Dr Iman Shames
Iman Shames is a Senior Lecturer at the University of Melbourne. Previously, he had been a McKenzie Research Fellow at the department of Electrical and Electronic Engineering, the University of Melbourne from 2013 to 2014. He was an ACCESS Postdoctoral Researcher at the ACCESS Linnaeus Centre, the KTH Royal Institute of Technology, Stockholm, Sweden from 2011 to 2012. He received his Ph.D. degree in engineering and computer science from the Australian National University, Canberra, Australia in 2011 and his B.S. degree in Electrical Engineering from Shiraz University, Iran in 2006. He has been a visiting researcher at ETH in 2012, Chalmers Technical University in 2011, the Delft Technical University in 2011, TU Munchen in 2011, the KTH Royal Institute of Technology in 2010, the University of Tokyo in 2008, and at the University of Newcastle in 2010 and 2005. His current research interests include optimisation, complex systems, sensor networks, and security in networked systems.
- Farokhi F, Cantoni M, Shames I. A Game-Theoretic Approach to Distributed Scheduling of Rigid Demands on Dynamical Systems. 2016 Australian Control Conference (AUCC). Engineers Australia. 2016.
- Cantoni M, Farokhi F, Kerrigan E, Shames I. A scalable QP solver for optimal control of cascades with constraints. 2016 Australian Control Conference (AUCC). Engineers Australia. 2016.
- Guler S, Fidan B, Dasgupta S, Anderson BDO, Shames I. Adaptive Source Localization Based Station Keeping of Autonomous Vehicles. IEEE Transactions on Automatic Control. IEEE - Institute of Electrical and Electronic Engineers. 2016.
- Summers T, Shames I. Convex relaxations and Gramian rank constraints for sensor and actuator selection in networks. 2016 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC). IEEE. 2016.
- Deghat M, Ugrinovskii V, Shames I, Langbort C. Detection of biasing attacks on distributed estimation networks. 2016 IEEE 55th Conference on Decision and Control (CDC). 2016.
- Ju Z, Shames I, Nesic D. Ensuring communication connectivity in multi-agent systems in the presence of uncooperative clients. 2016 IEEE 55th Conference on Decision and Control (CDC). 2016.
- Shames I, Farokhi F, Cantoni M. Guaranteed maximum power point tracking by scalar iterations with quadratic convergence rate. 2016 IEEE 55th Conference on Decision and Control (CDC). 2016.
- Farokhi F, Shames I, Rabbat MG, Johansson M. On reconstructability of quadratic utility functions from the iterations in gradient methods. AUTOMATICA. Pergamon-Elsevier Science. 2016, Vol. 66.
- Farokhi F, Shames I. Preserving privacy of agents in participatory-sensing schemes for traffic estimation. 2016 IEEE 55th Conference on Decision and Control (CDC). 2016.
- Farokhi F, Shames I, Batterham N. Secure and Private Cloud-Based Control Using Semi-Homomorphic Encryption. IFAC-PapersOnLine. 2016, Vol. 49, Issue 22.
- Zhu Y, Shames I, Manzie C. Stability analysis for distributed perimeter controlled traffic networks. Proceedings of the American Control Conference. 2016, Vol. 2016-July.
- Teixeira A, Ghadimi E, Shames I, Sandberg H, Johansson M. The ADMM Algorithm for Distributed Quadratic Problems: Parameter Selection and Constraint Preconditioning. IEEE TRANSACTIONS ON SIGNAL PROCESSING. IEEE - Institute of Electrical and Electronic Engineers. 2016, Vol. 64, Issue 2.
- Selvaratnam DD, Shames I, Ristic B, Manton J. The Effect of Sensor Modality on Posterior Cramer-Rao Bounds for Simultaneous Localisation and Mapping. 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV). 2016, Vol. 49, Issue 15.
- Teixeira A, Shames I, Sandberg H, Johansson KH. A secure control framework for resource-limited adversaries. AUTOMATICA. Pergamon-Elsevier Science. 2015, Vol. 51.
- Alpcan T, Shames I. An Information-Based Learning Approach to Dual Control. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. IEEE - Institute of Electrical and Electronic Engineers. 2015, Vol. 26, Issue 11.
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Electrical and Electronic Engineering, Parkville
University of Melbourne
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