Fardad Ansari

I am a passionate Electrical and Communications Engineer with an MSc focused on pioneering the next generation of wireless systems (5G/6G). My thesis research specialized in applying Deep Learning models to solve one of the key challenges in Massive MIMO: Channel State Information (CSI) feedback compression. I am driven by the challenge of making wireless communication faster, more efficient, and more intelligent. My unique background in Biomedical Engineering provides me with a systems-level perspective, allowing me to approach complex problems with an interdisciplinary mindset. I am now seeking to leverage my expertise in wireless communications, deep learning, and signal processing in a challenging R&D or Systems Engineering role. Key Expertise: 5G/6G Systems | Massive MIMO | Deep Learning (for Wireless) | Channel State Information (CSI) | Python (PyTorch/TensorFlow) | Signal Processing | Research & Development

Living in : Iran

Gender : MaleRace : White

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Educations

Telecommunication EngineeringMaster'sUniversity of Tabriz2024-02-06 Iran

Biomedical Engineering Bachelor'sSahand University of Technology Tabriz2018-02-18 Iran

English Scores

TOEFL01-Jan-0001

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Journal Publications

Publication Title :

Robust and Efficient CSI Compression Using a Novel Deep Learning Architecture in Noisy MIMO EnvironmentsFirst author

Journal :

IEEE Transactions on Mobile Computing

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