Prof. Raja Jurdak is a Senior Principal Research Scientist at CSIRO, where he leads the Distributed Sensing Systems Group. He has a PhD in Information and Computer Science at University of California, Irvine in 2005, an MS in Computer Networks and Distributed Computing from the Electrical and Computer Engineering Department at UCI (2001), and a BE in Computer and Communications Engineering from the American University of Beirut (2000). His current research interests focus on energy-efficiency and mobility in networks. Prof. Jurdak and his group have led several large scale and long-term sensing projects on sensing remote and challenging environments, in agriculture, ecology, health, manufacturing, and energy. Most recently, he has led the large Batmon project for continental scale tracking of flying foxes, delivering near-perpetual tracking of small assets. His research at CSIRO has received multiple awards, including the CSIRO medal for environmental achievement and the Endeavour Executive Award in 2011, the Queensland iAwards Merit Award in 2014, and the best paper award at the EWSN conference in 2016.
Prof Jurdak has over 100 peer-reviewed journal and conference publications, as well as a book published by Springer in 2007 titled Wireless Ad Hoc and Sensor Networks: A Cross-Layer Design Perspective. He serves on the editorial board of 2 international journals, Information Processing in Agriculture and International Journal on Distributed Sensor Networks. He regularly serves on the organising and technical program committees of international conferences (DCOSS, RTSS, Sensapp, Percom, EWSN, ICDCS). Prof Jurdak is an Honorary Professor the Unversity of Queensland, and an Adjunct Professor at Macquarie University and James Cook University. He is a Senior Member of the IEEE.
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Dr. Brano Kusy is a principal research scientist in CSIRO and the leader of the Pervasive Computing team. He has a PhD degree in Computer Science from Vanderbilt University, Nashville, USA and an MS degree in Computer Science from Comenius University, Bratislava, Slovakia. His PhD work was on embedded wireless sensor systems, applied in various application scenarios, including acoustic sniper localization and low-power wireless localization and tracking. His main research focus was on system services that enable time and space coordination in embedded distributed systems.
Dr. Kusy worked as a postdoc with Prof. Leo Guibas in the Computer Science department at Stanford University between 2007 and 2009. His research was on low-latency delivery of sensor data to mobile users, discovery and utilization of mobility patterns in urban environments, and information discovery and brokerage in WSNs.
He moved to the Autonomous Systems Lab in Brisbane, Australia in 2009 where he currently works as a research scientist in Data61. His research interests include systems topics in distributed systems, such as reliable wireless communication, delay tolerance in sparsely connected networks, and coordination of time and space of individual sensor nodes. He has applied wireless sensing technology to efficient behavior- and energy-aware sensing of airborne animals (National Flying Fox Monitoring program); high-granularity sensing of occupancy, activity, and user comfort in commercial buildings (Advanced HVAC Control project); and spatio-temporal analysis of environmental and soil parameters in mined areas (ACARP Mine-Rehabilitation project). He is currently leading an activity that seeks to develop novel solutions to the Great Barrier Reef monitoring, focusing on the boundary between novel materials and autonomous systems.
Chris Sharman is a team leader and senior engineer with over a decade experience in developing environmental monitoring and decision support platforms. Working across several domains including marine monitoring, agriculture and aquaculture. Chris has most recently focused on building innovative platform solutions for real-time environmental observations with embedded analytics for decision support applications. Chris has experience leading delivery projects with a client and impact focus whilst working closely with specialist domain expertise. Previous projects have included innovative real-time sensing platforms, soil mapping and sampling systems, low-cost marine sensing systems, robotic sensing platforms and cloud based sensor data management with embedded analytics.
Philip Valencia is Senior Research Engineer with over a decade experience in developing low power wireless sensor network technologies for real-time tracking and measurement of physiological and behavioural characteristics of animals. Based in the Autonomous Systems program at the CSIRO, he has focussed predominately on agricultural applications which can benefit from the unprecedented spatiotemporal sensing that can be delivered by Wireless Sensor Networks (WSN). Through this research, Philip has been involved in Virtual Fencing, environmental sensing of the farm, gas concentration measurement within the rumen of cattle and sheep, location and behavioural monitoring and classification of behavioural states of various animals.
Philip has 3 patents, authored 4 book chapters, 50+ publications with more than 1100 citations and a H-index of 15. His vision is to embed machine learning capabilities into the highly constrained devices used for WSNs to facilitate intelligent pervasive sensing and decision making. As a result this will enable the autonomous management of complex systems, that previously required significant human involvement.
Peter is a senior software engineer and international leader in hydrological data exchange systems. He is the lead author of WaterML2.0 part 1 (time-series) and part 2 (ratings and gaugings), which are now both adopted international standards for data exchange. He chaired the WaterML2.0 Standards Working Group, a collaboration involving many large environmental organisations, including the US Geological Survey, the US National Oceanic & Atmospheric Administration, and the Australian Bureau of Meteorology.
Peter has led a range of projects using real-time sensor data and models to inform environmental decision-making. Before working at CSIRO Peter worked for KISTERS and Hydro Tasmania, where he consulted international firms in environmental monitoring and modelling. He is an active member of the Open Geospatial Consortium.
Dr Arkady Zaslavsky is a Senior Principal Research Scientist in Data61. He led and leads a number of national and international initiatives in the Internet of Things science area. Main research interests include the Internet of Things (IoT), IoT-enabled context- and situation-awareness, prediction and validation, IoT middleware platforms, mobile analytics
John is a research engineer currently working in CSIRO’s Data61 business. He has a robotics background and has previously developed and commissioned autonomous catamarans and submarines. For the last few years John has been managing CSIRO projects in the marine and pond aquaculture space. Currently John is leading a project developing situational awareness and decision support systems for mollusc aquaculture. Under this project CSIRO has developed and deployed a data management and visualisation system for the Tasmanian Shellfish Quality Assurance Program (TSQAP). This system ingests data from several different organisations, including some CSIRO developed environmental monitoring nodes and provides information relevant to public health in the context of each of the State’s shellfish growing zones. This information is used by TSQAP to assist their closure decision making.
More widely, the team John works closely with, have been developing mollusc and salmon bio-sensors. The current generation of salmon biosensors are archival, and the current mollusc sensors are real-time. CSIRO’s telemetry units are providing oyster physiology (heart rate & gaping) as well as water quality (temperature, salinity, DO, depth, chlorophyll) in real-time from farms in southern Tasmania.
Reza’s current research is in hyperspectral image processing. He is also interested in statistical machine learning and deep neural networks. His previous research has mostly been around adaptive and distributed signal processing.
He has BSc and MSc degrees both in electrical engineering and a PhD degree in telecommunications engineering received from the University of South Australia in 2013. Before joining CSIRO in 2015, he worked as a research fellow at the University of South Australia.
Dr Minkyoung Kim – Postdoctoral Fellow
Dr. Minkyoung Kim is a Postdoctoral Research Fellow at CSIRO, where she studies disease spread with Prof. Raja Jurdak. Before she joins CSIRO, she was a postdoctoral researcher at Stanford University after her PhD in Computer Science at Australian National University.
At Stanford University, she worked with Prof. Jure Leskovec, Dan McFarland, and Dan Jurafsky on the diffusion study of scientific innovation across different disciplines from large academic corpora, using computational linguistics and social network methods. Her Doctoral dissertation had been supervised by Prof. Peter Christen, Dr. David Newth, Prof. Lexing Xie, and Prof. Robert Ackland. Her PhD study had focused on dynamics of information diffusion across heterogeneous social networks, which includes analysing collective user behaviours, developing models for macro-level diffusion mechanisms, and inferring topic diffusion across multiple social systems. As important real-world application domains, she tried to uncover diffusion processes of current events in social media and knowledge transfer in academic publications. Overall, her PhD had pursued to understand topic-related information diffusion across heterogeneous social networks in both model-driven and model-free ways. Click here for here for her full Biography .
Mac Coombe is a Mechatronics Engineer with a focus on real-time acquisition and processing of environmental sensor data. Since joining the CSIRO in 2011, he has been involved in a diverse range of projects, including projects in e-health, environmental sensing, geophysical sensor systems, and machine learning in oceanography. His current work involves development of middleware systems for real-time ingestion, processing, storage and visualisation of time-series sensor data, and on development of machine-learning systems for identifying and visualising features of interest in time-series and gridded data. This work provides a platform for realising a vision of cheap, simple and ubiquitous environmental data accessibility for individuals, businesses and governments.
David Biggins is a Software Engineer with a background in electronic engineering. Davids most recent work with CSIRO has been working with the mining industry to develop a UAV platform for mapping inaccessible areas in underground mines using UAVs as a robotic platform and photogrammetry. The maps created consist of 3D textured point clouds and will result in more profitable and safer mining by giving mine planners information they have not had access to in the past. David is a member of the CSIRO Data61, Cyber Physical Systems research program and is located at Sandy Bay, Tasmania.
I am an electronics engineer with almost ten years experience of contributing my skills to CSIRO’s research projects across various scientific domains. My work typically involves the electronics design, firmware/software development, integration, testing, production, and ultimately deployment of autonomous systems. These have included terrestrial and marine wireless sensor networks, standalone remote telemetry units, miniaturised data-loggers, and marine robotic platforms. These systems have helped our scientists and industrial partners to enhance Australia’s terrestrial agriculture, salmon and shellfish aquaculture, and coastal water monitoring practices. I have also contributed to embedded operating systems, and components of CSIRO’s SensorCloud middleware.
Nic is in his final year of studying Mechatronic Engineering majoring in robotics at QUT. His interests have been towards the apple software and how this technology can be embedded or used for robotics. Nic first joined CSIRO in June 2015 as a volunteer looking into what could be achieved with low energy bluetooth beacons and helped start the deployment of what is now a bluetooth sensor network within CSIRO.
Nic is currently working on the iOS version of the CSIRO Site App which uses the bluetooth beacon sensor network to localise people within the QCAT site. This application also allows users to interact with friends, post hazards that appear within the site and collect packages from reception. This application has been rolled out to a few people within the CSIRO community but will expanding the app to have a multi site platform available for all of CSIRO.
Lachlan is an Embedded engineer with over 2 years of experience with embedded systems development, PCB, and CAD design. Lachlan graduated with a Bachelor of Electronic and Computer Systems Engineering and a BSc in Physics from Griffith University. Lachlan is currently working on developing the next generation wireless sensor network hardware platform with long-range communications, applied to wildlife tracking and agricultural projects. Lachlan previously worked with the State Library to designing Printed Circuit boards and Embedded Software, and delivering workshops teaching basic science and electronics skills.
Stellan Simmonds recently graduated from Queensland University of Technology with a Bachelor’s degree in Mechatronics and robotics. He previously has worked on low power control and navigation for a wind powered ocean monitoring platform at the Queensland University of Technology’s Institute of Future Environments. Currently, Stellan is working on hardware and software for wireless sensor network gateways and sensor-nodes used in agricultural livestock monitoring.
Dylan Williamson is a Mechatronics Engineer working on designing embedded computing systems to gather, process and transmit sensor data from farms for use in computer vision and machine learning algorithms. He has Bachelor of Engineering (Honours) from the University of Queensland(2015). As a part of his degree Dylan worked with the Autonomous Systems program, focusing on energy optimization on all-terrain hexapod robots with limited sensing capability, which he hopes to have published in 2016. Dylan has also spent time outside of CSIRO working with emerging tech in mobile development including iBeacons and augmented reality alongside more traditional control and automation applications like autonomous vehicles and simple UAVs.