Alexandros Tanzanakis

Dr. Alexandros Tanzanakis

PostDoc and Group Leader

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.024
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany

I am a Postdoctoral Researcher and Head of the Health Data Science Group at the Machine Learning and Data Analytics (MaD) Lab of FAU Erlangen-Nürnberg.

I hold a 5-year Diploma in Electrical and Computer Engineering with the highest honors from the Technical University of Crete, Greece and a Ph.D. in Information Technology and Electrical Engineering from ETH Zurich, Switzerland. For my Ph.D. at ETH Zurich, I have developed novel, theoretically rigorous, reinforcement learning algorithms for data-driven control of complex discrete-time nonlinear systems. In addition to critical theoretical advancements, highly important biomedical applications were considered towards the design of high-performance, clinically safe, fully-automated, personalized artificial pancreas systems for patients diagnosed with Type 1 and Type 2 Diabetes Mellitus.

My research interests include advanced topics in learning-based control theory, machine learning and predictive analytics, game theory and multiagent systems, as well as applications on personalized medicine with a strong focus on the design of highly scalable predictive models (e.g., virtual twins), intelligent clinical decision support systems and closed-loop therapeutical systems.

since 06/2024 PostDoc and Group Leader

Machine Learning and Data Analytics Lab,
Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

10/2023 Doctor of Sciences (Dr. sc.)
Department of Information Technology and Electrical Engineering (D-ITET), ETH Zurich, Switzerland
01/2018-

08/2023

Researcher & Doctoral Candidate

Automatic Control Laboratory, Department of Information Technology and Electrical Engineering (D-ITET), ETH Zurich, Switzerland

Doctoral Thesis Title: “Data-Driven Reinforcement Learning Control: Towards a Fully-Automated, Personalized Artificial Pancreas”

Thesis Supervisor: Prof. Dr. John Lygeros

09/2011-

09/2016

5-Year Diploma in Electrical and Computer Engineering (Dipl.-Ing.)

School of Electrical and Computer Engineering

Technical University of Crete (TUC), Greece

Diploma Thesis Title: “Energy Efficient Control of Bipedal Robot Locomotion in Dynamic Environments”

Thesis Supervisor: Prof. Dr. Michalis Zervakis

Check my ORCID profile.

I am always looking for outstanding students to join for exciting master projects at the crossroads of advanced machine learning and personalized medicine. If you share the vision to advance personalization of care and therapeutics to the next level and show commitment to excellence during your studies, please send me a message with your CV, 1-page motivation letter and academic transcripts.