In this comprehensive and cutting-edge volume, Qureshi and Jeon 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 revolutionize 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.
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.
1. Introduction and History of Language Models in Research
2. The
Advantages of Artificial Intelligence in Research
3. AI Models and Data
Analytics: Transforming Research Methods
4. Advanced AI-Based Healthcare
Systems Applications and Services
5. AI Models in Environmental Social
Science Research: Leveraging Technology for Sustainable Solutions
6.
Artificial Intelligence in Natural Science Research: Innovations and
Limitations
7. AI Models and Ethical Considerations in Research
8. AI Models
and Applications of AI Models
9. The Role of Human Expertise in AI-Aided
Research
10. Limitations and Challenges of Language Models in Research
11.
Ethical Implications of Language Models
12. Security and Privacy Concerns in
AI Models
Prof. Kashif Naseer Qureshi is an associate professor in Cybersecurity in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. He received a PhD. degree from the University of Technology Malaysia (UTM) in 2016. He is the co-principal investigator in Cyber Reconnaissance and Combat project in the higher education commission. His research interest focuses on the Internet of Everything (IoE), Internet of connected Vehicles (IoV), Electronic Vehicles charging management planning and recommendation (EV), and Internet of Things (IoT) use cases implementation in wireless and wired networks and cybersecurity. His research interest includes many topics under the general areas of cyber security, wireless networks, security perspectives for IoE and IoT networks, privacy-preserving data aggregation, computer forensics, and cloud security. His name listed in the top 2% of scientists for three consecutive years from Stanford University, USA. He has published various high-impact factor papers in international journals and conference proceedings and served on several conferences IPCs and journal editorial boards. He has five books related to cybersecurity and AI fields. He has completed various projects related to routing and cyber-security domains in the UK, China, Ireland, Malaysia, and Pakistan.
Prof. Gwanggil Jeon received BS, MS, and PhD (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively.From September 2009 to August 2011, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa,ON, Canada, as a post-doctoral fellow. From September 2011 to February 2012, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an assistant professor. From December 2014 to February 2015 and June 2015 to July 2015, he was a visiting scholar at Centre de Mathematiques et Leurs Applications (CMLA), Ecole Normale Superieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a prestigious visiting professor at Dipartimento di Informatica, Universita degli Studi di Milano Statale, Italy. He is currently a full professor at Incheon National University, Incheon, Korea. He was a visiting professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkuts Institute of Technology Ladkrabang, Bangkok, Thailand, and the University of Burgundy, Dijon, France. 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. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and the industry-Academic Merit Award by the Ministry of SMEs and Startups of Korea Minister in 2020.
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