Ahmed Arafa

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Ahmed Arafa
Associate Professor
Department of Electrical and Computer Engineering
University of North Carolina at Charlotte

office: EPIC 2262
phone: (704) 687-7480
email: aarafa@charlotte.edu
web: https://webpages.charlotte.edu/aarafa/

About me

I am an Associate Professor of ECE at UNC Charlotte. I have been with UNC as a tenure-track Assistant Professor since August 2019. Before that, I spent two wonderful years at Princeton's EE as a Postdoctoral Research Associate, hosted by Vince Poor. In 2017, I was fortunate to receive my PhD degree in EE under the supervision of Sennur Ulukus at the University of Maryland's ECE. I received the NSF CAREER Award in 2022.

My research interests are in communication and information theory, communication networks, wireless, signal processing and machine learning. Recently, I have been working on projects pertaining to

  • federated and distributed learning

  • semantic communications (see, e.g, age-of-information)

  • information-theoretic security and privacy

News

  • 10-26: CIPL student Abdulmoneam Ali has successfully defended his PhD thesis. Congratulations Dr. Ali!

  • 7-26: Our paper, ‘‘Semantic Freshness Optimal Sampling and Transmission for Gossiping Receivers’’, has been accepted for publication in ITW ’26.

  • 7-26: Our paper, ‘‘Eigenspace-Based Clustering for Personalized System Identification’’, has been accepted for publication in Allerton ’26.

  • 5-26: Our paper, ‘‘Optimal Age of Information Scheduling in Deterministic Dual-Channel Networks’’, has been accepted for publication in the International Telecommunications Conference (ITC) ’26.

  • 4-26: CIPL student Abdulmoneam Ali receives the Joshi Memorial Scholarship from the ECE Department at UNC Charlotte. Congratulations Abdulmoneam!

  • 4-26: Our FedVision paper has been selected for an in-person oral presentation, and is recognized as a best paper award finalist in the workshop. (arXiv)

  • 3-26: Our paper, ‘‘FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels’’, is accepted for publication in the 5th Workshop on Federated Learning for Computer Vision (FedVision) (in conjunction with CVPR ’26).

  • 1-26: Two papers accepted for publication in IEEE ICC ’26:

    • ‘‘Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation’’.

    • ‘‘Transmit or Idle: Efficient AoI Optimal Transmission Policy for Gossiping Receivers’’.