Summary
Ovidiu Șerban (ʃerban) is a Research Fellow at the Data Science Institute (DSI), Imperial College London. His current work includes real-time Natural Language Processing, Data Curation and Large Scale Visualisation Systems.
Ovidiu’s research topics are Natural Language Processing, Machine Learning, Affective Computing and Interactive System Design. He holds a joint PhD from INSA de Rouen Normandy (France) and “Babeș-Bolyai” University (Romania), while working at LITIS Laboratory in France.
In his youth, Ovidiu worked at the Institute for Security Science and Technology (ISST), Imperial College London; Computer Lab, University of Cambridge, UK and ISR Laboratory, University of Reading, UK.
Publications
Journals
Ong C, Sun J, Serban O, et al., 2023, TKGQA Dataset: Using Question Answering to Guide and Validate the Evolution of Temporal Knowledge Graph, Mdpi: Data Journal, ISSN:2306-5729
Zhang W, Serban O, Sun J, et al., 2023, IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning, Machine Learning and Knowledge Extraction, Vol:5, ISSN:2504-4990, Pages:43-58
Hilman D, Serban O, 2022, A unified Link Prediction architecture applied on a novel heterogenous Knowledge Base, Knowledge-based Systems, Vol:241, ISSN:0950-7051, Pages:1-17
Vaghela U, Rabinowicz S, Bratsos P, et al., 2021, Using a secure, continually updating, web source processing pipeline to support the real-time data synthesis and analysis of scientific literature: development and validation study, Journal of Medical Internet Research, Vol:23, ISSN:1438-8871, Pages:1-14
Fernando S, Amador Díaz López J, Şerban O, et al., 2020, Towards a large-scale twitter observatory for political events, Future Generation Computer Systems, Vol:110, ISSN:0167-739X, Pages:976-983