Seyedmohammad Azimi Abarghouei
POSTDOC
Kungliga Tekniska Högskolanhttps://www.kth.se/profile/seyaa
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Address
TEKNIKRINGEN 33
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About me
I am a Postdoctoral Fellow at the Division of Network and Systems Engineering of KTH Royal Institute of Technology. In November 2020, I successfully completed my Ph.D. program at Sharif University of Technology in Iran. I am honored to have received the Best PhD Thesis Award in the field of electrical engineering at the national level. My research was focused on developing theory and practices for large-scale and distributed wireless networks. Presently, I work on distributed machine learning.
Recent News
- Mar. 2024: We released a preprint titled "Quantized Hierarchical Federated Learning: A Robust Approach to Statistical Heterogeneity"
- Jan. 2024: Our paper, titled "Scalable Hierarchical Over-the-Air Federated Learning," has been accepted for publication in IEEE Transactions on Wireless Communications.
- Jan. 2024: Our paper, titled "Matérn cluster process with holes at the cluster centers," has been published in Statistics & Probability Letters.
- Dec. 2023: I have been awarded the Jubilee Appropriation Scholarship from the Knut and Alice Wallenberg Foundation.
- Dec. 2023: Our conference paper titled “Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity” has been accepted to the IEEE Wireless Communications and Networking Conference (WCNC) 2024, taking place in Dubai, United Arab Emirates.
- Dec. 2023: Listed as the Exemplary Reviewer of IEEE Communications Letters
- June 2023: Our paper, titled "Fundamentals of Clustered Molecular Nanonetworks," has been published in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications.
- May 2023: Our conference paper titled "Interference-Aware Molecular Detector Design for Clustered Bio-Nanonetworks" will be presented at IEEE ICC 2024 in Rome, Italy.
- March 2023: Listed as the Exemplary Reviewer of IEEE Wireless Communications Letters
- Nov. 2022: We released a preprint titled "Multi-Server Over-the-Air Federated Learning"
- March 2022: Listed as the Exemplary Reviewer of IEEE Wireless Communications Letters