
Brain Networks in Neuroscience: Personalization Unveiled Via Artificial Intelligence
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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.
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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.
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