A number of talks will be made by invited speakers during ISSNIP. Currently the following talks are scheduled:
Title: Maximising the Lifetime of Robust Wireless Sensor Networks through Strategic Relay Placement.
Abstract: In communication networks a bottleneck can be any node or link at which a performance objective attains its least desirable value. For example, in wireless sensor networks a key objective is to optimise the lifetime of individual nodes. Nodes communicating over large distances utilise the most energy and therefore die first due to battery depletion. Consequently these nodes are considered to be bottlenecks of the network, and can be determined by locating nodes incident to the longest links in the transmission network. Equivalently we may consider the longest links to be the bottlenecks, and this is the approach taken here.
This talk considers the problem of adding a fixed number of relays to a sparse Wireless Sensor Network so that the longest "bottleneck" link in the associated transmission network is minimised. The network should also be robust, in the sense that the unexpected death of a single node will not disconnect the remainder of the network. This can be modelled as an optimisation problem known as the bottleneck 2-connected Steiner network problem. We show that this problem can be exactly and efficiently solved using the properties of combinatorial structures such as 2-relative neighbourhood graphs and farthest colour Voronoi diagrams. More generally, this talk demonstrates the important role graph theory and geometry can play in the efficient design of wireless sensor networks.
Biography: Dr Marcus Brazil is a researcher and Senior Lecturer in the Department of Electrical and Electronic Engineering and Adjunct Senior Lecturer in The Department of Mathematics and Statistics at The University of Melbourne. He received a PhD in Mathematics, in the field of Computational and Geometric Group Theory from La Trobe University in 1995. His main expertise is in Optimal Network Design with applications to Wireless Sensor Networks, Telecommunications, VLSI Physical Design, and Underground Mining. In the area of Wireless Sensor Networks he leads a team studying optimal relay placement and associated network deployment issues.
Title: iWays: Technologies for real-time city-wide traffic management
Abstract: Traffic congestion has evolved into a major challenge of modern society. A recent report of Federal Infrastructure Minister Anthony Albanese states that the estimated cost of traffic congestion in Australia for the economy was $9.4 billion in 2005 and is estimated to rise to $20 billion by 2020. Congestion impacts road safety, and increases the travel times of road users, fuel consumption and air pollution. Combating traffic congestion is one of the major challenges of modern society. The automotive industry is beginning to equip the next generation of cars with advanced sensing and communication capabilities. Traffic management algorithms can use real-time traffic information to continuously optimize a road user's route in terms of safety, travel time and overall fuel consumptionwhich in turn leads to fewer greenhouse gas emissions.. In this talk we highlight techniques that enable safe assistive driving systems. These techniques exploit real-time sensor data for improving traffic flow and provide early warnings of hazardous traffic conditions
.Bio: Prof Kotagiri received his degrees BE at Andhra University, ME at the Indian Institute of Science, Bangalore and PhD at Monash University. He was awarded the Alexander von Humboldt Fellowship in 1983. He has been at the University Melbourne since 1980 and was appointed aprofessor in computer science in 1989. Rao held several senior positions including Head of Computer Science and Software Engineering, Head of the School of Electrical Engineering and Computer Science at the University of Melbourne, Deputy Director of Centre for Ultra Broadband Information Networks, Co‐Director of the Key Centre for Knowledge‐Based Systems, and Research Director for the Cooperative Research Centre for Intelligent Decision Systems.
He served as a member of the Australian Research Council Information Technology Panel. He served on the Prime Minister's Science, Engineering and Innovation Council working party on Data for Scientists. He is serving (or served) on several Editorial Boards including the Computer Journal, Universal Computer Science, the Journal of Knowledge and Information Systems, IEEE TKDE (Transactions on Knowledge and Data Engineering), Journal of Statistical Analysis and Data Mining and VLDB (Very Large Data Bases) Journal.
He served as a program committee member of several International conferences including SIGMOD, IEEE ICDM, VLDB, ICLP and ICDE. He was the program Co‐Chair for VLDB, PAKDD, DASFAA and DOOD conferences. He is a steering committee member of IEEE ICDM, DAFAA and PAKDD. He is a Fellow of IEAUST, Australian Academy of Technological Sciences and Australian Academy of Science. He is the recipient 2009 Australian Computer Science (CORE) distinguished contribution award and 2008 PAKDD distinguished Contribution award. He is member of the working group of “The Future Science – Computing Science Project”.
Abstract: This work presents the development of a robotic wheelchair which offers the user (adult or children) with flexibility of either supervised or fully automatic unsupervised navigation. It offers the user with multiple command options to provide support for people with different levels of disabilities. User may command the chair based on eye blinks recorded using electromyographic signals (EMG), eye movements using videooculogram, head movements using accelerometer or video camera, and using electroencephalogram (EEG signals). The wheelchair also is equipped with a communication system that allows the user to communicate with people in the close proximity. The user is provided with an easy to use and flexible Graphical User Interface (GUI) on a Personal Digital Assistant (PDA) that allows the users to communicate the commands, needs or emotions.
Bios: Dr. Teodiano Freire Bastos Filho graduated in Electrical Engineering at Universidade Federal do Espirito Santo (Vitoria, Brazil), in 1987. He received his Specialization in Automation in 1989 at Instituto de Automatica Industrial (Madrid, Spain) and his Ph.D. in 1994 in Physical Science (Electricity and Electronics) at Universidad Complutense de Madrid (Spain). He is currently an Associate Professor in Department of Electrical Engineering, Universidade Federal do Espirito Santo (Vitoria, Brazil). His current research interests are mobile robots and assistive technology for handicapped people. He has organized 8 international conferences (ISSNIP 2011 and 2010, IWSSIP2010, BIODEVICES 2010, 2009 and 2008, IBERDISCAP 2006, 2003). He has published more than 200 works: 26 in Journals (IEEE, Sensors and Actuators, Sensor Review, etc.), 173 in Conferences (IEEE, IFAC, etc.), 5 books of conference and 5 chapters of books. He holds one international invention patent and one national invention patent and has developed 18 products/processes without patent registration. He has supervised 5 Ph.D. thesis, 17 M.Sc. dissertation, 33 graduated Works and 28 scientific initiation works. Currently, He is supervising 3 postdoctorate, 9 Ph.D. and 5 M.Sc. students.