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Prediction of the Future Pandemic: Artificial Intelligence and Nanotechnology Approaches provides a comprehensive account of the applications, challenges, and breakthroughs in usi… Read more
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Dr. Ferial Ghaemi is a postdoctoral research fellow at RMIT University's Melbourne campus. As an experienced researcher and lecturer with a demonstrated history in higher education and industry, she is dedicated to advancing research in nanotechnology. She holds a Ph.D. in nanotechnology, with a specialized focus on the fabrication of nanomaterials and analytical chemistry.
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Dr. Ashok Kumar Yadav holds a B.Tech. from AKTU Lucknow and an M.Tech. and Ph.D. from JNU New Delhi, India. With over eight years of combined teaching and research experience, he is currently an Assistant Professor in the Department of Information Technology at Rajkiya Engineering College, Azamgarh, India. Before this, he served as an Assistant Professor (On ad-hoc) at the University of Delhi. Dr. Yadav's research expertise spans across multi-attribute decision-making (MADM), blockchain technology, machine learning, and mobility management in mobile communication. His significant contributions include publications in renowned journals such as Elsevier, Springer, World Scientific, and Taylor & Francis, as well as presentations at prominent international conferences. Among his notable works, Dr. Yadav is the author of "Blockchain Technology and Its Applications" and co-author of "Mastering Disruptive Technologies: Applications of Cloud Computing, IoT, Blockchain, Artificial Intelligence & Machine Learning Techniques." Additionally, he has edited two books for IGI Global. Dr. Yadav's academic achievements include six SCI-indexed publications, two Scopus-indexed papers, and six patents. He is actively involved in academia as a reviewer for international journals and a contributor to program committees at various conferences. His excellence has been recognized with the Best Paper Award at the IEEE World Conference on Applied Intelligence and Computing in 2022, and at the International Conference on Artificial Intelligence and Smart Communication (AISC) in 2023.
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Dr M. J. Ebadi obtained a Ph.D. degree in applied mathematics in 2018. Dr Ebadi’s research interests span a wide range of topics, including artificial intelligence, neural networks, deep learning, numerical optimization, optimal control, numerical analysis, fractional calculus, and fuzzy mathematics.
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