1st Edition

Next Generation AI Language Models in Research Promising Perspectives and Valid Concerns

Edited By Kashif Naseer Qureshi, Gwanggil Jeon Copyright 2025
    368 Pages 34 B/W Illustrations
    by CRC Press

    In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.


    The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionise their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem solving abilities, and evidence-based decision making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation.


    This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

    1. Introduction and History of Language Models in Research Kashif Naseer Qureshi and Gwanggil Jeon  2. The Advantages of Artificial Intelligence in Research Usman Ahmad and Kashif Naseer Qureshi  3. AI Models and Data Analytics: Transforming Research Methods Amna Khatoon, Asad Ullah and Kashif Naseer Qureshi  4. Advanced AI-based Healthcare Systems Applications and Services Ayesha Aslam, Kashif Naseer Qureshi and Adil Hussain  5. AI Models in Environmental Social Science Research: Leveraging Technology for Sustainable Solutions Cuong Pham-Quoc, Tran Vu Pham, Nguyen Cao Tri, Vu Hien Phan and Kashif Naseer Qureshi  6. Artificial Intelligence in Natural Science Research: Innovations and Limitations Adil Hussain, Peng-Cheng Xu, Wang Shixin and Kashif Naseer Qureshi  7. AI Models and Ethical Considerations in Research Amreen Shafique, Muhammad Shahid Saeed, Danish Javeed and Kashif Naseer Qureshi  8. AI Models and Applications of AI Models Seemab Kareem, Sidra Zubair and Kashif Naseer Qureshi  9. The Role of Human Expertise in AI-aided Research Mamoona Amin, Muhammad Mueed Hussain and Kashif Naseer Qureshi  10. Limitations and Challenges of Language Models in Research Amna Iqbal, Majid Hussain, Hina Zafar and Muhammad Anwar  11. Ethical Implications of Language Models Hanaa Omar Nafea and Kashif Naseer Qureshi  12. Security and Privacy Concerns in AI Models Muhammad Muneer, Faisal Rehman, Muhammad Hamza Sajjad, Muhammad Anwar and Kashif Naseer Qureshi


    Kashif Naseer Qureshi is an Associate Professor of Cyber Security in the Department of Electronic and Computer Engineering at the University of Limerick. He received his Ph.D. degree from the University of Technology Malaysia and holds two master's degrees in Computer Science and Information Technology. He is the Co-Principal Investigator of the Cyber Reconnaissance and Combat project funded by the Higher Education Commission of Pakistan. In Ireland he is also an active member of the Higher Education Authority – Human Capital Initiative’s Cyber Skills Project and of Lero, the Science Foundation Ireland Research Centre for Software. He has been named for 32 consecutive years in Stanford University’s lists of the Top 2% Scientist globally for AQ7.


    Gwanggil Jeon a Full Professor in the Department of Embedded Systems Engineering at Incheon National University. He obtained his B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, in 2003, 2005, and 2008, respectively.  Dr. Jeon is an IEEE Senior Member and Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing.