ABOUT
Assistant Professor, Department of Computer Science and Biomedical Informatics, University of Thessaly. Papassiopoulou 2-4, GR-35100, Lamia, Greece. Email: stasoulis (at) uth (dot) gr
Until September 2017 I have been a Lecturer (Assistant Professor) in Applied Mathematics at the School of Computer Science and Mathematics, Liverpool John Moores University, UK.
Until September 2015 I have been a Post Doctoral Researcher at the Department of Computer Science, University of Helsinki, Finland.
I obtained my PhD in 2013 from University of Thessaly, Greece. Before this, I studied Mathematics and got my MSc in Mathematics of Computation and Decision Making at the University of Patras, Greece.
Since 2017 I work closely with Signal Ocean, as a Data Science consultant.
News and Upcoming events:
Attended WCCI 2022 in Padova, Italy, where I presented our paper entitled “Deep Hybrid Learning for anomaly Detection in biomedical Monitoring”
Starting March 2022, I will lead as a PI the project “Development of a bronchoscopic biopsies-on-chip (BioOnChip) platform for immunotherapy drug screening in non-small cell lung cancer.” funded by the Operational Program “Competitiveness, Entrepreneurship and Innovation” (EPAnEK), NSRF .
Supervision:
I supervise the following PhD students:
Panagiotis Anagnostou: “Design and Implementation of User Interface for Machine Learning algorithms in Bio-medicine”
Petros Mparmpas: “Machine Learning Algorithms and Applications”
Athanasios Siouras : “Deep Learning Applications in Medical Image Analysis for Anterior cruciate ligament (ACL) graft dimensions’ prediction and knee abnormalities”
Currently Teaching:
Department of Computer Science and Biomedical Informatics, University of Thessaly.
(Winter Semester) Introduction to Programming (C)
(Summer Semester) Deep Learning
(Summer Semester) Data Mining in Big Data
Master of Science, Computer Science and Computational Bio-medicine, University of Thessaly.
(Winter Semester) Data Mining in Biomedical Applications
(Summer Semester) Subjects of Programming (Python)
Scientific Interests
-Clustering -Machine Learning -Large scale Data Mining -Big Data applications
"Imagination is more important than knowledge."
Albert Einstein