Dr Gowri Ramachandran

Faculty of Science,
School of Computer Science
Biography
Gowri is a research fellow in distributed systems, IoT, and blockchain at Trusted Networks Lab, School of Computer Science, Queensland University of Technology (QUT) under the mentorship of Prof. Raja Jurdak. Prior to joining QUT, he was a postdoctoral researcher at Viterbi School of Engineering, University of Southern California (USC), where he was associated with Autonomous Networks Research Group (ANRG) and Center for Cyber-Physical System and the Internet-of-Things (CCI) under the mentorship of Prof. Bhaskar Krishnamachari. Gowri's research interests are around resource management, data marketplaces, distributed data and payment management systems, edge computing, blockchain, and systems for Internet-of-Things and Smart Cities, with a focus on problems related to performance, self-adaptation, trust, and scalability. He has received best papers awards as an author or co-author at the following venues:- Best Student Paper Award as a co-author at Fifth IEEE International Conference on Multimedia Big Data (BigMM) for A Crowd-Based Image Learning Framework Using Edge Computing for Smart City, September 2019.
- Best Paper Award as a co-author at 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous) for Selective jamming of LoRaWAN using commodity hardware, November 2017.
- Best Paper Award as a co-author at First International EAI Conference on Emerging Technologies for Developing Countries (AFRICATEK) for Developing the IoT to support the health sector: a case study from Kikwit, DR Congo, March 2017.
- Best Paper Award as the first author at 19th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE) for Building dynamic and dependable Internet-of-Things applications with Dawn, April 2016.
- First Prize (out of over 400 participants from 4 continents) at GRMDS Challenge, for creating data-driven risk modeling and prediction to study the spread of CoVID-19 in Los Angeles, June 2020. Our proposed risk-score model was adopted by the City of Los Angeles to convey the CoVID-19 spread levels to the community members: https://www.latimes.com/california/story/2020-07-02/la-unveils-color-coded-system-to-assess-coronavirus-risk. And, a live risk map of LA can be accessed here: https://grmds.org/risk/.
- Second Prize (out of over 150 participants) at AutoMobility Los Angeles Hackathon for Building Incentive-driven Eco-friendly Vehicle Routing Framework, November 2019.
- Second Prize (out of over 100 participants) at ChainPort's Supply Chain Hackathon at Los Angeles in October 2018, for applying Trinity, which is a distributed and blockchain-based data-sharing framework to interconnect shipping ports.
- Second Prize (out of over 200 participants) in LoRa Alliance Global IoT Challenge for developing and deploying a smart medical fridge for preserving blood and vaccine supplies, February 2017.
- Honorary Certificate of Appreciation from IEEE Communications Society for LoRa Congo: low power, long-range monitoring technology for development projects in Congo, December 2016.
Personal details
Positions
- Research Fellow in Distributed Systems, Blockchain and Internet of Things
Faculty of Science,
School of Computer Science
Keywords
Data Sharing in Multi-stakeholder Environment, Blockchain-based Decentralization for IoT and Smart Cities, Data Marketplace for Smart Cities, Distributed and Trusted Computing for IoT and Smart Cities, Resource management, scalability, and trust for IoT, Publish-subscribe middleware, Middleware
Discipline
Distributed Computing, Information Systems, Other Information and Computing Sciences
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PHD in Computer Science with focus on the Internet of Things (Katholieke Universiteit Te Leuven)
Professional memberships and associations
Teaching
- IFN712 Research in IT Practice: This unit takes a practice-based approach to understand what research is, how to perform research and why it is important.
- 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, Internet-of-Things (IoT), as well the security, trust, and privacy considerations in these networks.
- IFN711 Industry Project: This unit teaches graduate students in Masters in IT to conduct a well-defined project with specific outcomes. I contribute to this unit by proposing and supervising research projects.
- EGH400-1 and EGH400-2: This unit let students identify engineering challenges and carry out comprehensive, independent projects to address them using a rigorous research and investigation framework. I contribute to this unit by proposing and supervising research projects.
Selected publications
- Yang F, Thangarajan A, Ramachandran G, Joosen W, Hughes D, (2022) AsTAR: Sustainable Energy Harvesting for the Internet of Things through Adaptive Task Scheduling, ACM Transactions on Sensor Networks, 18 (1).
- Ueyama J, Garcia R, Ramachandran G, (2022) Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system, Computer Networks, 211.
- Krishnamachari B, Avyukt A, Ramachandran G, (2021) A Decentralized Review System for Data Marketplaces, Proceedings of the 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
- Hekmati A, Ramachandran G, Krishnamachari B, (2021) CONTAIN: Privacy-oriented Contact Tracing Protocols for Epidemics, Proceedings of the 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 872-877.
- Ramachandran G, Nemeth D, Neville D, Zhelezov D, Yalcin A, Fohrmann O, Krishnamachari B, (2020) WhistleBlower: Towards A Decentralized and Open Platform for Spotting Fake News, Proceedings of the 2020 IEEE International Conference on Blockchain (Blockchain), pp. 154-161.
- Ramachandran G, Contreras S, Krishnamachari B, (2019) Publish-pay-subscribe protocol for payment-driven edge computing, Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019, co-located with USENIX ATC 20192019.
- Ramachandran G, Wright K, Zheng L, Navaney P, Naveed M, Krishnamachari B, Dhaliwal J, (2019) Trinity: A byzantine fault-tolerant distributed publish-subscribe system with immutable blockchain-based persistence, Proceedings of the 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 227-235.
- Ramachandran G, Radhakrishnan R, Krishnamachari B, (2018) Towards a Decentralized Data Marketplace for Smart Cities, Proceedings of the 2018 IEEE International Smart Cities Conference (ISC2 2018).
- Aras E, Small N, Ramachandran G, Delbruel S, Joosen W, Hughes D, (2017) Selective jamming of LoRaWAN using commodity hardware, MobiQuitous 2017: Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 363-372.
- Ramachandran G, Matthys N, Daniels W, Joosen W, Hughes D, (2016) Building Dynamic and Dependable Component-Based Internet-of-Things Applications with Dawn, Proceedings of the 2016 19th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE 2016), pp. 97-106.
QUT ePrints
For more publications by Gowri, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2016
- Details
- Honorary Certificate of Appreciation from IEEE Communications Society for LoRa Congo: low power, long-range monitoring technology for development projects in Congo, December 2016.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2021
- Details
- Best Paper Award for "Building dynamic and dependable component-based internet-of-things applications with dawn.", Gowri Sankar Ramachandran, Nelson Matthys, Wilfried Daniels, Wouter Joosen, and Danny Hughes. In 2016 19th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE), pp. 97-106. IEEE, 2016.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Best Student Paper Award for "A Crowd-Based Image Learning Framework using Edge Computing for Smart City Applications," G. Constantinou, G. Sankar Ramachandran, A. Alfarrarjeh, S. H. Kim, B. Krishnamachari and C. Shahabi, 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 2019, pp. 11-20, doi: 10.1109/BigMM.2019.00-47.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2017
- Details
- Best Paper Award for "Developing the IoT to support the health sector: A case study from kikwit, DR congo.", Lawrence, Piers W., Trisha M. Phippard, Gowri Sankar Ramachandran, and Danny Hughes. In International Conference on Emerging Technologies for Developing Countries, pp. 45-56. Springer, Cham, 2017.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2017
- Details
- Best Paper Award for "Selective Jamming of LoRaWAN using Commodity Hardware", Emekcan Aras, Nicolas Small, Gowri Sankar Ramachandran, Stéphane Delbruel, Wouter Joosen, and Danny Hughes. 2017. . In Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017). Association for Computing Machinery, New York, NY, USA, 363¿372. DOI:https://doi.org/10.1145/3144457.3144478
Supervision
Current supervisions
- A Decentralised and Domain-specific Publish-Process-Subscribe Data Sharing Platform forSupply Chain Applications
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak - Towards Blockchain Storage Scheme Optimisation for Large-Scale IoT Networks
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak, Dr Ali Dorri - Secure and Efficient Cloud Storage Through Universal Data Deduplication
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak, Dr Shantanu Pal - Authenticity of Social Media Profile Based on Biological and Neuropsychological Features
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak