Dr. Smita Sharma is a Senior Member of IEEE and currently serves as the WIE Chair of the IEEE Uttar Pradesh Section. She holds a Ph.D. in Wireless Body Area Sensor Networks from Uttarakhand Technical University, a Central Government University, along with a B.Tech from Galgotias College of Engineering and an M.Tech from Madan Mohan Malviya Engineering College, Uttar Pradesh, specializing in Electronics and Communication Engineering. Dr. Sharma is associated with the National Institute of Electronics & Information Technology (NIELIT), New Delhi. Previously, she was an Associate Professor at Amity University, Uttar Pradesh, where she dedicated 14 years to teaching and research. With a remarkable academic and research portfolio, Dr. Sharma has authored over 50 peer-reviewed articles published in prestigious international journals and conferences. She has contributed to numerous book chapters, edited several books, and holds multiple Indian patents. She actively collaborates with distinguished professors from globally renowned QS-ranked universities and plays a key role in organizing IEEE conferences. Dr. Sharma’s research focuses on cutting-edge areas including the Internet of Things (IoT), wireless sensor networks (WSNs), network security, artificial intelligence, and machine learning. Within WSNs, her work emphasizes improving network efficiency and extending sensor lifespan. A dedicated contributor to the academic community, Dr. Sharma serves as a reviewer for leading journals and conferences, is a sought-after speaker at global events, and is an integral part of publication teams for internationally recognized journals. She is also an active member of IAENG and CSI societies, promoting diversity, inclusion, and technological advancement.
Télécharger le livre :  Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into various use cases where deep learning is applied in industrial,...
Editeur : Academic Press
Parution : 2025-05-02

Format(s) : epub sans DRM
182,50

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