
Smart Grids: Security and Privacy Issues
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Kianoosh G. Boroojeni is a PhD candidate of computer science at FIU. He received his Computer Science B.Sc in University of Tehran, Iran (2012).research interests include network algorithms, cybersecurity, and optimization algorithms. He co-authored two books entitled "Mathematical Theories of Distributed Sensor Networks" (published by Springer) and "Oblivious Network Routing: Algorithms and Applications" (published by MIT Press). Currently, Kianoosh is collaborating with Dr. S.S. Iyengar on some security issues in the context of cloud computing and smart grids.
M. Hadi Amini
received the B.Sc. degree from the Sharif University of Technology, Tehran, Iran, in 2011, and the M.Sc. degree from Tarbiat Modares University, Tehran, in 2013, both in Electrical Engineering. He also received the M.Sc. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2015. He is currently pursuing the dual-degree Ph.D. in Electrical and Computer Engineering with the Department of Electrical and Computer Engineering, Carnegie Mellon University (CMU), Pittsburgh, PA, USA and Computer Science and Technology with the Sun Yat-sen University-CMU Joint Institute of Engineering, School of Electronics and Information Technology, Guangzhou, Guangdong, China. He is also with SYSU-CMU Shunde International Joint Research Institute, Shunde, Guangdong, China. Hadi serves as reviewer for several high impact journals and international conferences and symposiums in the field of smart grid. He has published more than 40 papers in refereed journal and international conferences in the smart grid related areas. He has been awarded the 5-year scholarship from the SYSU-CMU Joint Institute of Engineering in 2014, sustainable mobility summer fellowship from Massachusetts Institute of Technology (MIT) office of sustainability in 2015, and the deans honorary award from the president of Sharif University of Technology in 2007. His current research interests include smart grids, electric vehicles, distributed optimization methods in interdependent power and transportation networks, and state estimation.
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