporal characteristics these data. This paper presents visual analytics approach that aims facilitate user-involved,...
Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge informing further action. Understanding sensemaking allows building effective visual analytics tools to make sense large complex datasets. Currently, it often a manual time-consuming undertaking comprehend this: researchers collect observation data, transcribe screen capture videos think-aloud recordings, identify recurring patterns, eventually abstract into...
Sensemaking is described as the process in which people collect, organize and create representations of information, all centered around some problem they need to understand. People often get lost when solving complicated tasks using big datasets over long periods exploration analysis. They may forget what have done, are unaware where context overall task, unsure continue. In this paper, we introduce a tool, SenseMap, address these issues browser-based online sensemaking. We conducted...
User behaviour analytics (UBA) systems offer sophisticated models that capture users' over time with an aim to identify fraudulent activities do not match their profiles. Motivated by the challenges in interpretation of UBA models, this paper presents a visual approach help analysts gain comprehensive understanding user at multiple levels, namely individual and group level. We take user-centred design framework supporting analysis collections users numerous sessions they conduct within...
The effort for combating the COVID-19 pandemic around world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges epidemiology, healthcare, biosciences, social sciences, there been an urgent need develop provide visualisation visual analytics (VIS) capacities support emergency responses under difficult operational conditions. this paper, we report experience group VIS volunteers who have...
We describe and demonstrate an extensible framework that supports data exploration provenance in the context of Human Terrain Analysis (HTA). Working closely with defence analysts we extract requirements a list features characterise analysed at end HTA chain. From these, select appropriate non-classified source analogous features, model it as set facets. develop ProveML, XML-based extension Open Provenance Model, using these facets augment structures necessary to record data, analytical...
We define behavior as a set of actions performed by some actor during period time. consider the problem analyzing large collection behaviors multiple actors, more specifically, identifying typical and spotting anomalous behaviors. propose an approach leveraging topic modeling techniques - LDA (Latent Dirichlet Allocation) Ensembles to represent categories topics that are obtained through collection. When such methods applied text in natural languages, quality extracted usually judged based...
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting reflecting upon knowledge constructs-a series of ideas, approaches methods taken from existing research practice-deployed developed to support modelling the COVID-19 pandemic. Structured independent commentary these efforts is synthesized through iterative reflection develop: evidence effectiveness value in this context; open problems which communities may focus; guidance for...
Timeline visualization is an important tool for sense making. It allows analysts to examine information in chronological order and identify temporal patterns relationships. However, many existing timeline methods are not designed the dynamic iterative nature of making process various analysis activities it involves. In this paper, we introduce a novel visualization, Schema Line, address these deficiencies. Line group notes into analyst-determined schema, using layout algorithm produce...
In this article, we introduce a novel timeline visualization technique, TimeSets, that helps make sense of complex temporal datasets by showing the set relationships among individual events. TimeSets visually groups events share topic, such as place or person, while preserving their order. It dynamically adjusts level detail for each event to suit amount information and display estate. Various design options were explored address issues one belonging multiple topics. A controlled experiment...
We present the design and development of a data visualization service (RAMPVIS) in response to urgent need support epidemiological modeling workflows during COVID-19 pandemic. Facing set demanding requirements several practical challenges, our small team volunteers had rely on existing knowledge components services computing, while thinking feet configuring composition adopting suitable approaches engineering. Through developing RAMPVIS service, we have gained useful experience ensuring...
User behavior analysis is complex and especially crucial in the cyber security domain. Understanding dynamic multi-variate user are challenging. Traditional sequential timeline based method cannot easily address complexity of temporal relational features behaviors. We propose a map-based visual metaphor create an interactive map for encoding It enables analysts to explore identify patterns helps them understand why some behaviors regarded as anomalous. experiment with real dataset containing...
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists modeling scientists, we encountered a technical challenge applying number designs numerous datasets rapidly reliably with limited development resources. this paper, present solution address challenge. Operationally, separate tasks data management, designs, plots dashboard deployment in order streamline workflow. Technically, utilize: ontology bring datasets,...