Dimitrios Zaikis, PhD
School of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki – Greece

Tel: +30 2310 998402
E-mail:  dimitriz@csd.auth.gr
GitHub: https://github.com/d1mitriz

Short CV

Dimitrios Zaikis was born in Munich, Germany in 1985. He obtained his bachelor’s degree (B.Sc.) in Informatics from the School of Informatics, Aristotle University of Thessaloniki (AUTh) in 2018, his master’s degree (M.Sc.) in Data and Web Science for the same school in 2020, and completed his PhD in 2023 at the School of Informatics, AUTh. The subject of his master’s thesis was Knowledge Discovery from Medical Literature, and his doctoral thesis was Improving Language Model Representations for Biomedical Relation Extraction and Low-Resource Languages. His initial research focused on the Extraction and Classification of Drug-Drug Interactions from medical literature, with three publications and two submitted for peer review relating to this topic (main author). Currently, his research focuses on Media Analysis and Document Intelligence in the Greek language, with one journal and two conference papers submitted for peer review (main author). He actively participated in many National Strategic Reference Framework (NSRF) funded projects where he works on the application of innovative technologies, using machine learning on biological data, natural language and time-series forecasting. In 2022, he was awarded with a scholarship from the State Scholarships Foundation (IKY) for his doctoral research with a 16 months duration. His main research interests include information retrieval, natural language processing, representation learning, entity relation extraction, knowledge discovery from biomedical literature and knowledge graphs.

Full CV available here [English, Greek].

Publications

Journals:

• D. Zaikis, I. Vlahavas, “TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions”, Artificial Intelligence in Medicine, Volume 119, Article 102153, 2021, DOI:https://doi.org/10.1016/j.artmed.2021.102153. Share Link: https://authors.elsevier.com/a/1de0D3KEGaFktz (Free Access until October 14, 2021) [Abstract]
• D. Zaikis, C. Karalka, I. Vlahavas, “A Message Passing Approach to Biomedical Relation Classification for Drug–Drug Interactions”, Special Issue: Federated and Transfer Learning Applications, Applied Sciences, Applied Sciences, Volume 12(21), Article 10987, 2022, DOI: https://doi.org/10.3390/app122110987 [Abstract]
• D. Zaikis, N. Stylianou, I. Vlahavas, “PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language”), Special Issue: New Techniques of Machine Learning and Deep Learning in Text Classification, Applied Sciences, 2023, Accepted [Abstract]
• D. Zaikis, I. Vlahavas, “TransformDDI: The Transformer-based Joint Multi-task Model for End-to-End Drug-Drug Interaction”, Intelligent Systems with Applications, 2022, Submitted, First revision under review
• S. Mischos, N. Virtsionis, Manolopoulou A., E. Dalagdi, D. Zaikis, A. Lazaridis, D. Vlachava, K. Lagouvardos, D. Vrakas, “Electric Energy Consumption in Greece: A Dataset Based on Socio-economic Features”, Data In Brief, Submitted, Under Review

Conferences:

• D. Zaikis and I. Vlahavas, “Drug-Drug Interaction Classification Using Attention Based Neural Networks”, In Proceedings of the 11th Hellenic Conference on Artificial Intelligence (SETN ’20), Athens, Greece, 2-4 Sep 2020, pp. 34–40, Association for Computing Machinery, DOI:https://doi.org/10.1145/3411408.3411461 [Abstract]
• D. Zaikis, S. Kokkas, I. Vlahavas, “Transforming Drug-Drug Interaction Extraction from Biomedical Literature”, In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN ’22), Corfu, Greece, 7-9 Sep 2022, Article 12, pp. 1–8, Association for Computing Machinery, 2022, DOI: https://doi.org/10.1145/3411408.3411461 [Abstract]
•  I. Pierros, E. Kouloumpris, D. Zaikis, I. Vlahavas, “Retail Demand Forecasting for 1 Million Products”, in 22nd International Conference on Intelligent Systems Design and Applications (ISDA2022), Held online, 12-14 Dec 2022 [Abstract]
• G. Aivatoglou, A. Fytili, G. Arampatzis, D. Zaikis, N. Stylianou, I. Vlahavas, “End-to-end Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages “, Intelligent Systems Conference 2023, Amsterdam, The Netherland, 7-8 Sep 2023, Accepted, DOI: TBA, (to be presented) [Abstract]
• + 2 submitted

Full list of publications: Google Scholar