Prof Raja Jurdak

Honorary Professor

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology

Overview

Professor 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 at the University of Queensland, and an Adjunct Professor at Macquarie University and James Cook University. He is a Senior Member of the IEEE.

Research Interests

  • mobility
  • energy-efficiency
  • sensor networks
  • network science

Research Impacts

See https://research.csiro.au/dss/category/all-projects/ for details

Qualifications

  • Bachelor of Engineering, AMERICAN UNIVERSITY OF BEIRUT
  • Master of Science, UNIVERSITY OF CALIFORNIA
  • Doctor of Philosophy, UNIVERSITY OF CALIFORNIA

Publications

View all Publications

Available Projects

  • A wide range of information sources are highly accessible than ever before, with the help of technological advancements in mobile devices and applications such as social networking services, news feeders, and social media aggregators. Also, the high accessibility is boosted by sharing diverse information between connected neighbours in social networks. Such collective human behaviours not only make underlying social networks far-reaching across multiple social platforms but also leads their connectivity patterns to evolve over time, in accordance with the topic of information items. In this context, PhD research is about uncovering dynamics of topic-related global diffusion across heterogeneous social networks, which includes analysing bursty human behaviours and developing diffusion models.

  • Long-term is critical to logistics, disease spread, and ecology, yet current tracking technologies such as GPS consume too much energy to operate for long durations. This project will investigate algorithms that rely on energy harvesting sources (such as solar and vibration) to achieve energy-neutral operation on embedded trackers, while delivering high tracking performance.

View all Available Projects

Publications

Journal Article

Conference Publication

  • Newman, Blake, Sanders, Joshua, Hughes, Riley and Jurdak, Raja (2010). Demo abstract: TinyTune, a collaborative sensor network musical instrument. In: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems: SenSys 2010. SenSys 2010: 8th ACM International Conference on Embedded Networked Sensor Systems, Zurich, Switzerland, (375-376). 3-5 November, 2010. doi:10.1145/1869983.1870030

  • Valencia, Philip, Lindsay, Peter and Jurdak, Raja (2010). Distributed genetic evolution in WSN. In: Proceedings 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2010. Proc 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Stockholm, Sweden, (13-23). 12-16 April 2010. doi:10.1145/1791212.1791215

  • Valencia, Philip, Jurdak, Raja and Lindsay, Peter (2010). Fitness Importance for online evolution. In: Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. 12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010, Portland, OR United States, (2117-2118). 7 - 11 July 2010. doi:10.1145/1830761.1830890

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • A wide range of information sources are highly accessible than ever before, with the help of technological advancements in mobile devices and applications such as social networking services, news feeders, and social media aggregators. Also, the high accessibility is boosted by sharing diverse information between connected neighbours in social networks. Such collective human behaviours not only make underlying social networks far-reaching across multiple social platforms but also leads their connectivity patterns to evolve over time, in accordance with the topic of information items. In this context, PhD research is about uncovering dynamics of topic-related global diffusion across heterogeneous social networks, which includes analysing bursty human behaviours and developing diffusion models.

  • Long-term is critical to logistics, disease spread, and ecology, yet current tracking technologies such as GPS consume too much energy to operate for long durations. This project will investigate algorithms that rely on energy harvesting sources (such as solar and vibration) to achieve energy-neutral operation on embedded trackers, while delivering high tracking performance.