|Expertise||Artificial Intelligence, Machine Learning, Neural networks, Explainable Artificial intelligence|
Georgios Sofianidis is a research associate and PhD candidate at the University of Piraeus, Department of Digital Systems. He received his Degree from the School of Electrical and Computer Engineering of the National Tecnical University of Athens (N.T.U.A.) in 2019. His research interests are focused on Artificial Intelligence, Machine Learning, Neural Networks and Explainable Artificial Intelligence.
Personal Research Topics
Explainable Artificial Intelligence Algorithms
The dominance of “black-boxes” in artificial intelligence (AI) applications creates problems such as lack of trust by the end user and difficulties in debugging and monitoring the system. The research field of Explainable Artificial Intelligence (XAI) aims at giving insights and the causes of a particular decision made by a complex black-box model, making it opaque. Explainable Artificial Intelligence algorithms will be studied in machine learning (ML) and deep learning (DL) applications such as classification tasks.