Omnia Zayed is a Postdoctoral Researcher and an Adjunct Lecturer at the Unit of Natural Language Processing (UNLP) at the Data Science Institute(DSI), University of Galway, Ireland. Her research focuses on semantic analysis and information extraction. During her PhD, Omnia studied metaphor processing in social media contexts with the aim of improving healthcare communication and language learning. Currently, Omnia is focusing on social media analysis in the context of pandemic communication and beyond. She is contributing to the EU-funded project, PANDEM-2, on pandemic preparedness and response. She also contributed to the Patient-Centred Service Improvement (PaCSI) project in partnership with the Health Information and Quality Authority (HIQA).
Prior to joining DSI, she joined various research centres in Germany such as Sony Stuttgart Technology Center, IBM Boeblingen R&D Lab, and the UKP Lab at the Technische Universität Darmstadt. During this time, she worked on different projects related to information extraction, sentiment analysis in social media, big data preparation and QA summarization.
Omnia obtained her PhD in Science and Engineering from the University of Galway in June 2021. She holds an MSc in Information Technology from Nile University, Egypt (2015) and a BSc in Biomedical Engineering from Cairo University, Egypt (2010). She is passionate about the intersection of language, cognition and psychology.
Research Interests: Semantic analysis, figurative language processing, social media analysis, datasets creation, and information extraction.
– EU-Funded H2020 PANDEM-2 Pandemic Preparedness and Response
– Patient-Centred Service Improvement (PaCSI) project