Proceedings of the First International Conference on Data Engineering and Machine Intelligence (eBook, PDF)

ICDEMI 2023
Redaktion: Kumar, S. Rakesh; Chelliah, Pethuru Raj; Gayathri, N.; Kadry, Seifedine

• Format: PDF

Produktbeschreibung

This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 443
• Erscheinungstermin: 20. Dezember 2024
• Englisch
• ISBN-13: 9789819776160
• Artikelnr.: 72642596

Autorenporträt

Dr. S. Rakesh Kumar obtained his Ph.D. in Information and Communication Engineering from Anna University Chennai. He also holds an M.E. degree in Computer Science and Engineering from Thiagarajar College of Engineering and a B.Tech. Degree in Computer Science and Engineering from Anna University Chennai. Dr. Kumar is currently working as an Assistant Professor in the Department of Computer Science and Engineering at GITAM (Deemed to be University). He has numerous publications in journals, conference proceedings, and edited volumes, and his research interests include artificial intelligence and machine learning.   Prof. Seifedine Kadry graduated with a Bachelor's degree from Lebanese University in 1999 and completed his MS Degree at Reims University (France) in 2002. He also holds a PhD from Blaise Pascal University (France) in 2007 and an HDR degree from Rouen University in 2017. His current research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. Prof. Kadry is an ABET program evaluator for computing and Engineering Tech and is a Fellow of IET, IETE, and IACSIT. He is also a distinguished speaker of the IEEE Computer Society.   Dr. N. Gayathri received her Ph.D. in Information and Communication Engineering from Anna University Chennai. She also holds an M.E. degree in Computer Science and Engineering and a B.Tech. Degree in Information Technology from Thiagarajar College of Engineering. Dr. Gayathri is currently working as an Assistant Professor in the Department of Computer Science and Engineering at GITAM (Deemed to be University). She has several publications in journals and has edited many books. Her research interests include Big Data Analytics, IoT, and networks, and she is active as an IEEE WIE faculty advisor.   Dr. Pethuru Raj is working as a chief architect at Reliance Jio Platforms Ltd. (JPL) in Bangalore. He has over 22 years of IT industry experience and 8 years of research experience. Dr. Raj earned his CSIR-sponsored PhD degree at Anna University, Chennai, and continued with UGC-sponsored postdoctoral research at the Indian Institute of Science, Bangalore. His work focuses on emerging technologies such as the Internet of Things (IoT), artificial intelligence, optimization techniques, big data analytics, blockchain, digital twins, cloud-native computing, edge and serverless computing, event-driven architecture, and 5G.