معرفی
Dr. Mahdi Barhoush is a Postdoc researcher and teaching assistant at RWTH Aachen University since 2023. His work focuses on applying machine learning to medical domains, particularly in distributed learning systems and signal processing.
- PhD (2023): "Using machine learning in the medical field: speaker signal processing and distributed learning systems"
- MSc (2015): Communication Engineering, RWTH Aachen University
- BSc (2013): Telecommunication Engineering, Arab American University
His research spans medical machine learning, edge computing, and IoT optimization, with recent publications on federated learning, split learning architectures, and privacy-preserving ECG classification systems. He contributes to advancements in energy-efficient AI for resource-constrained environments and speaker localization in hospitals.
Scientific achievements include:
- Best Paper Award at RADAR 2024
He collaborates with the INDA Institute in Aachen, contributing to active research projects in distributed learning, 6G technologies, and biomedical AI applications.
