Call for Papers: Electronics - Special Issue - "Unlocking Data’s Potential: Artificial Intelligence and Visual Analytics in the Modern Age"
2024-08-30 - 2025-01-15 | Hesse
In the rapidly evolving fields of artificial intelligence (AI) and visual analytics, there is growing recognition of their combined potential to reshape diverse sectors, emerging as a crucial pathway for progressing research and practical applications. The synergy between AI-driven techniques—such as natural language processing, image and video processing, and data analytics—and visual analytics methodologies augments our ability to decipher complex data structures. Such interdisciplinary approaches reveal subtle data patterns, enhancing decision-making processes and establishing more effective predictive mechanisms essential for addressing societal and economic challenges and progress.
This Special Issue endeavors to delve deep into the interplay between AI and visual analytics, seeking contributions highlighting novel methodologies, computational strategies, systematic reviews, and system architectures of real-world applications. Our goal is to foster an interdisciplinary exchange of ideas, extending to areas including analytical decision-making, corporate strategy evolution, AI-driven collaborative frameworks, healthcare analytics, sustainability metrics, and innovative techniques for behavior and trend detection.
In the current era, where data stand as the backbone of contemporary challenges and opportunities, this Special Issue serves as a platform for researchers and professionals to showcase pioneering work, laying the foundation for breakthroughs that cater to the multifaceted challenges of our society. By combining AI and visual analytics, we are able to unlock unprecedented insights from data, driving our global community toward a more resilient and prosperous future.
Topics of interest include, but are not limited to, the following:

Integrative visual analytics and artificial intelligence systems and approaches;
AI and visual analytics to support decision-making;
Techniques and methods in explainable AI;
Visual analytic solutions for handling big data challenges;
AI and visual analytics in strategic corporate planning;
AI and visual analytics in healthcare;
AI and visual analytics for social well-being and mental health;
Facilitation of collaborative work through AI interventions;
Insights into collaborative intelligence mechanisms;
AI and visual analytics for sustainability and environmental analysis and management;
AI and visual analytics for policy modeling and political decision support.

Prof. Dr. Kawa Nazemi
Prof. Dr. Nuno Datia
Prof. Dr. Rita Francese
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

Keywords

artificial intelligence (AI)
visual analytics
natural language processing
explainable AI
big data analytics
data interpretation

IV2025 and AI&VIS25 Conferences
2025-08-05 - 2025-08-08 | Darmstadt University of Applied Sciences, Schöfferstraße, Darmstadt, Hesse, 64295, Germany
IV2025 – 29th International Conference Information Visualisation and AI&VIS25 – 6th International Conference on Artificial Intelligence and Visualization
The IV2025 and AI&VIS25 conferences provide a vibrant international forum for researchers, practitioners, and thought leaders to exchange the latest advances, innovations, and practical
challenges in the domains of information visualization, visual analytics, and AI-powered visual computing. For nearly three decades, the IV conference has been a cornerstone event in the visualization community, promoting interdisciplinary dialogue and showcasing cutting-edge research. In its 6th edition, AI&VIS25 focuses on the intersection of AI, visualization, and immersive analytics across a wide range of application domains. All accepted papers will be peer-reviewed and published by IEEE in the IEEE Xplore Digital Library and will be submitted for indexing to leading indexing services, including Scopus, Web of Science, and DBLP. Selected contributions will be invited for publication in special issues of the Information Visualisation Journal or an edited volume.
Conference Dates: 5th to 8th August 2025
Location: Darmstadt University of Applied Sciences, Germany
https://www.graphicslink.co.uk/IV2025/index.htm

Theme and scope are planned as a series of symposia with details, and further information is available at IV2025: https://iv.csites.fct.unl.pt/de/symposia/iv/va/
Submission Portal: https://www.conftool.org/IV-cgiv-2025/
Publication: https://iv.csites.fct.unl.pt/de/call-for-papers/publication/
Important Dates – https://iv.csites.fct.unl.pt/de/call-for-papers/important-dates/

Conference Themes
We invite high-quality contributions on (but not limited to) the following themes:

IV2025 – Information Visualisation Themes

Theories and Models in Information Visualization
Human-Centred Design and Interaction
Knowledge Visualization and Visual Thinking
Visual Storytelling and Design for Insight
Cognitive and Perceptual Aspects of Visualization
Sustainable and Environmental Visualization

AI&VIS25 – AI & Visualisation Themes

Explainable and Trustworthy AI in Visualization
Visual Analytics for Data Science
AI-Powered Knowledge Discovery and Pattern Recognition
Multimodal and Cross-Modal Visualisation
Immersive Visualisation: AR, VR, and MR
Human-AI Collaboration for Decision Support

Interdisciplinary and visionary submissions are strongly encouraged.

Special Tracks and Workshops

Researchers Link Forum
A dedicated forum to promote research aligned with the UN Sustainable Development Goals through AI and Visualization. Participants can present early-stage ideas, receive feedback from mentors, and identify future collaborators. This format is ideal for sparking new international research alliances.
PhD Workshop
Doctoral candidates are invited to present their dissertation research, challenges, and preliminary findings. The workshop offers mentoring, peer feedback, and visibility in the research community. Presentation slots are limited; early submission is recommended.
Tutorials and Panels
The conference will host expert-led tutorials and thematic panel discussions on emerging trends and grand challenges in AI and Visualisation.
Submission Guidelines
We welcome:

Full Papers (6 pages, IEEE format)
Short Papers (4 pages, IEEE format)
Posters (up to 4-page extended abstract + poster, IEEE format)

All submissions must follow the IEEE conference format and be uploaded via the submission portal.
Important Dates

15 May 2025 – Submission Deadline (Papers, Posters, Tutorials)
15 June 2025 – Notifications & Camera-Ready Submissions Due
30 June 2025 – Poster Display Version, Doctoral Abstract, Researchers Link Proposal Due
20 July 2025 – Final Registration Closes
5-8 August 2025 – Researcher Link
5 August 2025 – Tutorials & Doctoral Workshop Day
6–8 August 2025 – Main Conference Days

Preconference course: Doctoral Research Workshop
Researcher Link Forum: Research Project Collaboration
Focus Group Publication: Post-conference publication
Conference Format
IV2025 and AI&VIS25 will be held in a part-hybrid format, with a focus on in-person participation in Darmstadt. Virtual attendance will be supported to ensure global accessibility. The event features:

Keynote Lectures by Renowned Experts
Peer-Reviewed Paper Presentations
Thematic Panels & Tutorials
PhD Workshop and Researchers Link Forum
Social and Networking Events

Participation & Discounts

EUt+ Members can participate free of charge and receive a 30% discount on publication
fees.
IEEE Members receive a 15% discount on both registration and publication fees.
Further details will be available on the conference website.

Honorary Chair
Prof. Dr. Arnd Steinmetz (President, Darmstadt University of Applied Sciences – European
University of Technolgy EUt+)
General Co-Chairs:

Ebad Banissi (Em Prof. Dr.), London South Bank University (LSBU), UK
Kawa Nazemi (Prof. Dr.), Darmstadt University of Applied Sciences, DE – European University of Technolgy (EUt+) – hessian.AI

Call for Papers: Multimedia Tools and Applications
2025-10-20 - 2026-07-31 | Hesse
The empowerment of patients is emerging as a central focus in the digital transformation of healthcare. The integration of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Explainable AI (XAI) presents an unprecedented opportunity to develop transparent, intuitive, and patient-centered technologies. However, while AI advancements—such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)—offer transformative tools for diagnostics, treatment, and personalized care, their complexity often limits patients’ trust, understanding, and engagement.
Patient empowerment relies on solutions that demystify complex AI-driven insights, fostering trust and enabling individuals to actively participate in their healthcare journey. Explainable AI (XAI) addresses this need by making AI outputs interpretable and transparent, ensuring patients can comprehend and trust the information being presented. Combined with HCI principles, XAI-enabled multimedia tools—such as medical videos, images, interactive dashboards, wearable devices, and virtual health assistants—make health data more engaging, accessible, and actionable.
This Special Issue explores how the convergence of AI, HCI, and multimedia technologies can empower patients through tools that improve health literacy, facilitate informed decision-making, and foster collaboration with clinicians. By prioritizing patient trust, transparency, and accessibility, these innovations aim to transform healthcare into a truly inclusive and empowering experience.
Goals of the Special Issue

Highlight innovative multimedia tools that prioritize patient empowerment through AI, HCI, and XAI.
Explore how explainable systems improve patient understanding, trust, and engagement with healthcare AI solutions.
Address the design challenges of creating inclusive, ethical, and patient-centered multimedia applications.
Foster collaboration among researchers, multimedia experts, clinicians, patients, and caregivers to build empowering healthcare solutions.

Topics of Interest
We invite original research, reviews, and case studies that focus on patient empowerment through AI, multimedia, XAI, and HCI. Topics include, but are not limited to:
Explainable HCI for Multimedia-Enhanced Patient Tools
Patients are empowered when they can access and interpret their health data easily. HCI and XAI can enhance multimedia applications that present real-time, personalized, and actionable health information.

Transparent Wearable Interfaces: Devices that clearly explain health metrics through intuitive, XAI-driven feedback.
Interactive Health Apps: Multimedia platforms providing explainable and personalized recommendations for managing patient health.
AI-Powered Virtual Health Coaches: Conversational agents offering clear, actionable advice for disease prevention and management.

Explainable Diagnostics and Patient-Centered Interfaces
AI diagnostics must empower patients by making complex information digestible and actionable. Tools designed with XAI and HCI principles can help patients make sense of medical insights.

Patient-Facing Diagnostic Tools: Multimedia systems with explainable imaging/video insights that clarify diagnoses.
HCI-Driven Medical Visualizations: Interactive tools to simplify lab results, imaging reports, and AI predictions.
Multimodal Patient Interfaces: Combining visuals, text, and interactivity to explain complex medical concepts intuitively.

HCI and XAI in Mental Health Management
Mental health tools must empower patients to recognize and manage their well-being. Transparent and explainable AI systems can improve accessibility and trust.

Mental Health Apps: Multimodal platforms with explainable insights into emotional and behavioral data.
Transparent Behavior Analysis: XAI systems for early detection of mental health risks through video and audio analysis.
Accessible Neurofeedback Tools: Patient-friendly cognitive tools that explain therapeutic results in simple terms.

Trustworthy and Ethical XAI for Healthcare Multimedia
Empowerment requires trust. Human-centered design and ethical frameworks ensure multimedia AI tools are transparent, fair, and inclusive.

Trust-Building Design: Transparent AI systems that prioritize accountability, fairness, and clarity.
Bias Mitigation: Inclusive multimedia tools that avoid biases and serve diverse patient populations.
Explainability and Privacy: XAI frameworks that ensure patient data privacy while delivering meaningful insights.

Patient Education and Engagement Through XAI
Educational tools empower patients by improving health literacy and fostering engagement. XAI-driven multimedia platforms make complex health information clear, interactive, and engaging.

Explainable Health Literacy Tools: Multimedia platforms using intuitive explanations to educate patients.
Gamification for Health Behaviors: Interactive, multimedia games that guide patients in adhering to treatments and lifestyle changes.
Tracking Patient-Reported Outcomes: Visual tools that explain patient health metrics in clear and accessible formats.

Technical and Multimedia Innovations for Healthcare
Technical innovations in multimedia AI systems can empower patients by offering engaging, explainable, and actionable healthcare solutions.

Interactive Medical Tools: Systems for analyzing videos/images with intuitive XAI-driven insights.
Multimodal Data Fusion: Combining wearable, sensor, and imaging data to provide explainable and engaging outputs.
AR/VR for Patient Education: XAI-powered augmented reality tools for interactive health learning and surgical planning.

Ethical and Regulatory Considerations
Ensuring ethical transparency and regulatory compliance is critical for developing multimedia tools that empower patients without compromising privacy or fairness.

Ethical Frameworks: Guidelines for fairness, transparency, and accountability in XAI-driven multimedia tools.
Regulatory Compliance: Multimedia systems that meet global standards while empowering patients.
Privacy-Aware XAI: Balancing data privacy with clear, meaningful, and actionable patient insights.

Enhancing Physician Support Through Integrated AI and Multimedia Solutions

Empowering physicians is essential to improving patient care. By leveraging explainable AI (XAI), visualizations, or advanced human-computer interaction (HCI), healthcare providers can access intuitive and actionable insights that enhance their diagnostic and decision-making processes while fostering better patient collaboration.

Explainable Decision Support Systems leveraging AI and visual interfaces to aid physicians in making informed decisions for patients
Multimedia and Visual Analytics for Clinical Use: Interactive dashboards combining patient data, imaging, and wearable metrics to streamline and clarify complex medical information.
Collaborative Physician-Patient Interfaces: Tools designed to bridge communication gaps by integrating explainable patient insights with medical workflows, ensuring shared understanding and collaborative care.

Conclusion
This Special Issue aims to showcase how Explainable AI, Human-Computer Interaction, and multimedia innovations can converge to empower patients. By focusing on trust, accessibility, and clarity, these tools can transform patients from passive recipients into active participants in their healthcare journey.
We invite contributions that advance patient-centered solutions, ensuring that healthcare technologies are not only innovative but also empowering, inclusive, and impactful.
