DrKonstantinos Patlatzoglou
Research Associate
National Heart & Lung Institute - Faculty of Medicine
Orcid identifier0000-0002-5888-8490 (opens in a new tab)
- Research AssociateNational Heart & Lung Institute - Faculty of Medicine
- ICTEM building, Hammersmith Campus, United Kingdom
BIO
Dr. Patlatzoglou is a research associate at the National Heart and Lung Institute of Imperial College London, specializing in the intersection of cardiac electrophysiology and computer science. His research interests and experience span across the areas of artificial intelligence, signal processing, and biomedical engineering, with a latest focus on representation learning and explainable AI. Dr. Patlatzoglou is currently working on the development of deep learning-based electrocardiogram (AI-ECG) models for the diagnosis and prognosis of cardiac and non-cardiac conditions, primarily aiming at the creation of automated systems that exhibit transparency, interpretability, and trustworthiness, for clinical practice.
Dr. Patlatzoglou studied computer science at Aristotle University of Thessaloniki (AUTH) in Greece, where he was awarded a First Class (Honours) B.Sc. in Informatics. He obtained a M.Sc. in Sound and Music Computing from Universitat Pompeu Fabra (UPF) in Barcelona, Spain, where he conducted research on machine learning and neurophysiological signal analysis on the topics of music and neuroscience. Finally, he was awarded a Ph.D. from the University of Kent in the UK, for his work on deep learning-based electrophysiological investigation and estimation of anesthetic-induced unconsciousness.
Dr. Patlatzoglou studied computer science at Aristotle University of Thessaloniki (AUTH) in Greece, where he was awarded a First Class (Honours) B.Sc. in Informatics. He obtained a M.Sc. in Sound and Music Computing from Universitat Pompeu Fabra (UPF) in Barcelona, Spain, where he conducted research on machine learning and neurophysiological signal analysis on the topics of music and neuroscience. Finally, he was awarded a Ph.D. from the University of Kent in the UK, for his work on deep learning-based electrophysiological investigation and estimation of anesthetic-induced unconsciousness.
DEGREES
- Ph.D. in Computer ScienceUniversity of Kent, Canterbury, United Kingdom
- M.Sc. in Sound and Music ComputingPompeu Fabra University, Barcelona, Spain
- B.Sc. in InformaticsAristotle University of Thessaloniki, Thessaloniki, Greece
FACULTY
- Faculty of Medicine
POSITION NAME
- Research Associate