PHAROS AI Factory announces the 8th Course of its Training Series, under the title "Generative Modeling in Medical Data", under the specialisation AI4Health, held online via Zoom.
Date: March 23rd, 2026, at 12:00 EET
Location: Online via Zoom
Presentation Language: Greek
Description: This course introduces key concepts and methodologies for working with healthcare and medical data and generating synthetic datasets for research and Machine Learning applications. It begins with an overview of healthcare data types and characteristics, including structured tabular data from electronic health records and medical imaging data such as MRIs and EEGs. The course presents traditional statistical approaches for synthetic data generation and data balancing, including techniques such as SMOTE, ADASYN, and other resampling methods commonly used to address class imbalance. It also covers modern Deep Learning approaches for Generative Modeling, including autoencoders and GANs for synthesizing realistic tabular and visual medical data. Finally, it discusses applications, benefits, and challenges of synthetic data in healthcare.
Audience: Students in Computer Science and Medical Sciences, Researchers.
Prerequisites: Degree/Diploma in Computer Science or Medical Sciences.
Learning Objectives: Gain a deeper understanding of synthetic data generation techniques applied in medical data.
Learning Outcomes:
- Analyze synthetic data generation techniques.
- Explore various data types utilized in healthcare.
- MRI processing and data generation techniques for medical and ML applications.
Instructors' profiles:
- Ioannis Vlahavas, Professor at School of Informatics, AUTH
Ioannis Vlahavas is a professor at the Department of Informatics at the Aristotle University of Thessaloniki. He received his Ph.D. degree in Logic Programming Systems from the same University in 1988. He has been a visiting scholar at the Department of CS at Purdue University and in 2017 elected EurAI Fellow from the European Association for Artificial Intelligence. He specializes in knowledge based and AI (machine learning) systems and he has published more than 400 papers and book chapters and co-authored 9 books in these areas. Google scholar gives a number exceeding 21600 citations and an h-index of 60. He has successfully supervised 19 PhD students, and he has been involved in more than 50 research and development projects, leading most of them. He was Chairman of the school of Informatics at the Aristotle University (2013-2017), member of the steering committee and Dean of the School of Science and Technology of the International Hellenic University (2007-2016) and member of the Sectoral Scientific Council in Artificial Intelligence (2025-today). He is currently leading the Intelligent Systems Lab.
Details in https://intelligence.csd.auth.gr/people/vlahavas/
Linkedin: https://www.linkedin.com/in/ioannis-vlahavas/
- Vasileios Kochliaridis, PhD. at School of Informatics, AUTH
Vasileios Kochliaridis graduated with a degree in Computer Engineering and Information Technology from the University of Ioannina, and since 2021 has been a member of the Intelligent Systems Lab (ISL) and a Ph.D. candidate in the field of Artificial Intelligence under the supervision of Professor Vlachava. The focus of his doctoral research is the development of intelligent agents for autonomous systems, with a particular emphasis on financial data, as well as on autonomous and intelligent systems. During his doctoral studies, he has gained both technological and academic experience through research projects and publications. In the technological field, he has successfully contributed in the role of data scientist and deep learning researcher. Since 2022, he has been the lead researcher in the development of a tool for time series forecasting and the generation of synthetic data for financial metrics, as well as urban environment data and images, using GAN networks to train agents for the navigation of autonomous vehicles within a simulation.
More information on his page: https://intelligence.csd.auth.gr/vasileios-kochliaridis-phd-student/
- Zoi Katsantoni (MSc)
Zoi Katsantoni is a dedicated Machine Learning Engineer specializing in Deep Learning and Synthetic Data Generation. She holds an M.Sc. in Data and Web Science and a B.Sc. in Computer Science from the Aristotle University of Thessaloniki, maintaining an exceptional academic record throughout her studies. Her applied research expertise strongly focuses on healthcare diagnostics, she has developed advanced GANs and Diffusion Models to synthesize realistic MRI scans, as well as NLP models for the early detection of dementia through speech. Zoi is highly proficient in Python and utilizes leading ML frameworks such as PyTorch, TensorFlow, Keras, and Scikit-learn to deliver high-performing predictive models. Her comprehensive skill set also spans Natural Language Processing, Time Series Analysis, and SQL. A trilingual professional, she is a native Greek speaker with fluency in English (C2) and proficiency in German (B2).
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