Call for Papers (CFP): Special Issue on Applications of Generative AI
Aim and Scope:
The rise of Generative Artificial Intelligence (AI) has opened up groundbreaking opportunities across a wide range of disciplines. By leveraging techniques such as deep learning, neural networks, and advanced natural language processing, Generative AI models—such as GPT, DALL·E, and GANs—are reshaping how we think about creativity, problem-solving, and data analysis. This special issue aims to bring together researchers, practitioners, and scholars from various fields to explore the transformative potential and applications of Generative AI in multidisciplinary contexts, from healthcare to art, from engineering to social sciences, and beyond. This special issue seeks to foster interdisciplinary collaboration and innovation, addressing both the opportunities and challenges posed by generative AI technologies.
We invite high-quality contributions that focus on the development, application, and implications of Generative AI. The goal is to showcase research that not only advances technical aspects but also investigates how these technologies can be applied in practical, interdisciplinary, and creative ways. Submissions should reflect innovative research, practical case studies, or critical perspectives on the use of Generative AI across different domains.
Topics of Interest
We invite submissions on, but not limited to, the following topics:
- Generative AI in Healthcare and Medicine: This includes AI-driven drug discovery and design, medical image generation and enhancement, mental health interventions, and diagnostics, in addition to Personalized treatment, medicine, and generative models in genomics.
- Generative AI in Natural Language Processing (NLP): This includes Language model applications in automatic Arabic text generation and summarization, Sentiment reasoning analysis, and Multilingual and cross-linguistic text generation.
- Generative AI in Engineering and Manufacturing: This includes AI for generative design in engineering and architecture, AI in robotics for autonomous creation and problem-solving, and Generative AI for product design and optimization.
- Generative AI in Business and Finance: This includes AI in financial forecasting and market simulations, Generative models for business decision-making, and AI-driven customer service and product recommendations.
- Generative AI in Education and Training: This includes AI-generated educational content and intelligent tutoring systems, Virtual and augmented reality for AI-enhanced learning environments, and Generative models for adaptive learning pathways
- Generative AI in Environmental Science: This includes AI for environmental data simulation and predictive modeling, Climate change predictions using AI-generated data, Applications of generative AI in sustainable practices.
- Generative AI in Gaming and Virtual Environments: AI for content generation in interactive gaming environments, Generative storytelling and character development, and Real-time AI in virtual reality (VR) and augmented reality (AR) settings.
- Security, Privacy, and Policy Implications: This includes Generative AI for cybersecurity and threat detection, AI’s role in generating deepfakes and combating misinformation, and Data privacy concerns in AI-generated outputs.
Guest Editors:
Mohammad Azzeh
Princess Sumaya university for Technology, Jordan
Ahmad T. Al-Taani
Department of Computer Sciences, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid, Jordan
Submission Guidelines
Submission Process
Please prepare the manuscript according to JJCIT guidelines (https://www.jjcit.org/page/submission ) and submit to the journal’s Manuscript Central site (https://www.ejmanager.com/my/jjcit/ ). Please upload the paper on the ejmanager Editorial Manager clearly indicating it is submission for the Special Issue on Applications of Generative AI.
Important Dates:
- Submission Open: 1/10/2024
- Submission Deadline: 28/2/2025
- Notification of Acceptance: 30/5/2025
- Publication Date: 30/6/2025
Submission Portal: https://www.ejmanager.com/my/jjcit/
Guest Editor Bios
Mohammad Azzeh
Mohammad Azzeh is a professor of Data Science at Princess Sumaya University for Technology. Dr. Azzeh holds PhD in computing from University of Bradford, UK and MSc in Software Engineering from University of the West of England, UK. He is currently working as a faculty staff member in Data Science department. His research interests focus on Data Science, Machine Learning, Data mining, Empirical Software Engineering, Mining Software Repositories. Dr. Azzeh is an invited referee for high quality journals and PC member of international conferences. He was a guest editor in Journal of Neural Computing and Applications (Springer). Dr. Azzeh was conference chair of the 7th and 8th international conference of Computer Science and Information Technology (2016 and 2018). Dr. Azzeh co-organized and co-chaired several special sessions/workshops: Computational Intelligence Applications in Software Engineering (CIASE 2013) at the 3rd IEEE International Conference on Communications and Information Technology (ICCIT 2013), Machine Learning for Predictive Models (MLPM 2013, 2014) at the IEEE International Conference on Machine Learning and Applications (ICMLA 2013 to 2021). He was also publicity chair of CSIT 2014 conference. Dr. Azzeh published over 40 research articles in reputable journals and conferences such as IET Software, Software: Evolution & Process, Empirical Software Engineering Applied Soft Computing and Systems & Software, Science of Computer Programming, Journal of Software Quality.
Ahmad T. Al-Taani
Ahmad T. Al-Taani is a full professor of Artificial Intelligence and a researcher at the Faculty of Information Technology and Computer Sciences, Department of Computer Science, Yarmouk University, Jordan. He obtained his PhD in Computer Vision and Image Processing from the University of Dundee, UK in 1994, MSc in Software Engineering from National University, USA in 1988, and BSc in Computer Science from Yarmouk University, Jordan in 1985. Dr. Al-Taani have more than 10 years of superior skills and broad experience at the level of university provost; vice president, dean, vice-dean, and department chair. He spent his last sabbatical leave in 2020 as a full professor of AI at the department of Data Science and AI, Princess Sumaya University for Technology (PSUT), Jordan. He spent his first sabbatical leave in 2008 at Jadara University, Jordan, as the dean of the faculty of Science and Information Technology, also he spent his second sabbatical leave in 2012 at Jadara University as a vice president for academic affairs and the dean of the Faculty of Science and Information Technology. Dr. Al-Taani has appointed as the dean of the faculty of Information Technology and Computer Sciences at Yarmouk university from 2010 to 2012. Dr. Al-Taani has served as a member of editorial boards and associate editor for many journals including the Journal of Pattern Recognition Research. He also served as a reviewer for several reputed journals including Natural Language Engineering, Soft Computing, Applied Soft Computing, Cognitive Computation, Cluster Computing, and others. His expertise areas include Arabic Natural Language Processing, Machine Learning, Knowledge-based Systems, Medical applications of Computer Vision and Image Processing, and Pattern Recognition. Dr. Al-Taani has published over 80 research articles related to his teaching and research areas in reputable journals and conferences proceedings.
