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 since 2019, he is a PhD student at the School of Informatics, AUTh. The subject of his master’s thesis was Knowledge Discovery from Medical Literature and his doctoral thesis is Knowledge Discovery from Databases. Currently, his research focuses on the Extraction and Classification of Drug Interactions from medical literature and is submitting his first paper. In 2019, he received a scholarship from the School of Veterinary Medicine, AUTh to work on a National Strategic Reference Framework (NSRF) funded project where he works on the application of innovative technologies, using machine learning on biological data. His research interests include information retrieval, natural language processing, entity relation extraction and knowledge discovery from biomedical literature.
Full CV available here [English, Greek].
- Drug-Drug Interaction Classification Using Attention Based Neural Networks, Dimitrios Zaikis and Ioannis Vlahavas, 2020, In 11th Hellenic Conference on Artificial Intelligence (SETN 2020), Association for Computing Machinery, New York, NY, USA, 34–40. DOI:https://doi.org/10.1145/3411408.3411461 [Abstract]
- TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions, Dimitrios Zaikis and Ioannis Vlahavas, 2021, Artificial Intelligence in Medicine, Volume 119, 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]