Brain Networks in Neuroscience : Personalization Unveiled Via Artificial Intelligence. Este artículo no está disponible.Brain Networks in Neuroscience : Personalization Unveiled Via Artificial Intelligence

This book is an in-depth exploration of brain networks, providing a comprehensive understanding of their structures, functions, and implications for personalization through artificial intelligence. Readers will gain insights into the intricate workings of the brain, making this book an indispensable resource for those seeking a thorough grasp of neuroscience concepts. It offers the seamless integration of neuroscience principles with artificial intelligence applications. The book bridges these two domains, elucidating how advancements in AI draw inspiration from the complexities of the human brain. This interdisciplinary approach sets the book apart, offering readers a holistic view of cutting-edge technologies. Readers can expect practical applications and real-world case studies that illustrate the tangible benefits of the concepts discussed. From personalized healthcare solutions to adaptive learning systems, the book goes beyond theory, empowering readers to apply knowledge in diverse domains. This practical emphasis enhances the book’s relevance for professionals and researchers alike. The inclusion of online enhancements, such as interactive visualizations, downloadable supplementary materials, and engaging video content, transforms the reading experience into an interactive learning journey. This added value distinguishes the book by providing readers with hands-on tools to deepen their understanding and apply newfound knowledge.

This book doesn’t just dwell on current technologies; it takes readers into the future by exploring emerging trends at the intersection of neuroscience and artificial intelligence. By delving into potential breakthroughs and innovations, the book equips readers with insights that are forward-thinking and relevant in an ever-evolving technological landscape.

Md. Mehedi Hassan (Member, IEEE) is a dedicated and accomplished researcher and completed a Master of Science (M.Sc.) degree in computer science and engineering at Khulna University, Khulna, Bangladesh. He is a member of the prestigious Institute of Electrical and Electronics Engineers (IEEE). Mehedi completed his B.Sc. degree in computer science and engineering from North Western University, Khulna in 2022, where he excelled in his studies and demonstrated a strong aptitude for research. As the founder and CEO of The Virtual BD IT Firm and VRD Research Laboratory, Bangladesh, Mehedi has established himself as a highly respected leader in the fields of biomedical engineering, data science, and expert systems. Mehedi's research interests are broad and include important human diseases, such as oncology, cancer, and hepatitis, as well as human behavior analysis and mental health. He is highly skilled in association rule mining, predictive analysis, machine learning, and data analysis, with a particular focus on the biomedical sciences. As a young researcher, Mehedi has published 52 articles and 2 books in various international top journals and conferences, which is a remarkable achievement. His work has been well-received by the research community and has significantly contributed to the advancement of knowledge in his field. Overall, Mehedi is a highly motivated and skilled researcher with a strong commitment to improving human health and well-being through cutting-edge scientific research. His accomplishments to date are impressive, and his potential for future contributions to his field is very promising. Additionally, he serves as a reviewer for 49 prestigious journals. Md. Mehedi Hassan has filed more than 3 patents out of which 2 have been granted to his name.

Farhana Yasmin, currently pursuing her Ph.D. at the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China (210044), earned her B.Sc. degree from the Department of Computer Science and Engineering, Eastern University, Bangladesh. She furthered her academic journey by completing her M.Sc. degree in computer application and technology at Changzhou University, China. She has expertise spanning computer vision, biomedical engineering, and data science all under the expansive domain of artificial intelligence (AI). Farhana's research focuses primarily on predictive analysis and the advancement of expert systems. Her scholarly contributions include approximately 9 publications in esteemed international journals such as IEEE, Elsevier, and Springer. Collaborating with researchers globally, she actively seeks to broaden her knowledge and enhance her proficiency in her field.

Dr. Shariful Islam is a physician scientist at the Institute for Physical Activity and Nutrition, Deakin University. He is Honorary Senior Lecturer at Sydney Medical School, University of Sydney and Honorary Senior Fellow at the George Institute for Global Health, UNSW. Previously he led the diabetes research program at the Center for Control of Chronic Diseases, ICDDR,B and has experience working with United Nations Development Programme, World Health Organization, German Technical Cooperation and as a resident cardiologist in Bangladesh. He has more than 99,000 citations to his scholar profile.

Anupam Kumar Bairagi (Senior Member, IEEE) received B.Sc. and M.Sc. degrees in computer science and engineering from Khulna University (KU), Bangladesh, and a Ph.D. degree in computer engineering from Kyung Hee University, South Korea. He is a Professor of Computer Science and Engineering Discipline, KU. He has authored or coauthored around 60 publications, including refereed IEEE/ACM journals and conference papers. His research interests include wireless resource management in 5G and beyond, healthcare, the IIoT, cooperative communication, and game theory. He has served as a technical program committee member for different international conferences.

Dr. Si Thu Aung received a B.Eng. degree from Technological University, Myanmar in 2014, a Master of Engineering in Electronics from Mandalay Technological University, Myanmar in 2017, and a Ph.D. in Biomedical Engineering from Faculty of Engineering, Mahidol University, Thailand, in 2021. He is currently a post-doctoral researcher at Rail and Modern Transports Research Center under National Science and Technology Development Agency, Thailand Science Park, Pathum Thani, Thailand. His current research interests include biomedical signal processing, digital image processing, machine learning, and deep learning.