Hercules Dalianis

Hercules Dalianis is a Professor at the Department of Computer and Systems Sciences, Stockholm University. His research focuses on Natural Language Processing, particularly in clinical text mining for Swedish language data. He leads the Natural Language Processing Research Group and serves as director of the Health Bank - Swedish Health Record Research Bank infrastructure.

• MSc in Electrical Engineering (1984), KTH
• PhD in Technology (1996), KTH
• Professor of Computer and Systems Science (2011), Stockholm University

His research addresses privacy-preserving NLP for clinical text analysis, including automated de-identification, domain adaptation of BERT models, and clinical entity recognition. Current projects like DataLEASH and Privacy-Preserving Techniques explore machine learning solutions that balance data utility with patient confidentiality.

Key publication trends show emphasis on Swedish clinical text processing, ICD-10 coding automation, and privacy-aware language modeling. Collaborations span Karolinska University Hospital, Nordic healthcare institutions, and international AI research communities.

He teaches courses in Internet Search Techniques and Business Intelligence (ISBI), Natural Language Processing (NLP), and Principles and Foundations of Artificial Intelligence (PFAI). His work has produced the open-access textbook Clinical Text Mining: Secondary Use of Electronic Patient Records, establishing foundational frameworks for clinical NLP in low-resource languages.