About Me
I am a PhD researcher and software engineer working at the intersection of semantic web technologies and distributed systems. My research focuses on building scalable, interoperable systems using knowledge graphs and linked data principles.
Research Focus
My doctoral research investigates how you can make stream processing on decentralized data stores scalable. I am particularly interested in decentralized/distributed environments with RDF stream processing, and evolution of the Knowledge Graph over time.
Currently, I am working on combining historical stream processing with live stream processing for comparison with baseline, with applications in healthcare.
Research Interests
Education
PhD in Computer Science Engineering
2022 - PresentGhent University
Decentralized Scalable Stream Processing with Data Stores
Master's in Computer Science
2020 - 2022University of Lyon
Cyber-Physical Social Systems with a Thesis on the Disability Wikibase
Bachelor's of Technology in Computer Science Engineering
2016 - 2020SRM Institute of Science and Technology
Various subjects relted to the bachelor's with the thesis on big data processing.
Approach & Philosophy
I believe in building practical solutions grounded in solid theoretical foundations. My work bridges academic research and real-world software engineering, focusing on systems that are not only theoretically sound but also deployable and maintainable.
I am committed to open science and open source development, contributing to the broader research community through publications, open-source tools, and collaboration.
Collaboration & Contact
I am always interested in discussing research collaborations, speaking opportunities, or consulting on projects related to semantic web, knowledge graphs, and distributed systems.