I am a postdoctoral researcher at CRitical AI and Crisis Interrogatives (CRAI-CIS) research group of Aalto University, Espoo, Finland.

My main research interest is Data Science for Social Good, with focus on Multilingual Information Retreival and Transfer Learning technique.

I received my doctoral degree in ICT at Web Science and Social Computing research group of Universitat Pompeu Fabra, Barcelona where I was advised by Prof. Carlos Castillo.

I received my Master’s Degree (with honors) in Computational linguistics from the National Research University Higher School of Economics under the supervision of Prof. Nikolay Karpov with a dissertation titled “Deep Semantics in Expert Finding Systems.” We proposed an LSI-based topic similarity search model for authors of academic publications.

Before starting my Ph.D., I worked in Havas Media Russia, Ailove and CMG.

Publications

• Fedor Vitiugin, Hemant Purohit (2024). Serviceability Model for Ranking Multilingual Social Media Requests. Proceedings of ICWSM.
• Hamada M. Zahera, Fedor Vitiugin, Mohamed Ahmed Sherif, Carlos Castillo, Axel-Cyrille Ngonga Ngomo (2023). Using Pre-Trained Language Models for Abstractive DBPEDIA Summarization: A Comparative Study. Knowledge Graphs: Semantics, Machine Learning, and Languages, pp. 19-37. IOS Press.
• Fedor Vitiugin, Carlos Castillo (2022). Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers. Proceedings of the 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain. [code]
• Lan Li, Aisha Aldosery, Fedor Vitiugin, Naomi Nathan, David Novillo-Ortiz, Carlos Castillo, Patty Kostkova (2021). The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter Discourse. Frontiers in Public Health, 1410. [code]
• Fedor Vitiugin, Giorgio Barnabo (2021). Emotion Detection for Spanish by Combining LASER Embeddings, Topic Information, and Offense Features. IberLEF. Málaga, Spain. [code]
• Fedor Vitiugin, Yasas Senarath, Hemant Purohit (2021). Efficient Detection of Multilingual Hate Speech by Using Interactive Attention Network with Minimal Human Feedback. 13th ACM Web Science Conference, Virtual Event, United Kingdom. [code]
• Fedor Vitiugin, Carlos Castillo (2019). Comparison of Social Media in English and Russian During Emergencies and Mass Convergence Events. ISCRAM. Valencia, Spain (WiPe).
• Nikolay Karpov, Julia Baranova, Fedor Vitiugin (2014). Single-sentence readability prediction in Russian. In International Conference on Analysis of Images, Social Networks and Texts (pp. 91-100). Springer, Cham.