Publications by year
Doctor of Engineering Science (PhD) in Computer Science (Katholieke Universiteit Te Leuven)
Gowri is a senior lecturer at the School of Information Systems. He began his career at QUT as a research fellow in the 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 cybersecurity, service computing, IoT, and distributed systems, with a focus on problems related to performance, automation, 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 the 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.
He has over eight years of experience in the IoT with strong expertise in the deployment and management of IoT applications. Gowri also specialises in low-power wireless communication and was involved in the deployment of IoT applications and testbeds using technologies such as LoRa, IEEE-802.15.4e, and WiFi. Gowri's Ph.D. dissertation focused on cross-layer optimization of dynamic IoT applications, in which he presented self-configuring middleware solutions for increasing energy efficiency while minimizing the management complexity. Besides, he has also deployed testbeds to foster research in the application and network layers of the IoT stack. Lately, Gowri is exploring blockchain technology and its application in IoT and data marketplaces. He has developed decentralized architectures using blockchain for data sharing and monetization. In 2017, Gowri and his team received the second prize in the LoRa Alliance Global IoT Challenge for their deployment of smart medical fridges in Kikwit, DR Congo. His team developed a smart medical fridge to continuously monitor and preserve critical medical supplies such as blood and vaccines. More information can be found here. Gowri's work received several awards at events, some of which are listed below:
- 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 in 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.
Gowri Sankar Ramachandran received his PhD from imec-DistriNet , KU Leuven, Belgium, under the guidance of Prof. Danny Hughes. He completed his M.Sc in Intelligent Embedded Systems from Malardalen University, Sweden. During his M.Sc, Gowri visited the Technical University of Eindhoven, The Netherlands as an Erasmus scholar, where he worked under the supervision of Prof. Reinder Bril and Prof. Johan Lukkien. Gowri completed his B.Tech in Electronics and Communication Engineering from SASTRA University, India.
Publications: Google Scholar
Additional information
- 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
- Ramachandran, G., Tran, T. & Jurdak, R. (2023). DeWS: Decentralized and Byzantine Fault-tolerant Web Services. Proceedings of the 5th IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1–9. https://eprints.qut.edu.au/238285
- Ramachandran, G., McDonald, L. & Jurdak, R. (2023). FUSE: Fault Diagnosis and Suppression with eBPF for Microservices. Service-Oriented Computing: 21st International Conference, ICSOC 2023, Rome, Italy, November 28 – December 1, 2023, Proceedings, Part I. https://eprints.qut.edu.au/243145
- Heo, J., Ramachandran, G. & Jurdak, R. (2023). PPoS: Practical Proof of Storage for Blockchain Full Nodes. Proceedings of the 5th IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1–9. https://eprints.qut.edu.au/238319
- Ramachandran, G., Malik, S., Pal, S., Dorri, A., Dedeoglu, V., Kanhere, S. & Jurdak, R. (2022). Blockchain in Supply Chain: Opportunities and Design Considerations. In DA. Tran, MT. Thai & B. Krishnamachari (Eds.), Handbook on Blockchain (pp. 541–576). Springer. https://eprints.qut.edu.au/236212
- 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). https://eprints.qut.edu.au/226034
- Heo, J., Ramachandran, G., Dorri, A. & Jurdak, R. (2022). Blockchain Storage Optimisation with Multi-Level Distributed Caching. IEEE Transactions on Network and Service Management, 19(4), 3724–3736. https://eprints.qut.edu.au/236441
- Garcia, R., Ramachandran, G., Jurdak, R. & Ueyama, J. (2022). Blockchain-aided and Privacy-preserving Data Governance in Multi-stakeholder Applications. IEEE Transactions on Network and Service Management, 19(4), 3781–3793. https://eprints.qut.edu.au/235902
- Garcia, R., Ramachandran, G. & Ueyama, J. (2022). Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system. Computer Networks, 211. https://eprints.qut.edu.au/230019
- Avyukt, A., Ramachandran, G. & Krishnamachari, B. (2021). A Decentralized Review System for Data Marketplaces. Proceedings of the 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). https://eprints.qut.edu.au/211465
- 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), 227–235. https://eprints.qut.edu.au/209247
- Secure and Efficient Backup Through Universal Data Deduplication
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak - A Decentralised Publish-Process-Subscribe Data Sharing Platform for Supply Chain Applications
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak - Post-Quantum Cryptography for Internet-of-Things 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 - Energy-aware Blockchain Mining and Optimisation
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak - Understanding and Mitigating Cyber-Security Risks of Electric Vehicle Charging
MPhil, Associate Supervisor
Other supervisors: Professor Raja Jurdak, Professor Mahinda Vilathgamuwa