Urs Hackstein

Dr. Urs Hackstein serves as a Research Assistant in the EU project QUMPHY and Lecturer for special tasks at the Department of LSE, Technical University of Central Hesse (THM), Germany. His work bridges computational methods with medical diagnostics, focusing on uncertainty quantification in machine learning applications for cardiovascular analysis.

Educational background:

• Dr. rer. nat. (Doctor of Natural Sciences)
• Dipl.-Math. (Diploma in Mathematics)

Research Interests:

• Machine Learning in Medicine: Developing frameworks to quantify uncertainties in ML algorithms for medical signal interpretation, particularly photoplethysmography (PPG) analysis.
• Cardiovascular Diagnostics: Creating non-invasive support systems for early aortic aneurysm detection through biofluid mechanics simulations and biosignal processing.
• Medical Data Science: Integrating biosignal analysis with clinical data for predictive modeling in cardiovascular medicine.

Active Research Projects:

• EU project QUMPHY: Quantifying uncertainties in machine learning for medical physics applications under Prof. Bernhard's supervision.
• BMBF project CardioInBaMed: Developing AI-driven diagnostic tools for aortic aneurysm detection through biosignal processing.

He maintains laboratory facilities at Ringallee 37 D14.2.01, Gießen, supporting experimental work in biofluid mechanics and medical signal acquisition.