Dr Rahul Savani University of Liverpool, UK
Dr Rahul Savani is a Reader in the Department of Computer Science at the University of Liverpool. He works on problems at the interface of economics/finance and computer science. He has worked extensively on equilibrium computation for game-theoretic models of strategic interaction. He has also worked as a consultant on a variety of algorithmic trading projects. Currently, he leads the Economics and Computation Research Group.
Prof Cipriani Christian The Biorobotics Institute, Italy
Prof Erol Gelenbe Imperial College, London
Energy Packet Networks: from Data Transmission to Smart Energy Systems
Energy Packets (EP) are a discrete representation of units of energy that we introduced in 2012. Based on recent work we will show how EPs can be dynamically dispatched in a computer system or network in order to optimise the energy consumption of Clouds and Networks. We will also show how the EP paradigm can be used to represent the energy efficient operation of wireless devices, and discuss how EPs can describe the efficiency of data transmission with quantum devices.
Erol Gelenbe currently coordinates the EU FP7 Project NEMESYS on the Security of Mobile Networks. He is PI for Imperial College in the EU FP 7 Project PANACEA on Resilient Cloud Computing, and is PI of the EPSRC Project E-CROPS regarding the use of energy harvesting in communication networks which is part of an ERANET.
His research develops probability models in the computer and information sciences and applies them to the design of novel networked systems. He has contributed seminal work on the performance of random access multi-user communications, on diffusion models of multiprogramming systems, on the adaptive control and performance of virtual memory systems, on optimum checkpoints in databases, on the evaluation of database operations, and has introduced new product form queueing network models that incorporate control functions (such as workload re-routing and work remobal) now called G-networks. His work on models of spiked neurons has resulted in the design of a large scale “autonomic” packet network (CPN: the cognitive packet network) which uses neural networks in each node for routing decisions (http://san.ee.ic.ac.uk). He also investigates equilibria in large agent populations which may have collaborative or adversarial behaviours, as in biology or with software agents. Some of his recent work analyses the time that it takes to “search” when one has imperfect or wrong information about the location of the object that is being sought; this is relevant both to wireless networks, to robotics and to optimisation.
Prof. Mark Winands Maastricht University, The Netherlands