Computer Scientist -- Data Engineering & Science
Novo Nordisk, Denmark
Kashif is a data & software engineer with a doctorate in Computer Science and 6+ years of experience delivering high-impact, data-driven solutions across research and industry. His work spans scalable data platforms, distributed processing, and modern graph-based modeling.
Rabbani, Kashif; Lissandrini, Matteo; and Hose, Katja. "Transforming RDF Graphs to Property Graphs using Standardized Schemas." Companion of the 2024 International Conference on Management of Data (SIGMOD/PODS '25) 2, (4): (December, 2024): 1-25.
Rabbani, Kashif; Lissandrini, Matteo; and Hose, Katja. SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes. In Proceedings of the 2023 International Conference on Management of Data, (SIGMOD-Companion '23) June 18-23, 2023, Seattle, WA, USA.
Rabbani, Kashif; Lissandrini, Matteo; and Hose, Katja. Extraction of Validating Shapes from very large Knowledge Graphs In Proceedings of the Very Large Databases 2023 (Volume 16), August 28 - Sept 02, 2023, Vancouver, Canada.
Kashif's educational activities focus on supervising and assisting multiple groups of computer science and software engineering students at bachelor's level at Aalborg University.
Updated: July 2025