معرفی
Pooya Kangani is a researcher at the Chair of Theoretical Information Technology, Technische Universität München. His work focuses on signal processing and OTFS communication, with expertise in time-frequency analysis and operator identification for communication channels. He also contributes to research areas like quantum communication and interference modeling.
He leads research group activities in the Cluster of Excellence MCQST and 6G-life initiatives, specializing in machine learning-based channel estimation for wireless systems. Current projects include ML-Assisted Communication Channel Operator Learning, requiring Python and ML expertise.
Contact: pooya.kangani@tum.de | Office: Raum 0104.04.414 | Phone: +49 (89) 289 - 23252
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Pooya Kangani در سایتهای دیگر
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