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ABOUT FAIEMA 2024

2nd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications; 1st - 2nd October 2024; Athens, Greece.

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Join us for the 2nd International Conference on Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications (FAIEMA 2024) in Athens, Greece, scheduled for 1st - 2nd of October 2024 as an in-person conference. FAIEMA 2024 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.

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.
Venue: "Alkis Argyriadis" and "Ioannis Drakopoulos" Amphitheatres, National and Kapodistrian University of Athens. The “Ioannis Drakopoulos” Amphitheatre, the old “Medicine School Amphitheatre”, is located in the Main Building of the National and Kapodistrian University of Athens, Propylaea (Panepistimiou St. 30
).

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. Additionally, indexing through IEEE Xplore, DBLP, Google Scholar, EI-Compendex,  SCImago, and Scopus is explored.

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.

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 Linkhttps://easychair.org/conferences/?conf=faiema2024

REGISTRATION

Registration Open: 31st 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 14.August-28.August.2024 [23:59 hours]
++ The deadline for Late Registration is between 29.August-12.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 12.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

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Professor

University of Stavanger, Norway

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Chief Scientist

Simula Metropolitan Center for Digital Engineering, Norway

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Professor

National and Kapodistrian University of Athens, Greece

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Professor Εmeritus

National Technical University of Athens, Greece

Organization Committee

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Dr. Maria Tzamtzi

(General Chair)

Professor

National and Kapodistrian University of Athens, Greece

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Professor Εmeritus, National Technical University of Athens, Chairman of GRNET – National Infrastructures

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Associate Professor
Klagenfurt University, Austria

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Dr. Paul Sotiriadis

(*PC Co-Chair)

Professor

National Technical University of Athens, Greece

*Program Committee

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Dr. Nikolaos Kouvakas

(**RT Co-Chair)

Associate Professor

National and Kapodistrian University of Athens, Greece

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Dr. Michael Skarpetis

(Publicity Chair)

Associate Professor

National and Kapodistrian University of Athens, Greece

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Engineer

University of Stavanger, Norway

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Dr. George Chamilothoris

(Ph.D. Symposium Chair)

Professor

University of West Attica, Greece

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Dr. Bikash Agrawal

(Industry Track Chair)

Data Scientist
Simplifai AS, Norway

**Research Track

Proceeding Editors

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Associate Professor

University of Stavanger, Norway

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Professor

Western Norway University of Applied Sciences, Norway

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Professor

National and Kapodistrian University of Athens, Greece

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Associate Professor

Klagenfurt University, Austria

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Associate Professor

National and Kapodistrian University of Athens, Greece

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

  • 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

  • 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
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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.

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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.

Industrial Talks
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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.

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Amazon Web Services

Title: tba

Abstract: tba

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Public Cloud Group

Title: tba

Abstract: tba

PARTNERS
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CONTACT US

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