M. Hadi (Hrsg.) Amini

Optimization, Learning, and Control for Interdependent Complex Networks

Buch

This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the ¿elds of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques t… Mehr

CHF 93.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen

V105: Folgt in ca. 15 Arbeitstagen

Produktdetails

ISBN: 978-3-030-34096-4
EAN: 9783030340964
Produktnummer: 35843603
Verlag: Springer International Publishing
Sprache: Englisch
Erscheinungsjahr: 2021
Seitenangabe: 316 S.
Masse: H23.5 cm x B15.5 cm x D1.7 cm 482 g
Auflage: 1st ed. 2020
Abbildungen: Paperback
Gewicht: 482

Über den Autor

M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011. His research interests include distributed machine learning and optimization algorithms, distributed intelligence, sensor networks, interdependent networks, and cyberphysical resilience. Application domains include energy systems, healthcare, device-free human sensing, and transportation networks. Prof. Amini is a life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He organized a panel on distributed learning and novel artificial intelligence algorithms, and their application to healthcare, robotics, energy cybersecurity, distributed sensing, and policy issues in 2019 workshop on artificial intelligence at FIU. He also served as President of Carnegie Mellon University Energy Science and Innovation Club; as technical program committee of several IEEE and ACM conferences; and as the lead editor for a book series on ''Sustainable Interdependent Networks'' since 2017. He has published more than 80 refereed journal and conference papers, and book chapters. He has co-authored two books, and edited three books on various aspects of optimization and machine learning for interdependent networks. He is the recipient of the best paper award of IEEE Conference on Computational Science & Computational Intelligence in 2019, 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.