Applications of Artificial Intelligence in 5G and Internet of Things
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Erscheint vorauss. 30. November 2024
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This is the proceedings of the 1st International Conference (Hybrid) on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT).

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Produktbeschreibung
This is the proceedings of the 1st International Conference (Hybrid) on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT).
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Autorenporträt
Vinod M. Kapse working as a Director Noida Institute of Engineering & Technology Greater Noida. He has obtained his Bachelor Degree in Industrial Electronics from Amaravati University and M.Tech in Electronics Engineering from Nagpur University. He completed Ph.D in Engineering from RGPV University. He has total experience of 23 years in academics & industry. He has published more than 50 research papers in International / National journals. Under his guidance more than 30 PG students completed their research work. He has also received various grants from AICTE, DST & MPCOST. He has organized/ attended several National / International conferences / Seminars / Workshops. He is also a member of different scientific and professional society. Lalit Garg is an associate professor of computer information systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised 200+ Master's dissertations, 2 DBA and 5 PhD theses and published 150+ high-impact publications in refereed journals/conferences/books, 17 edited books and 22 patents. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare). Pavan Kumar Shukla is Professor and Head of the Department of Electronics & Communication Engineering at Noida Institute of Engineering and Technology, Greater Noida and having more than 22 years' rich academic experience. He completed his doctorate from the State University, Uttarakhand Technical University, Deharadun, in year 2017 in the field of Digital Communication, Optical Communication and Antenna. He is also working as the Technical Advisor of Telenoetica Ltd. Lagos, Nigeria, A telecommunication infrastructure provider in most African countries. He has published more than 20 research papers in reputed journals and guided many postgraduate projects. He is a nominated expert on the subject "Antenna & EMFT " by the AKTU and has delivered many e-shoots for university students. His expertise is in the field of communications, and he also has five patents in the field of antenna and IoT, which have been published in the intellectual property of India as the chief investigator. He is a Board of Studies member for many universities and a subject expert for many industries and organizations. He has chaired many sessions of the IEEE International conference and was a panel member for the Electronics and Communication Symposium. He has more than 20 years of academic and research experience. He has obtained multiple grants from AICTE, AKTU, DST, DRDO & from many other govt. organizations to conduct various companies, FDPs and many academic events. Varadraj Gurupur, Ph.D., is currently working as an associate professor in the School of Global Health Management and Informatics at the University of Central Florida. Dr. Gurupur is a recipient of two international awards, two national awards, and several regional and institutional awards. His core research is focused on software engineering decision support systems for healthcare and education. Dr. Gurupur is a recipient of research grants and has two patents in health information management. Dr. Gurupur has more than 100 publications which include: edited book, book chapters, journal articles, conference papers, abstracts, and published reviews. His articles have been published in high impact journals and his research work is widely used by researchers across the globe. From a teaching perspective, Dr. Gurupur has more than 11 years of teaching experience and has served as a teacher in two different countries. Dr. Gurupur is also someone who has worked in the healthcare industry for several years. Based on this work experience and academic training he is involved in discovering innovative solutions to difficult problems associated with Electronic Health Records. Amit Krishna Dwivedi is currently working as an Assistant Professor in Electrical and Electronic Engineering at the School of Engineering, University of Warwick, Coventry, UK. Before joining the University of Warwick, Dr. Dwivedi was with the Department of Engineering as a Lecturer/Assistant Professor in Electronic and Electrical Engineering at the Manchester Metropolitan University, Manchester, UK, and as a researcher with the Diagnostic Imaging Center, Kuopio University Hospital in Finland. From 2015 to 2016, he was a Research Scholar at the Department of Electrical Engineering, IIT Delhi, India. Dr. Dwivedi received both the B.Tech. and the M.E. degrees in Electronics Engineering from India, in 2012 and 2015, respectively, and the Ph.D. degree in Electrical and Electronic Engineering while working in the Circuits and Systems Group at Imperial College London, UK. He has contributed to 36 peer-reviewed research papers in journals and international conferences, and 4 book chapters. His research interests include biomedical signal processing, machine learning algorithms and ultra-low power wearable systems for long-term continuous monitoring of physiological signals for early-stage detection of various cardiovascular diseases. Dr. Dwivedi is a Fellow of the Higher Education Academy, UK; and a Member of IEEE and IET.