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Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Mina Farmanbar

    1. Department of Computer and Electrical Technology, University of Stavanger, Stavanger, Norway

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  2. Maria Tzamtzi

    1. Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Euboea, Greece

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  3. Ajit Kumar Verma

    1. Faculty of Engineering and Natural Sciences, Western Norway University of Applied Sciences, Haugesund, Norway

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  4. Antorweep Chakravorty

    1. Department of Computer and Electrical Technology, University of Stavanger, Stavanger, Norway

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  • Explores state-of-the-art, latest R&D in the field of AI including its ethical, explainable and sustainable use
  • Demonstrates multidisciplinary application of AI in solving practical problems
  • Presents practical applications by combining theoretical foundations with real-world case studies

Included in the following conference series:

Conference proceedings info: FAIEMA 2023.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xxi
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  2. Artificial Intelligence (AI)

    1. Front Matter

      Pages 1-1
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    2. Evolving Deep Neural Networks for Continuous Learning

      • Bruna Atamanczuk, Kurt Arve Skipenes Karadas, Bikash Agrawal, Antorweep Chakravorty
      Pages 3-16

    3. LLM Cognitive Judgements Differ from Human

      • Sotiris Lamprinidis
      Pages 17-23

    4. Exploring Affinity-Based Reinforcement Learning for Designing Artificial Virtuous Agents in Stochastic Environments

      • Ajay Vishwanath, Christian Omlin
      Pages 25-38

    5. A Novel Hybrid Model of Word Embedding and Deep Learning to Identify Hate and Abusive Content on Social Media Platform

      • Sachin Kumar, Ankit Kumar Bhagat, Akash Erugurala, Amna Mirza, Alok Nikhil Jha, Ajit Kumar Verma
      Pages 39-50

    6. The Machine Learning Pod (MLPod™) Canvas: An End-To-End Methodology to Design, Build, and Deploy ML Applications

      • Demetrios P. Gerogiannis, Paul P. Sotiriadis, Christophoros Nikou
      Pages 51-58

    7. Explainable AI for Intelligent Tutoring Systems

      • Kostas Karpouzis
      Pages 59-70

    8. Multi-objective Reward-Based Algorithms for the Complete Coverage Path Planning Problem on Arbitrary Grids

      • Georgios Tsamis, Georgios E. Chamilothoris
      Pages 71-81

    9. Patching Security Vulnerabilities Using Stackelberg Security Games on Attack Graphs

      • Jasmin Wachter
      Pages 83-98

    10. An Interpretability Evaluation Framework for Decision Tree Surrogate Model-Based XAIs

      • Xinyue Yang, Hai Huang, Xingquan Zuo
      Pages 99-112

    11. Optimizing Offshore Wind Turbine Reliability and Costs Through Predictive Maintenance and SCADA Data Analysis

      • Manisha Sakarvadia, Amund Haugeseth, Antorweep Chakravorty
      Pages 113-126

    12. Faster Complex Lyapunov Equation Solution Selection

      • Athanasios Polyzos, Christos Tsinos, Maria Adam, Nicholas Assimakis
      Pages 127-139

    13. Multi-objective Optimization of Federated Learning Systems in the Computing Continuum

      • Bogdan Mihai, Nishant Saurabh, Dragi Kimovski
      Pages 141-154

    14. One-Day-Ahead Wind Speed Forecasting Based on Advanced Deep and Hybrid Quantum Machine Learning

      • Konstantinos Blazakis, Yiannis Katsigiannis, Nikolaos Schetakis, Georgios Stavrakakis
      Pages 155-168

  3. Robotics and Control Systems

    1. Front Matter

      Pages 169-169
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    2. An Advanced Robotic System Utilizing Convolutional Neural Networks for Recycling

      • Dimitris Ziouzios, Antonios Chatzisavvas, George Fragulis, Minas Dasygenis
      Pages 171-179

    3. Anomaly Detection in Multi-robot Systems Exploiting Self-Awareness

      • Mohammad Rahmani, Bernhard Rinner
      Pages 181-195

    4. A Mixed Analytic/Metaheuristic Dual Stage Control Scheme Toward I/O Decoupling for a Differential Drive Mobile Robot

      • Tatiana Chrysoula Drosou, Nikolaos D. Kouvakas, Fotis N. Koumboulis, Maria P. Tzamtzi
      Pages 197-214

    5. A Reconfigurable Supervisory Control Algorithm for the Parametric Model of Multi-elevator Systems in Mines

      • Nikolaos D. Kouvakas, Fotis N. Koumboulis, Dimitrios G. Fragkoulis, Maria P. Tzamtzi, George E. Panagiotakis, Athanasios Tsatsanias
      Pages 215-227
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  1. Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

Keywords

About this book

This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice.  

Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements.  

Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements.  

Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation.  

Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society.  

Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements.  

Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments.  

Editors and Affiliations

  • Department of Computer and Electrical Technology, University of Stavanger, Stavanger, Norway

    Mina Farmanbar, Antorweep Chakravorty

  • Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Euboea, Greece

    Maria Tzamtzi

  • Faculty of Engineering and Natural Sciences, Western Norway University of Applied Sciences, Haugesund, Norway

    Ajit Kumar Verma

About the editors

Mina Farmanbar holds the position of Associate Professor in Computer Science at the University of Stavanger (UiS), Norway. She has been an active researcher at UiS and Akershus University Hospital since 2017. Notably, she is recognized among Norway's top 100 women in the AI field, a testament to her impactful contributions and is currently a deputy leader of the Applied Intelligence and Emerging Technologies (AIxTech) research group, at the University of Stavanger. She has been a program committee member of NORA – Norwegian Artificial Intelligence Research Consortium since 2021. Her research interests span a wide range of topics within the field, including but not limited to data science, natural language processing, and machine learning applications.

Maria P. Tzamtzi is Professor of Automatic Control Systems, at the Department of Digital Industry Technologies of the National and Kapodistrian University of Athens (NKUA), in Greece. She is currently the vice-head of the Department and a member of the Robotics, Automatic Control and Cyber-Physical Systems Laboratory of NKUA. Dr. Tzamtzi has more than twenty years of teaching, at undergraduate and graduate level, as well as research experience in the areas of automatic control and robotics. She has authored several scientific publications in nonlinear control, industrial control, robot control and supervisory control.

Ajit Kumar Verma is a Professor at the Western Norway University of Applied Sciences, Haugesund, Norway, since March 2012  and he was a Professor/Senior (HAG) scale Professor with the Reliability Engineering/ Department of Electrical Engineering at IIT Bombay for around 15 years with a research focus in reliability, risk & safety engineering and computational intelligence applications He has been associated with various Springer projects as an author/editor of books, series editor of many book series, patron/editor-in-chief of journals, guest edited over 12 special issues of various journals and has been on the editorial board of several journals.

Antorweep Chakravorty is a Professor in Computer Science at the University of Stavanger, Norway, presents a comprehensive research portfolio spanning diverse domains, including computer science, data science, artificial intelligence, data privacy, and blockchain. His impactful contributions extend across crucial sectors such as society, energy, healthcare, and oil & gas. With a rich history of over 60 high-impact publications and a track record of successfully securing external funding for research projects, Dr. Chakravorty's work is characterized by its originality, significance, and progressive influence in the field. Beyond his scholarly achievements, he places a strong emphasis on fostering networking and collaboration, both nationally and internationally.

 


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