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Participation at IV 2022

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Our group presented at this year’s Information Visualisation Conference (iV 2022) two papers entitled “Visual Analytics for Systematic Reviews According to PRISMA” and “Visual Collaboration – An Approach for Visual Analytical Collaborative Research”. In addition, Professor Kawa Nazemi, the head of the research group, was a co-chair of the conference and chaired the program committee and various sessions and tracks. Due to the ease of COVID travel restrictions, we were able to participate in person Vienna. The iV 2022 is an international conference that aims to provide a foundation for integrating information visualization’s human-centered, technological and strategic aspects to promote international exchange, cooperation, and development.

Paper #1: Visual Analytics for Systematic Reviews According to PRISMA

Lead author: Lennart B. Sina

Abstract:
Systematic reviews play an essential role in various disciplines. Particularly, in biomedical sciences, systematic reviews according to a predefined schema and protocol are how related literature is analyzed. Although a protocol-based systematic review is replicable and provides the required information to reproduce each step and refine them, such a systematic review is time-consuming and may get complex. To face this challenge, automatic methods can be applied that support researchers in their systematic analysis process. The combination of artificial intelligence for automatic information extraction from scientific literature with interactive visualizations as a Visual Analytics system can lead to sophisticated analysis and protocoling of the review process. We introduce in this paper a novel Visual Analytics approach and system that enables researchers to visually search and explore scientific publications and generate a protocol based on the PRISMA protocol and the PRISMA statement.

Link to paper/fulltext: Soon available

Paper #2: Visual Collaboration – An Approach for Visual Analytical Collaborative Research

Lead author: Midhad Blazevic

Abstract:

Studies have shown that collaboration in scientific fields is rising and considered enormously important. However, collaboration has proved to be challenging for various reasons, among others, the requirements for human-machine workflows. The importance of scientific collaboration lies in the complexity of the challenges that are faced today. The more complex the challenge, the more scientists should work together. The current form of collaboration in the scientific community is not as intelligent as it should be. Scientists have to multitask with various applications, often losing cognitive focus. Collaboration itself is very nearsighted as it is usually conducted not solely based on expertise but instead on social or local networks. We introduce a single-source visual collaboration approach based on learning methods in this work. We use machine learning and natural language processing approaches to improve the traditional research and development process and create a system that facilitates and encourages collaboration based on expertise, enhancing the research collaboration process in many ways. Our approach combines collaborative Visual Analytics with enhanced collaboration techniques to support researchers from different disciplines

Link to paper/fulltext: Soon available

Advisory Board of the EUt+ Academic Press

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Professor Kawa Nazemi was assigned as an advisory board member of the academic press of the European University of Technology (EUt+).

The EUt+ is an alliance of eight universities that make up the European University of Technology. The partners are Technical University of Sofia, Cyprus University of Technology, University of Technology Troyes, Hochschule Darmstadt, University of Applied Sciences, Technological University Dublin, Riga Technical University, Technical University of Cluj-Napoca, Technical University of Cartagena.

The EUT+ is part of the European initiative to build a European Education Area. The EUT+ Academic Press is an open access academic press. All material is free to read online. The academic press is committed to the principle that scholarship should be available to all without barriers or paywalls. It offers authors a global readership and thus contributes to the dissemination of knowledge. The academic press welcomes quality works of scholarship regardless of the subject area. The material is licensed under Creative Commons Attribution-Non-commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license We are committed to Gold Open Access which is the free, immediate and permanent online access to a publication’s version of record. Currently, there are no fees for authors.

Please find more information here.

Book appeared – Integrating Artificial Intelligence and Visualization

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Professor Kawa Nazemi edited together with colleagues from the London South Bank University, Instituto Superior de Engenharia de Lisboa, and the Central Washington University enhanced contributions of selected papers of the International Conference on Information Visualisation particularly on the intersection of artificial intelligence and visualization. The book will appear in the series Studies in Computational Intelligence by Springer Nature. The book “Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery” is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytics. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is a fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering “n-D glasses,” where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.
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Establishment of an Afghanistan Online University

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The Human-Computer Interaction and Visual Analytics group of the Darmstadt University of Applied Sciences led the technical sessions on the first conference on establishing the Afghanistan Online University. Prof. Dr. Kawa Nazemi was assigned to the steering committee and the coordination team of the envisaged university.

The Afghanistan Online University aims to provide young persons of Afghan origin living outside Afghanistan – notably those living in refugee camps and other precarious settings – the opportunity to acquire general professional competencies and expertise in Afghan culture and society. A comprehensive system of online teaching, learning, and examination concurrently ensure the accessibility of the study provisions for young persons living in Afghanistan.

Students will be prepared to be professionally active in tune with their competencies all over the world and contribute to a desirable future of Afghanistan. A mix of professors and junior academics both from various countries of the world and of Afghan origin – among them those having lost the opportunity to serve universities in Afghanistan – can contribute to academic quality in all disciplines represented and the enhancement of knowledge on Afghan culture and society. Cooperation in teaching and research will be encouraged between scholars employed at this online university, those at a partner institution to be found for each discipline, and persons from many countries and institutions to be involved on a part-time basis.

Study programs on bachelor and master level, similar in length to the dominant „Bologna“ practices, as well as doctoral training will be provided – as customary at most open universities in the world – in the humanities, social sciences, and economic sciences, actually in 10 fields: Language and literature, education, psychology, social work, sociology, political science, journalism/communication science, economics, business studies, and additionally in IT/computer science. Master programs might specialize in certain topics (e.g. natural resources management) or interdisciplinary (e.g., gender studies). These fields are likely to be enriched by a creative dialogue between the theories, methods, and findings and the specifics of culture and society of Afghan culture and society. No study programs are envisaged in fields requiring substantial laboratory work or internships, of a clear universalistic knowledge base, and a sole national or regional thrust. Further education and continuing professional education programs might be added in the future.

Altogether, 60 professors and the same number of junior academic staff (FTE), supported by a substantial number of administrative staff, have to be employed for the ten disciplines to cover half of the teaching assignments and to be the backbone of research. A quarter of teaching each will be taken care of by scholars of the partner institutions and scholars from all over the world being involved part-time. Altogether, about 5,000 students can be accommodated, and a further increase can be realized with limited additional resources.

The online university will strive for high academic quality, a convincing link between academic quality and professional relevance, a guarantee of academic freedom, as well as support of the academic areas and of those persons suffering most under current adverse political conditions in Afghanistan, i.e., ethnic and religious minorities as well as women.

 

Call for Papers to the International Information Visualisation Conference (iV 2022)

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We are again co-organizing the track International Symposium Visual Analytics and Data Science (VA) at the next International Information Visualisation Conference (iV 2022) in Vienna, Austria on 19-22 July 2022. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation, and development.

In the present information era, most aspects of our lives depend on and are driven by data, information, knowledge, user experience, and culture. Information Visualisation, Visual Analytics, Business Intelligence, Machine Learning, and Data Science are only a few research areas of the current state of art enabling to increase the comprehension of the information on which is based the infrastructure of our society. The International Conference on Information Visualisation is concentrated around these hot topics. As in the previous edition, also this year there will be the opportunity of starting international cooperations and European research projects, and of discussing with international relevance keynote speakers. The conference is articulated in symposia, with details and further information available on the Symposia webpage.

 

Your work may be submitted as

 

These submissions include, but are not limited to

  • Information Visualisation Theory & Practice
  • Narrative
  • Visualization and Storytelling
  • Glyphs: Shapes, Icons, Text and Imagery in Visualization
  • Information Visualization Evaluation
  • Visual Analytics
  • Social media analytics
  • GeoVisual Analytics and Spatial-Temporal Analytics
  • Knowledge Visualization and Visual Thinking
  • Advances in Interactive and Visual Data Clustering
  • Visualisation in Business Intelligence and Open Data
  • Knowledge Domain Visualisation
  • Open Source Intelligence and Web Mining & Web Visualization
  • Co-operative Design Visualisation
  • Human-Computer Interaction for Information Visualization
  • Graph and Network Visualisation
  • Digital Humanities Knowledge Visualization
  • BioMedical Visualization
  • Visualization, Art, & Design
  • Symposium of Digital Art and Gallery
  • Augmented Reality Visualization and Art
  • Computer Animation, Information Visualisation, and Digital Effects
  • Computer Games and their applications (CGa)
  • Multimedia and E-learning
  • Digital Entertainment

 

Interested parties in the area of Visual Computing are invited to submit paper their proposal until 15 March 2022 via the conference submission system.

Please note our summarization of the 26th International Conference Information Visualization (iV 2022) event.

Best Paper Award at the iV 2021

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We are proud to announce that our paper on “Visual Analytics and Similarity Search – Interest-based Similarity Search in Scientific Data” at the iV2021 conference was honored with “The Best Paper Award” for its innovative contribution in terms of originality of concepts and application in Visual Analytics and Data Science. The “Best Paper Awards” is given to contributions that will be selected by the committee among the papers presented in iV2021 and applied for the award. The study’s relevance to the symposium’s scope, its scientific contribution, writing/presentation style will be considered in the evaluation process as well.

The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation, and development. The conference was held virtually at the University of Technology, Sydney.

Call for Papers to the Collaborative European Research Conference 2021

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This year’s Collaborative European Research Conference (CERC) will take place with the support of scientists and members of our team. The 7th edition of the conference aims at young academics and is primarily organized and held by colleagues from Munster Technological University (Cork, Ireland). The conference will take place from 9-10 September 2021 as blended event in presence and online/virtual.

The CERC was held for the first time in 2010 by the Darmstadt University of Applied Sciences (h_da) and the Munster Technological University (Cork, Ireland) – previously named Cork Institute of Technology (CIT) – and was originally organized by lecturers from the IT department of these two institutions. The event, which takes place alternately every year at one of the partner universities, is deliberately interdisciplinary and the presented researches cover a wide range of topics – from bioinformatics to social history. This promotes the exchange of ideas between the specialist areas and thus the opportunity for new collaborations.

CERC 2021 has the goal of a broad research program. Relevant topics for the conference include, but are not limited to, the following areas:

  • eHealth
  • Natural Language Processing and its applications
  • Internet of Things, Networks and Robotics
  • Sensors and wireless temperature measurements
  • Data Computing and Artificial Intelligence
  • Business and Society
  • Visual Computing and Data Analytics
  • Cybersecurity and cybercrime
  • BioInformatics and BioMedicine

Accepted contributions will be published in digital proceedings with an ISSN number – it is intended that publications shall be submitted to CEUR-WS for online publication, indexed among other at DBLP, Scopus, Semantic Scholar and Google Scholar. Extended versions of the best papers may be published into an upcoming special issues of “Sensors” (ISSN 1424-8220, Impact Factor: 3.275) and “Methods and Protocols” (ISSN 2409-9279; CODEN: MPERC6) Journals.

If you have interesting research results, you are invited to submit your paper by June 3oth. Interested parties can also attend the conference without a submission. Please note the information on the website: http://www.cerc-conf.eu.

Accepted Paper at International Conference on Industry 4.0 and Smart Manufacturing

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Over the past few years, the growing and intensive development of information technology in the manufacturing industry has led to a significant change in the methods and tools supporting the factories of the future. The hot topics around Industry 4.0 and smart manufacturing aim at the digital and organizational transformation of traditional factories and industrial systems as well as several other sectors. The International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020) provides the perfect setting and a unique opportunity for knowledge exchange, the review and discussion of theoretical advances, research results, and industrial experiences, among scientists, researchers, decision makers, practitioners and students.

Paper: CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory

Abstract:
Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with the dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data.

Link to Paper: DOI: 10.1016/j.procs.2021.01.265

 

The whole proceedings of the ISM 2020 are available under: Elsevier.

Elected in the Board of Publication Chairs @ International Information Visualisation Conference (iV2020)

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Professor Dr. Kawa Nazemi was elected as member of the publication chair board of the International Information Visualisation Conference (iV 2020) in Vienna, Austria. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

The scope of the conference covers the following topics:

  • Combining visual and computational methods of Data Analysis, Machine Learning and Artificial Intelligence
  • Visual Analytics models and approaches
  • Novel Visual Analytics applications
  • Visual Trend Analytics
  • Visual Analytics of spatial, temporal, and spatio-temporal data
  • Knowledge construction and management in Visual Analytics
  • Guidance in Visual Analytics
  • Intelligent approaches of Visual Analytics and Data Science
  • Adaptive Visual Analytics
  • Cognitive approaches and explanations for Visual Analytics
  • Visual Analytics for explaining AI
  • Visualization of Data Mining algorithms
  • Empirical performance studies
  • Evaluation of Visual Data Mining methods
  • Collaborative Visual

Please note that the IV2020 will be held online and the submission deadline was extended. The processings will be published as usual in IEEE Xplore.

Our Group co-organizes the main symposium 12th International Symposium Visual Analytics and Data Science.

Call for Papers to the Collaborative European Research Conference 2020

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This year’s Collaborative European Research Conference (CERC) will take place with the support of scientists and members of our team. The 6th edition of the conference also aims at young academics and is primarily organized and held by the colleagues from Ulster University (Belfast, Northern Ireland). The conference will take place from 10-11 September 2020, but due to the Corona crisis, the conference will also take place for the first time, at least partially, in virtual form.

The CERC was held for the first time in 2010 by the Darmstadt University of Applied Sciences (h_da) and the Cork Institute of Technology (CIT) and was originally organized by lecturers from the IT department of these two institutions. The event, which takes place alternately every year at one of the partner universities, is deliberately interdisciplinary and the presented researches covers a wide range of topics – from bioinformatics to social history. This promotes the exchange of ideas between the specialist areas and thus the opportunity for new collaborations.

If you have interesting research results, you are invited to submit your paper by May 31st. Interested parties can also attend the conference without a submission. Please note the information on the website: http://www.cerc-conf.eu.

 

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