Research Focus

The figure below highlights my recent research, which centres on leveraging technologies such as blockchain, identity and access control, and AI and machine learning to address challenges in data sharing, privacy, commercial-confidentiality, compliance, and smart contract engineering. I apply these approaches across domains including supply chains, digital/decentralised finance, ESG, and responsible AI. More recently, I have been expanding into emerging areas—such as agent identity and retrieval-augmented generation (RAG) for large language models, fully homomorphic encryption (FHE), zero-knowledge proofs (ZKP), secure multi-party computation (MPC), verifiable credentials (VCs), and decentralised identifiers (DIDs), with a strong focus on enhancing trust in software systems.

The diagram below summarises my research trajectory up to 2018, which focused on large-scale data generation, transmission, and processing. My work spanned data engineering, IoT, cloud and distributed computing, complex event processing, and data integration. Earlier, as a graduate researcher, I worked on peer-to-peer (P2P) systems, content discovery, sensor networks, virtual sensing, and secure communications.

Across these areas, my research has been grounded in understanding real-world systems (resources, applications, and user behaviour) and translating those insights into solutions that are efficient, scalable, secure, and practically deployable. I have particularly focused on interdisciplinary applications in domains such as weather forecasting, fleet management, and smart cities.

Selected Projects

Digital Money in Wholesale Tokenised Asset Markets · Digital Finance CRC (DFCRC)
Investigating the technical requirements and settlement protocols for issuing and using digital money in wholesale tokenised asset markets (Project Acacia).

Blockchain-Based Supply Chain Traceability
Designing smart contract architectures and data models for end-to-end product traceability across complex multi-party supply chains, with applications in food safety and trade finance.

Blockchain Data Management and Migration
Developing software patterns and techniques for migrating data between blockchain platforms and replicating distributed database guarantees within blockchain systems.

Vehicular Data Analytics · Nimbus Ventures (Pvt) Ltd., Ace Vehicle Deliveries Ltd.
Building a cloud-based platform for real-time vehicle sensor data collection, analysis, and driver feedback to support fleet monitoring, fuel optimisation, and driver scheduling.

Complex Event Processing · University of Moratuwa
Accelerating stream-processing engines via GPU parallelism and developing automated query generation techniques for real-time monitoring across IoT, weather, and fleet management domains.

Cloud Computing · University of Moratuwa
Developing performance, resource, and workload-aware VM scheduling and PaaS auto-scaling solutions for IaaS/PaaS clouds, including PaaS aggregation across multi-cloud libraries.

Container-Based Workflows for Weather and Flood Monitoring · World Bank, Ministry of Megapolis and Western Development (Sri Lanka)
Designing containerised data integration and assimilation pipelines for real-time weather monitoring and flood forecasting in the Metro Colombo region.

Collaborative Peer-to-Peer Systems · Colorado State University (CNRL), CASA
Designing multi-attribute resource discovery and P2P collaboration protocols for distributed data fusion in sensor networks, weather radar systems, and community clouds.