Mohammad Ghoniem | Luxembourg Institute of Science and Technology (original) (raw)

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Papers by Mohammad Ghoniem

Interactive wall displays are increasingly used in various fields. Their configuration varies in ... more Interactive wall displays are increasingly used in various fields. Their configuration varies in terms of size, orientation, visualisation technology, display, interaction means, application area and location. Such diversity makes the design for wall displays very challenging. To better understand the challenges related to the design for wall displays, we ran a focus group with researchers involved in the design of applications and interaction techniques for wall displays. In this paper we present the most important challenges organized in nine different categories. CCS Concepts: • Human-centered computing → Interaction design; Touch screens; Displays and imagers.

arXiv (Cornell University), Aug 7, 2023

Interpreting a node-link graph is enhanced if similar subgraphs (or 'motifs') are depicted in a s... more Interpreting a node-link graph is enhanced if similar subgraphs (or 'motifs') are depicted in a similar manner-that is, they have the same visual form. Small motifs within graphs may be perceived to be identical when they are structurally dissimilar, or may be perceived to be dissimilar when they are identical. This issue primarily relates to the Gestalt principle of similarity, but may also include an element of quick, low-level pattern-matching. We believe that if motifs are identical, they should be depicted identically; if they are nearly-identical, they should be depicted nearly-identically. This principle is particularly important in domains where motifs hold meaning and where their identification is important. We identified five small motifs: bi-cliques, cliques, cycles, double-cycles, and stars. For each, we defined visual variations on two dimensions-same or different structure, same or different shape. We conducted a crowd-sourced empirical study to test the perception of similarity of these varied motifs, and found that determining whether motifs are identical or similar is affected by both shape and structure.

BMC Medical Research Methodology, Sep 6, 2021

Background: Systematic and scoping literature searches are increasingly resource intensive. We pr... more Background: Systematic and scoping literature searches are increasingly resource intensive. We present the results of a scoping review which combines the use of a novel artificial-intelligence-(AI)-assisted Medline search tool with two other 'traditional' literature search methods. We illustrate this novel approach with a case study to identify and map the range of conditions (clinical presentations, complications, coinfections and health problems) associated with gonorrhoea infection. Methods: To fully characterize the range of health outcomes associated with gonorrhoea, we combined a high yield preliminary search with a traditional systematic search, then supplemented with the output of a novel AIassisted Medline search tool based on natural language processing methods to identify eligible literature. Results: We identified 189 health conditions associated with gonorrhoea infection of which: 53 were identified through the initial 'high yield' search; 99 through the systematic search; and 124 through the AI-assisted search. These were extracted from 107 unique references and 21 International Statistical Classification of Diseases and Related Health Problems Ninth and Tenth Revision (ICD 9/10) or Read codes. Health conditions were mapped to the urogenital tract (n = 86), anorectal tract (n = 6) oropharyngeal tract (n = 5) and the eye (n = 14); and other conditions such as systemic (n = 61) and neonatal conditions (n = 7), psychosocial associations (n = 3), and coinfections (n = 7). The 107 unique references attained a Scottish Intercollegiate Guidelines Network (SIGN) score of ≥ 2++ (n = 2), 2+ (14 [13%]), 2-(30 [28%]) and 3 (45 [42%]), respectively. The remaining papers (n = 16) were reviews. Conclusions: Through AI screening of Medline, we capturedtitles, abstracts, case reports and case series related to rare but serious health conditions related to gonorrhoea infection. These outcomes might otherwise have been missed during a systematic search. The AI-assisted search provided a useful addition to traditional/manual literature searches especially when rapid results are required in an exploratory setting.

BMC Medical Research Methodology, Dec 1, 2021

Adjunct Proceedings of the 34th Conference on l'Interaction Humain-Machine

Synthesis lectures on visualization, 2021

Electronic Imaging, 2019

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

arXiv (Cornell University), Dec 8, 2022

In the past few years, large high-resolution displays (LHRDs) have attracted considerable attenti... more In the past few years, large high-resolution displays (LHRDs) have attracted considerable attention from researchers, industries, and application areas that increasingly rely on data-driven decision-making. An up-to-date survey on the use of LHRDs for interactive data visualization seems warranted to summarize how new solutions meet the characteristics and requirements of LHRDs and take advantage of their unique benefits. In this survey, we start by defining LHRDs and outlining the consequence of LHRD environments on interactive visualizations in terms of more pixels, space, users, and devices. Then, we review related literature along the four axes of visualization, interaction, evaluation studies, and applications. With these four axes, our survey provides a unique perspective and covers a broad range of aspects being relevant when developing interactive visual data analysis solutions for LHRDs. We conclude this survey by reflecting on a number of opportunities for future research to help the community take up the still open challenges of interactive visualization on LHRDs.

Synthesis lectures on visualization, 2021

Synthesis lectures on visualization, 2021

<p>ICoVeR is an interactive visualization tool for binning of metagenomics data. It allows ... more <p>ICoVeR is an interactive visualization tool for binning of metagenomics data. It allows comparing results of multiple automated binning techniques and provides means to analyze bins in more detail. Its interactive visualization features help to get deeper insight in the structure of bins and interaction between bins.</p

2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 2019

We participated in the 2019 IEEE VAST Challenge MC3 with the help of Papyrus, a Visual Analytics ... more We participated in the 2019 IEEE VAST Challenge MC3 with the help of Papyrus, a Visual Analytics software for the exploration of text collections. Papyrus extracts terms associations with a bi-clustering approach and organizes them in a term hierarchy. Its visualization helps analyst explore social media messages posted by citizen to anticipate emergency response after a disaster event.

Additional file 5: Supplementary Text 5.1. Full list of health outcomes identified through the co... more Additional file 5: Supplementary Text 5.1. Full list of health outcomes identified through the combination of the AI and other searches, with references and SIGN scores. Supplementary Text 5.2. List of extracted 'topic words' related references and health outcomes identified through AI-assisted literature search.

Additional file 3: Supplementary Table 3 Systematic search Strategy and number of records retriev... more Additional file 3: Supplementary Table 3 Systematic search Strategy and number of records retrieved. Supplementary Table 4 Inclusions from systematic search.

The real world systems modelled by multilayer networks are frequently characterised by a high lev... more The real world systems modelled by multilayer networks are frequently characterised by a high level of complexity. Understanding the most suitable definition of layer that can help a user is a significant challenge. Due to the scale of many datasets, even finding the entities and relationships that are of interest to the user is difficult. In this work we describe the issues with working with large multilayer data sources, based on the development of a multilayer network visualization prototype. We present an in-progress prototype and discuss future research directions for creating multilayer networks visualization of data extracted from massive sources.

In large text corpora, analytic journalists need to identify facts, verify them by locating corro... more In large text corpora, analytic journalists need to identify facts, verify them by locating corroborating documents and survey all related viewpoints. This requires them to make sense of document relationships at two levels of granularity: high-level topics and low-level topic variants. We propose a visual analytics software allowing analytic journalists to verify and refine hypotheses without having to read all documents. Our system relies on a hybrid biclustering approach. A new Topic Weighted Map visualization conveys all top-level topics reflecting their importance and their relative similarity. Then, coordinated multiple views allow to drill down into topic variants through an interactive term hierarchy visualization. Hence, the analyst can select, compare and filter out the subtle co-occurrences of terms shared by multiple documents to find interesting facts or stories. The usefulness of the tool is shown through a usage scenario and further assessed through a qualitative eval...

Interactive wall displays are increasingly used in various fields. Their configuration varies in ... more Interactive wall displays are increasingly used in various fields. Their configuration varies in terms of size, orientation, visualisation technology, display, interaction means, application area and location. Such diversity makes the design for wall displays very challenging. To better understand the challenges related to the design for wall displays, we ran a focus group with researchers involved in the design of applications and interaction techniques for wall displays. In this paper we present the most important challenges organized in nine different categories. CCS Concepts: • Human-centered computing → Interaction design; Touch screens; Displays and imagers.

arXiv (Cornell University), Aug 7, 2023

Interpreting a node-link graph is enhanced if similar subgraphs (or 'motifs') are depicted in a s... more Interpreting a node-link graph is enhanced if similar subgraphs (or 'motifs') are depicted in a similar manner-that is, they have the same visual form. Small motifs within graphs may be perceived to be identical when they are structurally dissimilar, or may be perceived to be dissimilar when they are identical. This issue primarily relates to the Gestalt principle of similarity, but may also include an element of quick, low-level pattern-matching. We believe that if motifs are identical, they should be depicted identically; if they are nearly-identical, they should be depicted nearly-identically. This principle is particularly important in domains where motifs hold meaning and where their identification is important. We identified five small motifs: bi-cliques, cliques, cycles, double-cycles, and stars. For each, we defined visual variations on two dimensions-same or different structure, same or different shape. We conducted a crowd-sourced empirical study to test the perception of similarity of these varied motifs, and found that determining whether motifs are identical or similar is affected by both shape and structure.

BMC Medical Research Methodology, Sep 6, 2021

Background: Systematic and scoping literature searches are increasingly resource intensive. We pr... more Background: Systematic and scoping literature searches are increasingly resource intensive. We present the results of a scoping review which combines the use of a novel artificial-intelligence-(AI)-assisted Medline search tool with two other 'traditional' literature search methods. We illustrate this novel approach with a case study to identify and map the range of conditions (clinical presentations, complications, coinfections and health problems) associated with gonorrhoea infection. Methods: To fully characterize the range of health outcomes associated with gonorrhoea, we combined a high yield preliminary search with a traditional systematic search, then supplemented with the output of a novel AIassisted Medline search tool based on natural language processing methods to identify eligible literature. Results: We identified 189 health conditions associated with gonorrhoea infection of which: 53 were identified through the initial 'high yield' search; 99 through the systematic search; and 124 through the AI-assisted search. These were extracted from 107 unique references and 21 International Statistical Classification of Diseases and Related Health Problems Ninth and Tenth Revision (ICD 9/10) or Read codes. Health conditions were mapped to the urogenital tract (n = 86), anorectal tract (n = 6) oropharyngeal tract (n = 5) and the eye (n = 14); and other conditions such as systemic (n = 61) and neonatal conditions (n = 7), psychosocial associations (n = 3), and coinfections (n = 7). The 107 unique references attained a Scottish Intercollegiate Guidelines Network (SIGN) score of ≥ 2++ (n = 2), 2+ (14 [13%]), 2-(30 [28%]) and 3 (45 [42%]), respectively. The remaining papers (n = 16) were reviews. Conclusions: Through AI screening of Medline, we capturedtitles, abstracts, case reports and case series related to rare but serious health conditions related to gonorrhoea infection. These outcomes might otherwise have been missed during a systematic search. The AI-assisted search provided a useful addition to traditional/manual literature searches especially when rapid results are required in an exploratory setting.

BMC Medical Research Methodology, Dec 1, 2021

Adjunct Proceedings of the 34th Conference on l'Interaction Humain-Machine

Synthesis lectures on visualization, 2021

Electronic Imaging, 2019

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

arXiv (Cornell University), Dec 8, 2022

In the past few years, large high-resolution displays (LHRDs) have attracted considerable attenti... more In the past few years, large high-resolution displays (LHRDs) have attracted considerable attention from researchers, industries, and application areas that increasingly rely on data-driven decision-making. An up-to-date survey on the use of LHRDs for interactive data visualization seems warranted to summarize how new solutions meet the characteristics and requirements of LHRDs and take advantage of their unique benefits. In this survey, we start by defining LHRDs and outlining the consequence of LHRD environments on interactive visualizations in terms of more pixels, space, users, and devices. Then, we review related literature along the four axes of visualization, interaction, evaluation studies, and applications. With these four axes, our survey provides a unique perspective and covers a broad range of aspects being relevant when developing interactive visual data analysis solutions for LHRDs. We conclude this survey by reflecting on a number of opportunities for future research to help the community take up the still open challenges of interactive visualization on LHRDs.

Synthesis lectures on visualization, 2021

Synthesis lectures on visualization, 2021

<p>ICoVeR is an interactive visualization tool for binning of metagenomics data. It allows ... more <p>ICoVeR is an interactive visualization tool for binning of metagenomics data. It allows comparing results of multiple automated binning techniques and provides means to analyze bins in more detail. Its interactive visualization features help to get deeper insight in the structure of bins and interaction between bins.</p

2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 2019

We participated in the 2019 IEEE VAST Challenge MC3 with the help of Papyrus, a Visual Analytics ... more We participated in the 2019 IEEE VAST Challenge MC3 with the help of Papyrus, a Visual Analytics software for the exploration of text collections. Papyrus extracts terms associations with a bi-clustering approach and organizes them in a term hierarchy. Its visualization helps analyst explore social media messages posted by citizen to anticipate emergency response after a disaster event.

Additional file 5: Supplementary Text 5.1. Full list of health outcomes identified through the co... more Additional file 5: Supplementary Text 5.1. Full list of health outcomes identified through the combination of the AI and other searches, with references and SIGN scores. Supplementary Text 5.2. List of extracted 'topic words' related references and health outcomes identified through AI-assisted literature search.

Additional file 3: Supplementary Table 3 Systematic search Strategy and number of records retriev... more Additional file 3: Supplementary Table 3 Systematic search Strategy and number of records retrieved. Supplementary Table 4 Inclusions from systematic search.

The real world systems modelled by multilayer networks are frequently characterised by a high lev... more The real world systems modelled by multilayer networks are frequently characterised by a high level of complexity. Understanding the most suitable definition of layer that can help a user is a significant challenge. Due to the scale of many datasets, even finding the entities and relationships that are of interest to the user is difficult. In this work we describe the issues with working with large multilayer data sources, based on the development of a multilayer network visualization prototype. We present an in-progress prototype and discuss future research directions for creating multilayer networks visualization of data extracted from massive sources.

In large text corpora, analytic journalists need to identify facts, verify them by locating corro... more In large text corpora, analytic journalists need to identify facts, verify them by locating corroborating documents and survey all related viewpoints. This requires them to make sense of document relationships at two levels of granularity: high-level topics and low-level topic variants. We propose a visual analytics software allowing analytic journalists to verify and refine hypotheses without having to read all documents. Our system relies on a hybrid biclustering approach. A new Topic Weighted Map visualization conveys all top-level topics reflecting their importance and their relative similarity. Then, coordinated multiple views allow to drill down into topic variants through an interactive term hierarchy visualization. Hence, the analyst can select, compare and filter out the subtle co-occurrences of terms shared by multiple documents to find interesting facts or stories. The usefulness of the tool is shown through a usage scenario and further assessed through a qualitative eval...