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Special Session
Special Session on
Generative Artificial Intelligence (GenAI)
 - GenAI 2023

13 - 15 November, 2023 - Rome, Italy

Within the 15th International Joint Conference on Computational Intelligence - IJCCI 2023


Oussama H. Hamid
University of Nottingham
United Kingdom

Brief Bio
Ousssama Hamid is a Research Fellow in Machine Learning for Data Analysis at the University of Nottingham (School of Computer Science) in the United Kingdom (UK). He is also an Accredited Researcher at the Office for National Statistics (ONS) in London, UK, a member of the IEEE Systems, Man, and Cybernetics (SMC) Technical Committee on Soft Computing and a member of the European Institute for Systems and Technologies, Control and Communications (INSTICC). In 2011, Oussama received a doctoral degree in Natural Sciences (Dr. rer. nat.) from the University of Magdeburg (Germany) for his research on the Role of Temporal Context in Human Reinforcement Learning. Since 2003, Dr. Hamid has been investigating both theoretical and methodological aspects of Human-Machine Interaction, Neural Network Functions, Cognitive Systems and Data Analytics. Dr. Hamid has published his research findings in several European and international refereed journals and conferences.


Ever since OpenAI introduced ChatGPT, a large language model that utilizes a deep neural network architecture known as ‘transformer,’ debates on the power and peril of generative artificial intelligence (GenAI) among researchers, industrialists and policy makers have been fervent and multifaceted. Unlike traditional AI systems that are primarily designed for recognition and classification tasks, GenAI models mimic human creativity by utilizing complex mathematical frameworks and neural networks that learn from existing data to synthesize novel content that bears resemblance to the original data.

This Special Session discusses the most recent advances in GenAI from a cross-disciplinary perspective, encompassing theory, analysis, methods and applications. Contributions are solicited in all aspects of evolutionary, fuzzy, neural, and cognitive computations relevant to GenAI.


Topics of interest include, but are not limited to:
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer-based Generative Models
  • Conditional and Unconditional Generative Models
  • Applications of Generative Models in Image Synthesis
  • Natural Language Generation using AI
  • Music and Audio Generation with Generative Techniques
  • Video Generation and Synthesis
  • Advancements in Training Generative Models
  • Evaluation and Metrics for Generative AI
  • Ethical and Social Implications of Generative AI
  • Generative AI for Business Models
  • Generative AI in Art and Creativity
  • Generative AI in Content Generation
  • Generative Generative AI in Video Game Development
  • Generative AI for Data Augmentation
  • Generative AI in Healthcare
  • Generative AI in Natural Language Processing
  • Generative AI in Design and Architecture
  • Generative AI in Fashion and Retail
  • Generative AI for Music Composition
  • Generative AI in Photography
  • Fuzzy Systems Design
  • Neuro-Fuzzy Systems
  • Natural and Artificial Intelligence
  • Artificial Neural Networks
  • Swarm Intelligence
  • Deep Learning
  • Reinforcement Learning
  • Statistical Learning
  • Nature-Inspired Systems
  • Human-Machine Interaction
  • Brain-Computer Interface
  • Cognitive Computing


Paper Submission: September 15, 2023 (expired)
Authors Notification: September 29, 2023
Camera Ready and Registration: October 9, 2023


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


IJCCI Special Sessions - GenAI 2023