Dorina Thanou

Dorina Thanou is a senior researcher and lecturer at École Polytechnique Fédérale de Lausanne (EPFL), leading strategic research initiatives on AI for Health and Science under the EPFL AI Center. Her work spans graph signal processing, machine learning, and AI for biomedical applications. She holds affiliations with multiple EPFL units, including the Signal Processing Laboratory 4 (STI IEM LTS4), the Chair of Mathematical Data Science (SB MATH MDS1), and the AI Center (VPA-AVP-CP AICENTER).

Education:

• Diploma in Electrical and Computer Engineering (2008), University of Patras, Greece
• M.Sc. in Communication Systems (2010), EPFL
• Ph.D. in Electrical Engineering (2016), EPFL

Her research focuses on interpretable and robust machine learning models for biomedicine, leveraging graph-based signal processing to analyze complex data in healthcare. Her publication trends emphasize graph representation learning, dynamic 3D data compression, and biomedical applications, particularly in cardiology and neuropathology.

Scientific Awards:

• ELLIS Scholar in Geometric Deep Learning (2021)
• Best Student Paper Award, IEEE ICASSP (2015)
• Top 10% Paper Award, IEEE ICIP (2015)
• Best Paper Award, Picture Coding Symposium (2016)
• IEEE Senior Member (2023)

She mentors PhD students Monteiro Lança Madeira Manuel and Ögüt Sevda and has led interdisciplinary collaborations through the Swiss Data Science Center (2016-2020) and Center for Intelligent Systems (2020-2024). Her labs include the Signal Processing Laboratory 4, Mathematical Data Science Lab, and the AI Center.