
PHD in Computer Science with focus on the Internet of Things (Katholieke Universiteit Te Leuven)
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 over eight years of experience in the IoT with strong expertise in the deployment and management of IoT applications. Gowri is also specialized 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.
In 2017, Gowri and his team had received the second prize in the LoRa Alliance Global IoT Challenge for their deployment of smart medical fridges in Kikwit, DR Congo. Our team had developed a smart medical fridge to continuously monitor and preserve critical medical supplies such as blood and vaccine. More information can be found here.
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.
Gowri Sankar Ramachandran received his Ph.D. 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
- 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) p154-161
- 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) p227-235
- Constantinou G, Sankar Ramachandran G, Alfarrarjeh A, Kim S, Krishnamachari B, Shahabi C, (2019) A crowd-based image learning framework using edge computing for smart city applications, Proceedings of the 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM 2019) p11-20
- Balachandran C, Puneet A, Ramachandran G, Krishnamachari B, (2020) EDISON: A Blockchain-based Secure and Auditable Orchestration Framework for Multi-domain Software Defined Networks, Proceedings of the 2020 IEEE International Conference on Blockchain (Blockchain 2020) p144-153
- 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, 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 p363-372
- 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) p97-106