معرفی
Sanam MOGHADDAMNIA serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Turkish-German University, Turkey. He holds a BSc from Tabriz University (2002), and both MSc (2006) and PhD (2012) degrees in Electrical Engineering from Leibniz Universität Hannover, Germany. Prior to his current position, he worked as a Research Assistant and Postdoctoral Researcher at Leibniz Universität Hannover from 2006 to 2018.
His educational background includes:
- BSc in Electrical and Electronics Engineering from Tabriz University, Iran (1997-2002)
- MSc in Electrical Engineering and Information Technologies from Leibniz Universität Hannover, Germany (2003-2006)
- PhD in Electrical Engineering and Computer Science from Leibniz Universität Hannover, Germany (2006-2012)
His research spans wireless communications, telemetry, intelligent signal processing, and data analysis with significant applications in healthcare (including ECG-based diagnostics, sepsis prediction, and gait analysis), telecommunications, and industrial sectors. He demonstrates expertise in machine learning applications for biomedical signal interpretation and has contributed to both theoretical wireless communications frameworks and practical medical device assessments.
Analysis of his 2016-2024 publications reveals a strategic pivot toward biomedical engineering applications while maintaining core wireless communications research. His work shows increasing focus on non-invasive medical diagnostics using physiological signals, machine learning for healthcare analytics, and precision assessment of medical devices, alongside continued contributions to MIMO systems and channel estimation techniques.
Scientific Awards: None mentioned in source material.
He actively manages and acquires collaborative research projects with industrial partners across healthcare and telecommunications sectors. No student advisement details are provided in the available documentation.
His research involves interdisciplinary collaboration with industrial partners but no specific laboratory or team names are documented in the source material.
