Temesgen Mehari

Electrophysiology

Physikalisch-Technische Bundesanstalt

About

Temesgen Mehari works in Electrophysiology affiliated with Physikalisch-Technische Bundesanstalt.

Temesgen Mehari is a machine learning researcher focused on AI applications in ECG analysis. He currently serves as a Data Scientist in ML R&D at Buynomics. He previously conducted research at the Physikalisch-Technische Bundesanstalt and the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute.

Research focus

12-lead ECG Representation LearningECG Feature Importance AnalysisStructured State Space Models for ECGPatient Metadata Integration in Cardiac AnalysisAuditing Deep Learning Models for ECG

Impact

14 pubs · 279 cites · h-index 5

Training

PhD in AI for Medicine
Technische Universität Berlin
2025
Master in Computer Science & Machine Learning
Technische Universität Berlin
2019

Affiliations

Work Experience

Buynomics

2025 - Present

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

2021 - 2025