The driving interest of my research is around mobility and energy-efficiency in sensor networks. As our world embeds more resource-limited devices for digital data collection, coordinating among these devices to extract the most information value is key for better understanding the physical world and to determine how to best manage it. Sensor networks that operate in full harmony with the underlying dynamics of the environment they aim to monitor is the ultimate goal of my work.
I am a Senior Principal Research Scientist at CSIRO Data61, where I lead the Distributed Sensing Systems Group that spans Brisbane, Hobart, and Melbourne. I have a PhD in Information and Computer Science at University of California, Irvine in September 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 Faculty of Engineering and Architecture at the American University of Beirut in (2000).
I have worked and studied in four continents (so far), in both academic and R&D organizations, and greatly enjoyed the diversity of these experiences, both professionally and personally. In 2005, I was a Project Scientist at UCI, before joining University College Dublin, Ireland as a research fellow in 2006. I then joined CSIRO, Australia in 2008, and I currently hold appointments as an Honorary Professor at the University of Queensland and Adjunct Professor at Macquarie University and James Cook University . I have held Visiting Scientist/Academic roles at MIT’s CSAIL Lab in 2011 and University of Oxford’s Sensor Networks Lab in 2017.
Honours and Awards
- EWSN Best Paper Award, 2016
- QLD iAward Merit Award, 2014
- CSIRO Medal for Environmental Achievement, 2011
- Endeavour Executive Award, 2011
- Elected as IEEE Senior Member, 2010
- Enterprise Ireland Commercialization Award, 2007
- Irish Research Council Embark Award, 2006
Selected Presentations – All Presentations
Towards an Optimised Blockchain for IoT, IoTDI, Pittsburgh, USA, April 2017.
Information Bang for the Energy Buck: Towards Energy- and Mobility-Aware Tracking, EWSN, Graz, Austria, February 2016.
Long-term Tracking in Batmon: Lessons and Open Challenges, MLSDA Keynote Speech, Gold Coast, Australia, December, 2014
Long-term Continental Scale Tracking of Flying Foxes: Where delay tolerance meets resource constraints, IEEE SenseApp Keynote Speech, Sydney, Australia, October, 2013.
Camazotz: Multimodal Activity-base GPS Sampling (presented by Philipp Sommer), IPSN, Philadelphia, USA, April 2013.
Adaptive GPS Duty Cycling with Radio Ranging for Energy-Efficient Localization, ACM Sensys, Zurich Switzerland. November, 2010.
Selected Media Coverage – All Media Coverage
How Blockchain could Revolutionise the Internet of Things, Forbes, June, 2017.
What if intelligent machines could learn from each other, The Conversation, August, 2016.
The implications of tracking animals and people, interview on ABC Radio, Goldfields-Esperance, WA, Australia, February, 2016.
Imagine what we could learn if we put a tracker on everyone and everything, The Conversation, February, 2016.
City bikeshare programs may make commuters more active, Reuters, June, 2015.
The Architect of a Social Network for Scientists, TIME, November, 2014.
SMS service could spot the next Ebola outbreak zone, Wired Magazine UK, October 2014.
How An Intelligent Text Message Service Aims To Tackle Ebola In Western Africa, MIT Technology Review, October, 2014.
Solar-Powered Fruit Bat Trackers Could Turn Bikeshare Programs Into Data Fleets, Fast Company, January, 2014.
Selected Publications – All Publications
A. Dorri, M. Steger, S. Kanhere, and R. Jurdak, “BlockChain: A Distributed Solution to Automotive Security and Privacy”, IEEE Communications Magazine, Volume 55, Issue 12, pages 119-125, December, 2017. DOI: 10.1109/MCOM.2017.1700879.
A. Dorri, S. Kanhere, and R. Jurdak, “Towards an Optimized BlockChain for IoT,” In proceedings of the 2nd IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI 2017), as part of CPSWeek, Pittsburgh, USA, April, 2017.
K. Zhao and R. Jurdak, “Understanding the spatiotemporal pattern of grazing cattle movement,” Nature Scientific Reports, 6:31967 EP, August 2016.
P. Sommer, J. Liu, K. Zhao, B. Kusy, R. Jurdak, “Information Bang for the Energy Buck: Energy- and Mobility-Aware Tracking,” In proceedings of The International Conference on Embedded Wireless Systems and Networks (EWSN), Graz, Austria, February, 2016.Winner of Best Paper Award
R. Rana, M. Hume, R. Jurdak, J. Soar, J. Reilly, “Transforming knowledge capture in healthcare: Opportunistic and Context-aware affect Sensing on Smartphones,” IEEE Pervasive Computing, 15 (2), 60-69, 2016.
R. Jurdak, K. Zhao, J. Liu, M. AbouJaoude, M. Cameron, D. Newth, “Understanding Human Mobility from Twitter,” PLOS ONE, 10(7): e0131469. doi:10.1371/journal.pone.0131469. July, 2015.
J. Liu, K. Zhao, P. Sommer, S. Shang, B. Kusy, & R. Jurdak,”Bounded Quadrant System: Error-bounded Trajectory Compression on the Go,” In proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), Seoul, Korea, April, 2015.
R. Jurdak, B. Kusy, P. Sommer, N. Kottege, C. Crossman, A. McKeown, D. Westcott, “Camazotz: Multimodal Activity-based GPS Sampling,” In proceedings of the 12th International Conference on Information Processing in Sensor Networks (IPSN), Philadelphia, USA, April, 2013.
R. Jurdak, P. Corke, D. Dharman, and G. Salagnac. “Adaptive GPS Duty Cycling and Radio Ranging for Energy-Efficient Localization,” In proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (Sensys), pages 57-70. Zurich, Switzerland, November 2010.
P. Corke, T. Wark, R. Jurdak, W. Hu, P. Valencia, and D. Moore. “Environmental Wireless Sensor Networks,” Proceedings of the IEEE, Special Issue on Emerging Sensor Network Applications, Vol. 98, No. 11, pages 1903-1917, November 2010. (Invited paper)
R. Jurdak, A. G. Ruzzelli, and G.M.P. O’Hare. “Radio Sleep Mode Optimization in Wireless Sensor Networks,” IEEE Transactions on Mobile Computing, Vol. 9 No. 7, July, 2010.
R. Jurdak, P. Baldi, and C.V. Lopes. “Adaptive Low Power Listening for Wireless Sensor Networks,” IEEE Transactions on Mobile Computing. Volume 6, Issue 8, pp. 988-1004. August, 2007.
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