Distributed Machine Learning and Computing (eBook)
X, 158 Seiten
Springer International Publishing (Verlag)
978-3-031-57567-9 (ISBN)
This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.
M. Hadi Amini is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing, Florida International University. He is the Director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network), the Director of the ADvanced education and research for Machine learning-driven critical Infrastructure REsilience (ADMIRE) Center (funded by the U.S. DHS), and the Associate Director of the USDOT Transportation Center for Cybersecurity and Resiliency (TraCR). He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2019, where he received his M.Sc. degree in 2015. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. degree from Tarbiat Modares University in 2013, and the B.Sc. degree from Sharif University of Technology in 2011. His research interests include distributed learning and optimization algorithms, distributed computing and intelligence, interdependent networks, and cyber-physical-social security and resilience. Application domains include smart cities, energy systems, transportation networks, and healthcare.
Dr. Amini is a Senior Member of IEEE, and a life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He also serves/has served as Associate Editor of IEEE Transactions on Information Forensics and Security, Associate Editor of SN Operations Research Forum, Associate Editor of Data Science for Communications (Frontiers in Communications and Networks), and International Transactions on Electrical Energy Systems. He edited/authored eight books, and is the recipient of the best paper award from '2019 IEEE Conference on Computational Science & Computational Intelligence'', '2024 Florida International University Top Scholar Award, Research and Creative Activities, Junior Faculty with Significant Grants (Sciences)', '2023Florida International University Faculty Excellence in Teaching Award', 2021 best journal paper award from 'Springer Nature Operations Research Forum Journal', FIU's Knight Foundation School of Computing and Information Sciences' ``Excellence in Teaching Award'', best reviewer award from four IEEE Transactions, the best journal paper award in 'Journal of Modern Power Systems and Clean Energy', and the dean's honorary award from the President of Sharif University of Technology.
Erscheint lt. Verlag | 28.5.2024 |
---|---|
Reihe/Serie | Big and Integrated Artificial Intelligence |
Zusatzinfo | X, 158 p. 29 illus., 28 illus. in color. |
Sprache | englisch |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Statistik | |
Technik ► Bauwesen | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Artificial Intelligence • Deep learning • Distributed Computing • distributed learning • large-scale complex networks • machine learning • optimization theory |
ISBN-10 | 3-031-57567-9 / 3031575679 |
ISBN-13 | 978-3-031-57567-9 / 9783031575679 |
Haben Sie eine Frage zum Produkt? |
Größe: 4,7 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich