ABOUT FAIEMA 2025
building... in progress
3nd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications; dd - dd MM 2025; Stavanger, Norway.
Join us for the 3rd International Conference on Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications (FAIEMA 2024) in Stavanger, Norway, scheduled for Xst - Xnd of Month 2025 as an in-person conference. FAIEMA 2025 will provide a platform for researchers, leaders, decision-makers, and policymakers to share their research and insights on the forefronts of AI. This conference is a response to the growing need among those working on artificial intelligence in academia, business and industry, and the public sector to explore opportunities in this constantly evolving field.
Venue: "Room 1" and "Room 2" University of Stavanger. The “Room 1” Amphitheatre, the old “Building”, is located in the Main Building of the University of Stavanger (Kjell Arholms gate 41, 4021 Stavanger).
Athens is the capital of Greece. It was also at the heart of Ancient Greece, a powerful civilization and empire. The city is still dominated by 5th-century BC landmarks, including the Acropolis, a hilltop citadel topped with ancient buildings like the colonnaded Parthenon temple. The Acropolis Museum, along with the National Archaeological Museum, preserves sculptures, vases, jewelry, and more from Ancient Greece.
CALL FOR PAPERS
Proceedings:
Accepted papers will be published as an edited book volume with the Springer book series: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications (Electronic ISSN 2731-8133, Print ISSN 2731-8125), subject to the peer-review process of conference organizers and Springer. Published volumes would be indexed with Springer and SpringerNature.
We invite submissions of full research papers, conceptual papers, and short papers for the conference proceedings. We welcome articles on the following topics, but not limited to:
-
Advances in AI – Generative AI, NLP, Vision, Voice, and Self-taught AI Systems
-
Soft Computing and Evolutionary Computing;
-
NeuroEvolutionary Techniques;
-
Innovations in AI methods, techniques, and algorithms;
-
Explainable AI;
-
AI and Robotics;
-
AI and Automatic Control;
-
AI and Cloud;
-
AI and IoT;
-
Intelligent Engineering Systems, Expert Systems;
-
Knowledge-Based Systems;
-
Ethical use of AI;
-
Guiding the Development of Human-Friendly AI;
-
Exploring human well-being through AI;
-
AI for competitive advantage;
-
AI applications – Health, Energy, Manufacturing, Education, Digital Humanities, and Others;
-
AI applications for business solutions, governance, education, economic planning, and legal solutions;
Tracks:
-
Research Track: The research track invites both full-length research papers and short conceptual papers.
-
Ph.D. Symposium Track: The Ph.D. symposium track invites Ph.D. students to submit their planned or ongoing research as short or full-length papers.
-
Industrial Track: Industrial sessions are planned as invited talks and tutorials from experts in the Industry. There is no paper submission under this track. If you have industrial work as a paper, kindly submit it under the "Research Track". If you are interested hold a Exhibit, Tutorial, or Talk under the Conference, kindly contact us via the "Contact Us" form.
Papers submitted to the conference will undergo a thorough peer review process. Accepted papers would be published in the conference proceedings. Authors would be invited to present their papers at the conference.
Guidelines for Submission:
Papers submitted to the conference proceedings must follow the Springer Lecture Notes on Computer Science template (LNCS format). You may read about the formatting guidelines here. A full paper is expected to be less than or equal to 13 pages. Pages beyond the specified limit will have additional charges. The maximum number of additional pages is limited to 2 pages. See the "Registration" section. A short paper can have a maximum of 6 pages. A short paper does not have the possibility for purchasing additional pages and any such paper going beyond 6 pages will be considered a regular full paper. The page limit for all papers includes references. A page is considered to have a maximum of 550 words.
Below, we have listed templates for a proceeding paper for Latex and MSWord word processors.
Camera Ready papers must follow the specified template as described above. A filled-in and signed "license to publish" document should also accompany the camera-ready paper submission. The camera-ready paper and "license to publish" should be in pdf format. The "license to publish" template (in word) can be downloaded HERE. Authors need to fill in the required information, sign it, convert it to pdf, and submit it along with the camera-ready paper. The link for submitting these forms will be updated soon.
The papers will undergo a single-blind peer review process to ensure that they do not contain any instances of plagiarism and have not been simultaneously submitted to any other conference (i.e., multiple submissions). At least three reviewers would be engaged per paper.
Authors should be transparent about the use of AI tools like ChatGPT in their works. We follow the COPE guidelines for the use of AI tools. Furthermore, authors are also expected to follow certain ethical principles when submitting their work. Read more about the prescribed ethical responsibilities of authors set forth by Springer.
Submission Link: https://easychair.org/conferences/?conf=faiema2024
REGISTRATION
Registration Open: 30st August
FAIEMA 2024 Registation | Early (in Euros)+ | Late (in Euros)++ |
|---|---|---|
Author Registration (with full-length paper)* | 300 | 400 |
Author Registration (with short paper)* | 200 | 300 |
Extra Page for each page beyond 13 pages | 50 | 50 |
Participation Registration (without paper)** | 250 | 250 |
+ The deadline for Early Registration is between 30.August-11.September.2024 [23:59 hours]
++ The deadline for Late Registration is between 12.September-19.September.2024 [23:59 hours]
* All accepted papers must have at least one author registered as "with paper". A paper with more than one author, the remaining authors attending the conference, can register as "without paper"
* Additional accepted papers from the same set of authors may request exemption from registration fees for the remaining papers.
* Accepted papers will be presented into the Research Track or Ph.D. Symposium Track. Full and Short can be submitted to both tracks.
** The deadline for Participation (without paper) Registration is before 19.September.2024 [23:59 hours]
NOTE 1: All registrations include access to planned coffee breaks, lunch, and the conference dinner
NOTE 2: All papers including full-length, short, and Ph.D. symposium papers would be included in the proceedings.
COMMITTEE
Steering Committee
Organization Committee
(Local Chair)
Professor Εmeritus, National Technical University of Athens, Chairman of GRNET – National Infrastructures
*Program Committee
(**RT Co-Chair)
Associate Professor
National and Kapodistrian University of Athens, Greece
(Publicity Chair)
Associate Professor
National and Kapodistrian University of Athens, Greece
.jpg)
**Research Track
Proceeding Editors
Technical Program Committee:
-
Luljeta Gusha, University of Vlora, Albania
-
Matthias Zeppelzauer, University of Applied Sciences St. Pölten, Austria
-
Dragi Kimovski, University of Klagenfurt, Austria
-
Hadi Amirpourazarian, University of Klagenfurt, Austria
-
Sahar Nasirihaghighi, University of Klagenfurt, Austria
-
Bernhard Rinner, University of Klagenfurt, Austria
-
Mario Doeller, FH Kufstein Tirol, Austria
-
Narges Mehran, University of Salzburg
-
Garegin Hambardzumyan, Armenian National Agrarian University, Armenia
-
Bistra Vassileva, University of Economics-Varna, Bulgaria
-
Styliani Kleanthous, CYENS Centre of Excellence, Cyprus
-
Christian Beecks, University of Hagen, Germany
-
Dimitrios Fragkoulis, National & Kapodistrian University of Athens, Greece
-
George Panagiotakis, National & Kapodistrian University of Athens, Greece
-
George Fragulis, University of Western Macedonia, Greece
-
Christos Papatheodorou, National & Kapodistrian University of Athens, Greece
-
George Chamilothoris, University of West Attica, Greece
-
Panagiotis Trakadas, National & Kapodistrian University of Athens, Greece,
-
Panagiotis Gkonis, National & Kapodistrian University of Athens, Greece
-
Stefanos Vrochidis, Information Technologies Institute, Greece
-
Ioannis Katsigiannis, Hellenic Mediterranean University, Greece
-
Ilianna Kollia, National Technical University of Athens, Greece
-
Stamatia Bibi, University of Western Macedonia, Greece
-
George Giannaris, National and Kapodistrian University of Athens, Greece
-
Kostas Tzierakis, National and Kapodistrian University of Athens, Greece
-
George Kaimakamis, Hellenic Army Academy, Greece
-
Dionysis E. Mouzakis, Hellenic Army Academy, Greece
-
Kostas Karpouzis, Panteion University of Social and Political Sciences, Greece
-
Anastasios Arsenos, National Technical University of Athens, Greece
-
Vassilis Alimisis, National Technical University of Athens, Greece
-
Georgios Alexandridis, National and Kapodistrian University of Athens, Greece
-
Thanasis Papaioannou, National and Kapodistrian University of Athens, Greece
-
Kristina Bazienė, Vilnius Gediminas Technical University, Lithuania
-
Bojana Malisic, University of Donja Gorica, Montenegro
-
Sandra Tinaj, University of Donja Gorica, Montenegro
-
Rashmi Dutta Baruah, Indian Institute of Technology Guwahati, India
-
Navjot Singh, Indian Institute of Technology Allahabad, India
-
Nikolay Nikolov, SINTEF, Norway
-
Ferhat Ozgur Catak, University of Stavanger, Norway
-
Hadi Zahmatkesh, Oslomet University, Norway
-
Petra Galuscakova, University of Stavanger, Norway
-
Nejm Saadallah, University of Stavanger; Norway
-
Dimitrios Pavlou, University of Stavanger, Norway
-
Muhammad Sulaiman, University of Stavanger, Norway
-
Martin Pavlovič, Slovenian Institute of Hop Research and Brewing (IHPS), Slovenia
-
Imren Yeşilyurt, Turkey
-
Erdem Aktosun, Izmir Katip Celebi University, Türkiye
Keynotes
University of Münster, Germany
Title: Data and Language Model Markets
Abstract: Due to world-wide digitalization, data has become a commodity similarly to electricity and water. Platforms like Grab or Airbnb exploit this by bringing (just the data of) providers and consumers together without having any physical inventory. The fact that data is an asset these days has given rise to data marketplaces, which has been an active field for many years. With the arrival of Generative AI, it makes sense to go beyond pure data markets and consider markets that offer data as well as language models and their components, e.g., for embedding, training, augmentation, or customization. The talk will discuss this new development, which offers both opportunities and challenges: While sharing, discovery, and integration are potential benefits, abuse and breaching may also occur. I will shed some light on this new type of market.
FH Kufstein Tirol – University of Applied Sciences, Austria
Title: Re-Identification in Multi-Object Multi Sensor Tracking Environments
Abstract: The advancement of sensor technologies has significantly enhanced the capability of multi-object tracking systems in various domains, such as surveillance, autonomous driving, and robotics. However, the challenge of re-identifying objects as they move across different sensors and viewpoints remains critical for maintaining accurate and continuous tracking. This talk will delve into the methodologies and algorithms developed for re-identification in multi-object, multi-sensor tracking environments. It will cover the integration of diverse sensor data, including visual, thermal, and radar inputs, to improve object recognition and tracking fidelity. Additionally, the discussion will highlight recent innovations in machine learning and data fusion techniques that address occlusions, appearance changes, and identity switching issues. Practical applications and case studies will be presented to illustrate the effectiveness and potential of these approaches in real-world scenarios. This talk aims to provide insights into the current state of research and development in this field, offering a comprehensive overview for researchers, engineers, and practitioners involved in multi-sensor tracking systems.
National and Kapodistrian University of Athens (NKUA), Greece
Title: An AI Assisted Model for Transforming Manuscripts into Linked Annotated Data
Abstract: This talk introduces an AI Assisted model for transforming manuscripts into Linked Annotated Data, developed over the past four years at the NKUA. The model treats manuscripts as 4D objects, connects manuscripts to an ontology-based system that supports transcription and annotation processes, and incorporates a robotic scanner, combined with image analysis and pattern recognition algorithms, to facilitate the entire workflow. The proposed model offers a scalable and flexible solution for transforming manuscripts into dynamic, interconnected data ecosystems.
Industrial Talks
Policy Analyst on Artificial Intelligence Ethics and Trustworthy Governance of AI, Research Ethics and Integrity Sector, DG Research & Innovation, European Commission
Title: Designing Ethical and Trustworthy AI Research Policies at EU level
Abstract: The talk will focus on the gradual development of an EU ethical governance framework in the field of AI and will discuss EU’s Trustworthy approach to AI. It will also shed light on the need for a possible revamping of the traditional ethical structures and practices in the domain of AI research given the novelty of this set of technologies from a research ethics governance perspective. Within this frame, the ongoing work in this field in Europe will be presented along with the ongoing international initiatives in the domain of AI ethics and their potential to offer human-centric and research-friendly guidance in this disruptive domain of research.
CTO, Simplifai AS, Norway
Title: Transforming Insurance with Generative AI: Practical Insights from InsuranceGPT
Abstract: In today's rapidly evolving insurance sector, managing complex data systems, ensuring regulatory compliances, and maintaining accurate client communication are more challenging than ever. Join us as we uncover the transformative power of Generative AI in the insurance sector, spotlighting Simplifai's InsuranceGPT. In this session, we will explore the practical applications of Generative AI, emphasizing its role in enhancing business process automation while maintaining compliance with legal and regulatory standards. Discover how InsuranceGPT is revolutionizing customer interactions, streamlining operations, and safeguarding data privacy and security within the industry's regulatory framework.
AI Engineer, IBM Technology - Greece & Cyprus
Title: Now is the moment for responsible AI
Abstract: In an era marked by the rapid advancement and integration of AI technologies, businesses are navigating a complex and evolving global regulatory landscape. IBM's approach to AI ethics aims to balance innovation with responsibility, enabling the adoption of trusted AI at scale. The rise of foundation models introduces new possibilities while raising ethical considerations regarding their design, development, and deployment. According to a recent IBM Institute for Business Value generative AI survey, trust-related concerns such as cybersecurity, privacy, and accuracy are significant barriers to investment. Organizations are recognizing these issues, with many planning to increase their AI ethics investment by 40% over the next three years. As a hybrid cloud and AI leader committed to AI ethics, IBM leverages its research and partnerships, like those with Hugging Face, to bring the power of foundation models to clients. Platforms like IBM Watsonx underscore our dedication to creating auditable and trustworthy AI systems. Now is the moment for responsible AI.
Solutions Architect, Public Cloud Group
Title: Implementing a Retrieval-Augmented Generation System for Enhanced Document Access: A Case Study of the Greek National Documentation Center using AWS Cloud Services
Abstract: This presentation introduces an innovative Retrieval-Augmented Generation (RAG) system developed for the Greek National Documentation Center (NDC) leveraging AWS cloud services. Our solution addresses the challenge of efficiently processing vast document repositories and making them readily accessible through advanced AI-driven querying. We demonstrate how the integration of serverless computing (AWS Lambda), secure object storage (Amazon S3), and sophisticated machine learning models (Amazon Bedrock) creates a robust RAG pipeline. This pipeline ingests diverse document sources, generates semantic embeddings, and constructs a knowledge vector database using Amazon OpenSearch Service
System Architect, Public Cloud Group
Title: Automated Pothole Detection Using AWS Rekognition for Road Monitoring
Abstract: This presentation showcases a solution for automated pothole detection and analysis using AWS cloud technologies. Our system addresses the critical challenge of efficiently identifying and cataloging road surface defects, enabling proactive infrastructure maintenance and improved planning. We demonstrate how the integration of AWS Rekognition, a powerful computer vision service, with serverless computing (AWS Lambda) and scalable storage solutions (Amazon S3 and DynamoDB) creates a robust, end-to-end pipeline for pothole detection and data management.
Sr. Solutions Architect, Public Sector Greece/Cyprus/Malta, Amazon Web Services
Title: Exploring (Gen)AI's Potential on AWS
PARTNERS
