Iraklis Varlamis, Professor

Basic Information

Short CV

Iraklis Varlamis is a Professor at the Department of Informatics and Telematics of HUA in the area of Data Management. He holds a Ph.D. from Athens University of Economics and Business, Greece, and an MSc in Information Systems Engineering from UMIST UK. His research interests range from data mining and social network analytics to recommender systems for social media and real-world applications. He has more than 250 articles published in international journals and conferences and more than 4700 citations on his work. He holds a patent from the Greek Patent Office for a system that thematically groups web documents using content and links. He is the scientific coordinator for HUA in several EU (H2020, ECSEL, REC) projects. He has a leading role in national projects in collaboration with researchers from other HUA departments and other universities.

Indicative Publications

1. Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos, "Enabling digital twins in the maritime sector through the lens of AI and industry 4.0", International Journal of Information Management Data Insights (2023), DOI: 10.1016/j.jjimei.2023.100178

2. S. Rizou, A. Theofilatos, A. Paflioti, E. Pissari, I. Varlamis, G. Sarigiannidis, K. Ch Chatzisavvas, "Efficient intent classification and entity recognition for university administrative services employing deep learning models", Intelligent Systems with Applications (2023), DOI: 10.1016/j.iswa.2023.200247

3. Iraklis Varlamis, Christos Sardianos, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, "Using big data and federated learning for generating energy efficiency recommendations", International Journal of Data Science and Analytics (2023), DOI: 10.1007/s41060-022-00331-2

4. Minas Pergantis, Iraklis Varlamis, Nikolaos Grigorios Kanellopoulos, Andreas Giannakoulopoulos, "Searching Online for Art and Culture: User Behavior Analysis", Future Internet (2023), DOI: 10.3390/fi15060211

5. Yassine Himeur, Somaya Al-Maadeed, Iraklis Varlamis, Noor Al-Maadeed, Khalid Abualsaud, Amr Mohamed, "Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic", Systems (2023), DOI: 10.3390/systems11020107