Ismail Șenöz

Ismail Șenöz is a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in Signal Processing Systems and affiliated with BIASlab (Bayesian Inference and Signal Analysis Lab). His research focuses on developing advanced message passing algorithms for signal processing applications, particularly in hearing care technology.

His primary research interests include:

• Bayesian Inference and Message Passing techniques
• Probabilistic modeling for signal processing
• Hearing impairment solutions and hearing aid technology
• System identification and parameter estimation

Dr. Șenöz's recent work demonstrates a strong trend toward applying message passing algorithms to practical hearing care applications, with significant contributions to trajectory planning, amplitude demodulation, and system identification. His research combines theoretical advances in Bayesian computation with real-world engineering problems.

He is actively involved in two major research projects:

• Auto-AR: Automated Situated Design of Augmented Hearing Reality Algorithms (2021-2026)
• CoHear: Hearing Care Collaborative Hearing Device Design (2017-2025)

His collaborative work with A. de Vries and other researchers at TU/e has resulted in numerous conference publications with practical applications in hearing technology and signal processing systems.