Deep Learning Technologies for Social Impact - Benedict, Shajulin
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This book highlights the importance of specific frameworks such as IoT-enabled frameworks or serverless cloud frameworks that are applying DL techniques for solving persistent, complex and pressing societal problems. Enhanced through case studies, including those implemented using tensorflow2 and relevant IoT-specific sensor/actuator frameworks.

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Produktbeschreibung
This book highlights the importance of specific frameworks such as IoT-enabled frameworks or serverless cloud frameworks that are applying DL techniques for solving persistent, complex and pressing societal problems. Enhanced through case studies, including those implemented using tensorflow2 and relevant IoT-specific sensor/actuator frameworks.
Autorenporträt
Shajulin Benedict graduated in 2001 from Manonmaniam Sunderanar University, India, with Distinction. In 2004, he received ME degree in Digital Communication and Computer Networking from A.K.C.E, Anna University, Chennai. He did his PhD degree in the area of Grid scheduling at Anna University, Chennai. After his PhD, he joined a research team in Germany to pursue post-doctorate research under the guidance of Prof. Gerndt. He served as a professor at SXCCE Research Centre of Anna University-Chennai. Later, he visited TUM Germany to teach Cloud Computing as a Guest Professor of TUM-Germany. Currently, he works at the Indian Institute of Information Technology Kottayam, Kerala, India, an institute of national importance in India, and as a Guest Professor of TUM-Germany. Additionally, he serves as Director/PI/Representative Officer of AIC-IIITKottayam for nourishing young entrepreneurs in India. His research interests include deep learning, HPC/cloud/grid scheduling, performance analysis of parallel applications (including exascale), IoT cloud, and so forth.