Dr Jayaraman is an early career researcher working in the area of distributed systems in particular Internet of Things (IoT), Cloud and Mobile Computing. He has published over 45 papers including 13 Journal papers (Transaction of Cloud Computing, Elsevier Computational Science, Transactions on Large-Scale Data- and Knowledge-Centred Systems, IEEE Journal on Selected Areas in Communications, The Scientific World Journal) in the related area of his research. His Google Scholar citation is 264 with a h-index of 9.
Prior to joining RMIT, Dr Jayaraman was a Post Doctoral Research Scientist (2012 - 2015) in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO) – Australian Government’s Premier Research Agency. Prior to that, he worked as a Research Fellow and Lecturer at the Centre for Distributed Systems and Software Engineering, Monash University, Melbourne, Australia (2010 – 2011).
He is an active member and a significant contributor (research and development) to the EU FP7 STReP project (4.182M euro with EU funding of 2.455M euro), Open source platform for Internet of Things (OpenIoT - www.openiot.eu). The project has focused on developing an open source cloud-based middleware platform for Internet of Things that facilitates sensor discovery, real time data analytics with use cases in agriculture, smart cities, smart manufacturing and elderly health care management domains. The OpenIoT project won the prestigious Black Duck Rookie of the Year Award in 2013.
Dr Jayaraman obtained his PhD (2011) from Monash University where he worked on developing a context-aware middleware for collecting data from wireless sensors networks using mobile smart phones in smart city environments. His thesis was titled "Cost-Efficient Collection and Delivery of Sensor Data using Mobile Devices". His PhD paper titled "Intelligent Processing of K-Nearest Neighbours Queries using Mobile Data Collectors in a Location Aware 3D Wireless Sensor Network" was awared the Best Paper Award at the Twenty Third International Conferences on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010).
He is also the recipient of several awards including hackathon challenges:
- Unearthed hackathon Melbourne
- The 4th International Conference on IoT (2014) at MIT media lab, Cambridge, MA
- IoT Week 2014 in London.
Dr Jayaraman is a Research fellow in the School of Science (formerly Computer Science and IT) at RMIT University. His role is to pursue industry focused research and development in the areas of Internet of Things (IoT), Mobile and Cloud Computing. In particular, my roles and responsibility include conducing high quality and high impact research in the aforementioned areas and apply for research and industry grants to R&D relevant to industry.
He is always looking for potential candidates and collaboration opportunities to further pursue and expand his research. Please feel free to contact him if you interested to work on any current projects or related areas of interest.
Winner of Unearthed Hackathon challenge “Smart Phone of Things”. He jointly with Data61, CSIRO team developed a solution PPEofThings to enhance safety of mine workers.
- PhD (Monash University)
- Masters in Network Computing (Monash University)
- Bachelor of Information Technology (B.Tech IT – Madras University)
Dr Jayaraman was employed as a Post Doctoral Research fellow in the Digital Productivity Flagship at Commonwealth Scientific Industrial Research Organisation. There he was pursuing industry focused research and development in the area of Semantic Data Management focusing on solutions for interoperable Internet of Things and distributed data analytics.
Open Source Middleware Blueprint for Internet of Things
4.182M euro with EU funding of 2.455M euro
OpenIoT is a collaborative European union funded project (FP7) in which CSIRO is one of the partners.
Research Problem: OpenIoT addresses the challenges in building an open source middleware for Internet of Things that enables semantic interoperability of IoT silos via sensor discovery, and Do-It-Yourself principles. The OpenIoT project is available via GitHub and is currently being trialled by 30+ users across education, research and SMEs.
SensMA – Sensor Middleware Architecture
SensMA is a related project to OpenIoT and aims to develop a common working architecture for CSIRO domain projects built on sensor networks.
Research Problem: Methods for efficient and effective processing of sensor stream data using distributed data analytics approach (e.g. outliners, pre-filters based on domain models) i.e. load balancing between edge nodes (mobile devices) and cloud infrastructure.
Prior to this, he was a Research Fellow at Monash University where he worked closely with industry partners to develop system prototypes on mobile platforms.
Context-aware emergency management and decision making in Mass Gatherings
Research Problem: Using an ontology driven methodology to assist first aiders to share knowledge across information systems during mass gatherings. The project developed a Triage system that could be used on tablets and mobile smart phones assisting first aiders to quickly perform triage under disaster situations. The Triage system was trialled by Victorian Ambulance services
- Wang, M.,Perera, C.,Jayaraman, P.,Zhang, M.,Strazdins, P.,Ranjan, R. (2016). City data fusion: Sensor data fusion in the internet of things In: International Journal of Distributed Systems and Technologies, 7, 15 - 36
- Wu, X.,Gu, Y.,Tao, J.,Li, G.,Jayaraman, P.,Sun, D.,Ranjan, R.,Zomaya, A.,Han, J. (2016). An online greedy allocation of VMs with non-increasing reservations in clouds In: Journal of Supercomputing, 72, 371 - 390
- Jayaraman, P.,Palmer, D.,Zaslavsky, A.,Salehi, A.,Georgakopoulos, D. (2015). Addressing information processing needs of digital agriculture with OpenIoT platform In: Proceedings of the International Workshop, FP7 OpenIoT Project, Held in Conjunction with SoftCOM 2014, Split, Croatia, 18 September 2014
- Soldatos, J.,Kefalakis, N.,Hauswirth, M.,Serrano, M.,Calbimonte, J.,Riahi, M.,Aberer, K.,Jayaraman, P.,Zaslavsky, A.,Zarko, I.,Skorin-Kapov, L.,Herzog, R. (2015). OpenIoT: open source internet-of-things in the cloud In: Proceedings of the International Workshop, FP7 OpenIoT Project, Held in Conjunction with SoftCOM 2014, Split, Croatia, 18 September 2014
- Jayaraman, P.,Palmer, D.,Zaslavsky, A.,Georgakopoulos, D. (2015). Do-it-yourself digital agriculture applications with semantically enhanced IoT platform In: Proceedings of the 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, 7 - 9 April 2015
- Alhamazani, K.,Ranjan, R.,Mitra, K.,Rabhi, F.,Jayaraman, P.,Khan, S.,Guabtni, A.,Bhatnagar, V. (2015). An overview of the commercial cloud monitoring tools: Research dimensions, design issues, and state-of-the-art In: Computing, 97, 357 - 377
- Serrano, M.,Quoc, H.,Phuoc, D.,Hauswirth, M.,Soldatos, J.,Kefalakis, N.,Jayaraman, P.,Zaslavsky, A. (2015). Defining the stack for service delivery models and interoperability in the internet of things: A practical case with OpenIoT-VDK In: IEEE Journal on Selected Areas in Communications, 33, 676 - 689
- Wang, M.,Jayaraman, P.,Ranjan, R.,Mitra, K.,Zhang, M.,Li, E.,Khan, S.,Pathan, M.,Georgakopoulos, D. (2015). An overview of cloud based content delivery networks: Research dimensions and state-of-the-art In: Transactions on Large-Scale Data- and Knowledge-Centered Systems XX: Special Issue on Advanced Techniques for Big Data Management, Springer, Berlin, Heidelberg
- Alhamazani, K.,Ranjan, R.,Jayaraman, P.,Mitra, K.,Liu, C.,Rabhi, F.,Georgakopoulos, D.,Wang, L. (2015). (In Press) Cross-layer multi-cloud real-time application QoS monitoring and benchmarking as-a-service framework In: Transactions on Cloud Computing, ,
- Jayaraman, P.,Gomes, J.,Nguyen, H.,Abdallah, Z.,Krishnaswamy, S.,Zaslavsky, A. (2015). Scalable energy-efficient distributed data analytics for crowdsensing applications in mobile environments In: IEEE Transactions on Computational Social Systems, 2, 109 - 123