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作者: S. S. Iyengar

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Bin Shi is a Ph.D. candidate in the School of Computing and Information Sciences at FIU under the supervision of Professor Sitharama S. Iyengar. His preliminary research focuses on the theory of machine learning, especially on optimization. Bin Shi received his B.S. of Applied Math from Ocean University of China, China in 2006, Master of Pure Mathematics from Fudan University, China in 2011 and Master of Theoretical Physics from University of Massachusetts Dartmouth in 2015. His research interests focus on statistical machine learning and optimization, some theoretical computer science. Dr. S.S. Iyengar is the Distinguished University Professor, Ryder Professor of Computer Science and Director of the School of Computing and Information Sciences at Florida International University (FIU), Miami. He is also the founding director of the Discovery Lab. Prior to joining FIU, Dr. Iyengar was the Roy Paul Daniel”s Distinguished Professor and Chairman of the Computer Science department for over 20 years at Lousiana State University. He has also worked as a visiting scientist at Oak Ridge National Lab, Jet Propulsion Lab, Satish Dhawan Professor at IISc and Homi Bhabha Professor at IGCAR, Kalpakkam and University of Paris and visited Tsinghua University, Korea Advanced Institute of Science and Technology (KAIST) etc. Professor Iyengar is an IEEE Distinguished Visitor, SIAM Distinguished Lecturer, and ACM National Lecturer and has won many other awards like Distinguished Research Master”s award, Hub Cotton award of Faculty Excellence (LSU), Rain Maker awards (LSU), Florida Information Technology award (IT2), Distinguished Research award from Tunisian Mathematical Society etc. During the last four decades, he has supervised over 55 Ph.D. students, 100 Master”s students, and many undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world. He has publishedmore than 500 research papers, has authored/co-authored and edited 22 books. His books are published by MIT Press, John Wiley, and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled /Introduction to Parallel Algorithms” has been translated to Chinese.




10 电子书 S. S. Iyengar

Bin Shi & S. S. Iyengar: Mathematical Theories of Machine Learning – Theory and Applications
This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle po …
PDF
英语
€93.08
Kianoosh G. Boroojeni & M. Hadi Amini: Smart Grids: Security and Privacy Issues
This book provides a thorough treatment of privacy and security issues for researchers in the fields of smart grids, engineering, and computer science. It presents comprehensive insight to …
PDF
英语
€53.49
M. Hadi Amini & Kianoosh G. Boroojeni: Sustainable Interdependent Networks II
This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides t …
PDF
英语
€96.29
Kianoosh G. Boroojeni & S. S. Iyengar: Oblivious Network Routing
Versatile solutions to routing network flows in unpredictable circumstances, presenting both mathematical tools and applications.Our increasingly integrated world relies on networks both physical and …
PDF
英语
DRM
€119.79
S.S. Iyengar: Scalable Infrastructure for Distributed Sensor Networks
This is the only book to cover infrastructure aspects of sensor networks in a comprehensive fashion. The only other books on sensor networks do not cover this topic or do so only superficially as …
PDF
英语
DRM
€149.79
M. Hadi Amini & Kianoosh G. Boroojeni: Sustainable Interdependent Networks
This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social …
PDF
英语
€96.29
Pawel Sniatala & S.S. Iyengar: Evolution of Smart Sensing Ecosystems with Tamper Evident Security
This book presents an overview on security and privacy issues in dynamic sensor networks and Internet of Things (Io T) networks and provides a novel tamper evident technique to counter and defend aga …
PDF
英语
€149.79
Sankita J. Patel & Naveen Kumar Chaudhary: Information Security, Privacy and Digital Forensics
This volume comprises the select proceedings of the International Conference on Information Security, Privacy, and Digital Forensics (ICISPD 2022). The content discusses novel contributions and lat …
PDF
英语
€171.19
S. S. Iyengar & Azad M. Madni: Deep Learning Networks
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep …
EPUB
英语
DRM
€111.33
Cliff Wang & S.S. Iyengar: AI Embedded Assurance for Cyber Systems
The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed&# …
PDF
英语
€139.09