Professor Raja Jurdak
Faculty of Science,
School of Computer Science
Biography
Raja Jurdak is a Professor of Distributed Systems & Chair in Applied Data Sciences, as well as the Director of the Trusted Networks Lab at Queensland University of Technology. His main research interest is around dynamic network modelling. Networks and network science provide powerful representation of physical and logical relationships to gain insights into a broad range of systems, from communication and cyber-physical systems and Internet of Things to individual and entity relationship networks and interactions to guide value-creating decisions. He is particularly interested in delivering end-to-end trust in data and systems involved in distributed networks, using tools such as blockchain and distributed ledger technology, understanding network dynamics driven by mobility to forecast diffusion processes, such as disease spread, and sustainable in-situ intelligence in networks. From 2008 to 2019, he was at CSIRO, where he established and led the Distributed Sensing Systems Group that spans Brisbane, Hobart, and Canberra, and is one of the leading large scale sensing group worldwide. He currently maintains a visiting scientist role with the DSS Group. He has a PhD in Information and Computer Science at University of California, Irvine, an MS in Computer Networks and Distributed Computing from the Electrical and Computer Engineering Department at UCI, and a BE in Computer and Communications Engineering from the Faculty of Engineering and Architecture at the American University of Beirut.Professional Activities
- IEEE Computer Society Distinguished Visitor
- Senior Member, IEEE
- Technical Program Committee co-Chair, IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2021
- Editorial Board Member, Ad Hoc Networks Journal (2019-present)
- Editorial Board Member, PLoS ONE (2018-present)
- Editorial Board Member, Information Processing in Agriculture (2015-present)
- Editorial Board Member, Journal of Sensor and Actuator Networks (2017-present)
- Advisory Board Member, International Journal of Distributed Sensor Networks (2017-present)
- Editorial Board Member, International Journal of Distributed Sensor Networks (2014-2017)
- 2022: CSIRO Health and Biosecurity Impactful Science Award
- 2019: Eureka Prize Finalist (Excellence in Interdisciplinary Scientific Research) – DiNeMo project
- 2016: Best paper award at Embedded Wireless Sensor Networks Conference
- 2014: QLD iAwards Merit Award
- 2011: Endeavour Executive Award
- 2011: CSIRO Medal for Environmental Achievement
- 2020-present: Director, Trusted Networks Lab, QUT
- 2019-present: Professor of Distributed Systems & Chair in Applied Data Sciences, QUT
- 2011-2019: Research Group Leader, Distributed Sensing Systems, CSIRO
- 2017: Sensor Networks Group at Oxford University
- 2016-2019: Senior Principal Research Scientist, CSIRO Data61
- 2011: CSAIL at MIT
- 2010-2016: Principal Research Scientist, CSIRO
- 2008-2009: Senior Research Scientist, CSIRO
- 2006-2008: Research Fellow, University College Dublin, Ireland
- 2005: Project Scientist, University of California, Irvine
- 2003-2005: Research Assistant, University of California, Irvine
Google Scholar Profile
ResearchGate Profile
DBLP publications
Publons Profile
Personal Home Page
Trusted Networks Lab
Personal details
Positions
- Professor of Distributed Systems & Chair in Applied Data Sciences
Faculty of Science,
School of Computer Science
Keywords
Internet of things, blockchain, network modelling, mobility modelling, diffusion, energy-efficiency, trust
Research field
Distributed computing and systems software, Artificial intelligence
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy in Information and Computer Science (University of California)
Professional memberships and associations
- Senior Member of the Institute of Electrical and Electronics Engineers IEEE
- Member of the IEEE Communications Society
Teaching
- IFN712 Research in IT Practice: This unit develops students' understanding and higher order thinking related to the key concepts, principles, methodologies regarding research and provide the skills required in to perform research within professional settings and professional practice.
- IFN649 Advanced Networks: This unit is designed for graduate students in the Masters of IT. Students will learn the theory, architecture, hardware/software, and programming of networks, including network services and Internet-of-Things (IoT).
- EGH400 1 &2: Research Project 1 and 2 are the capstone research-informed units for the Bachelor of Engineering (Honours) degree. They draw together the theory and practice of your major engineering studies, covered in the previous six semesters of the program.
Publications
- Dorri, A., Kanhere, S., Jurdak, R. & Gauravaram, P. (2017). Blockchain for IoT security and privacy: The case study of a smart home. Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2017), 618–624. https://eprints.qut.edu.au/131768
- Kim, M., Paini, D. & Jurdak, R. (2019). Modeling stochastic processes in disease spread across a heterogeneous social system. Proceedings of the National Academy of Sciences of the United States of America, 116(2), 401–406. https://eprints.qut.edu.au/131742
- Jurdak, R., Corke, P., Dharman, D. & Salagnac, G. (2010). Adaptive GPS duty cycling and radio ranging for energy-efficient localization. Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems - SenSys 2010, 57–70. https://eprints.qut.edu.au/41589
- Dorri, A., Steger, M., Kanhere, S. & Jurdak, R. (2017). BlockChain: A distributed solution to automotive security and privacy. IEEE Communications Magazine, 55(12), 119–125. https://eprints.qut.edu.au/131729
- Jurdak, R., Zhao, K., Liu, J., AbouJaoude, M., Cameron, M. & Newth, D. (2015). Understanding human mobility from Twitter. PLoS One, 10(7), 1–16. https://eprints.qut.edu.au/131708
- Dorri, A., Kanhere, S. & Jurdak, R. (2019). MOF-BC: A memory optimized and flexible blockchain for large scale networks. Future Generation Computer Systems, 92, 357–373. https://eprints.qut.edu.au/131748
- Rana, R., Hume, M., Reilly, J., Jurdak, R. & Soar, J. (2016). Opportunistic and context-aware affect sensing on smartphones. IEEE Pervasive Computing, 15(2), 60–69. https://eprints.qut.edu.au/131727
- Dorri, A., Kanhere, S. & Jurdak, R. (2017). Towards an optimized blockchain for IoT. Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 173–178. https://eprints.qut.edu.au/131714
- Corke, P., Wark, T., Jurdak, R., Hu, W., Valencia, P. & Moore, D. (2010). Environmental wireless sensor networks. Proceedings of the IEEE, 98(11), 1903–1917. https://eprints.qut.edu.au/42703
- Geissdoerfer, K., Jurdak, R., Kusy, B. & Zimmerling, M. (2019). Getting more out of energy-harvesting systems: energy management under time-varying utility with PreAct. Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 109–120. https://eprints.qut.edu.au/131710
QUT ePrints
For more publications by Raja, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2024
- Details
- Prof. Jurdak serves on the Editorial Board of IEEE Transactions on Network and Service Management (D1 journal) since 2024
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- The Disease Networks and Mobility project (DiNeMo) led by Prof. Jurdak was named as finalist for the UNSW Eureka Prize for Excellence in Interdisciplinary Scientific Research in July 2019. DiNeMo is a real-time surveillance system for human infectious diseases, such as dengue. By combining expertise, data and methods from epidemiology, transport engineering, biosecurity and data science, DiNeMo enables hospitals and biosecurity agencies to predict when and where a disease outbreak is likely to occur, enabling efficient diagnosis and treatment.
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2019
- Details
- Prof. Jurdak is an editorial board member of the Ad Hoc Networks journal, published by Elsevier (Q1, Impact Factor: 3.490).
- Type
- Visiting Professorships/Fellowships
- Reference year
- 2017
- Details
- Prof. Jurdak was a visiting academic at the Sensor Networks Group at Oxford University in 2017
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2016
- Details
- Co-authored titled "Information Bang for the Energy Buck: Towards Energy- and Mobility- Aware Tracking" won the Best Paper Award at the International Conference on Embedded Wireless Systems and Networks (EWSN) in Graz, Austria in February, 2016.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2011
- Details
- Prof. Jurdak was granted an Endeavour Executive Award in 2011 for a visit to Massachusetts Institute of Technology.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2011
- Details
- Prof. Jurdak led a team that was granted a CSIRO Medal for Environmental Achievement for their work on a Smart Office System to improve energy efficiency.
Supervision
Current supervisions
- A Decentralised Publish-Process-Subscribe Data Sharing Platform for Supply Chain Applications
PhD, Principal Supervisor
Other supervisors: Dr Gowri Ramachandran - Secure and Efficient Backup Through Universal Data Deduplication
PhD, Principal Supervisor
Other supervisors: Dr Shantanu Pal, Dr Gowri Ramachandran - Distributed and Privacy Preserving Analytics of Distributed Energy Trading Data
PhD, Principal Supervisor
Other supervisors: Dr Ali Dorri
Supervision topics
The supervisions listed above are only a selection.