job: apply some changes to apply to Pythian
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\begin{tabular*}{\textwidth}{@{\hspace{-1ex}}l}
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\textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
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\href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$
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\faIcon{phone-square-alt} +964 775 608 4424 $|$
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\faIcon{map-marker-alt} Karbala, Iraq $|$
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\faIcon{phone-square-alt} +1 (519) 502-8463 $|$
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\faIcon{map-marker-alt} Kitchener, Ontario $|$
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\href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
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\href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
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\href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
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@ -135,7 +135,7 @@
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%-----------SUMMARY----------
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\section{\color{blue}SUMMARY}
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Versatile Computer Engineer and Researcher specialized in Semantic Communications and Edge Computing. First author of two IEEE conference papers focused on optimizing edge-cloud communication through task-driven feature extraction. \textbf{Bilingual in English and Arabic}, with expertise in developing high-efficiency AI pipelines for 5G/6G and Smart City infrastructure. Proven track record of reducing bandwidth demand by \textbf{30$\times$} while maintaining 96\% task accuracy in congested network environments
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Versatile Computer Engineer and Researcher specialized in Semantic Communications and Edge Computing. First author of two IEEE conference papers focused on optimizing edge-cloud communication through task-driven feature extraction, with expertise in developing high-efficiency AI pipelines for 5G/6G networks. Proven track record of reducing bandwidth demand by \textbf{30$\times$} while maintaining 96\% task accuracy in congested network environments
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\vspace{-7pt}
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@ -223,7 +223,7 @@ Versatile Computer Engineer and Researcher specialized in Semantic Communication
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\resumeProjectHeading
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{\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025}
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\resumeItemListStart
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\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Accepted, IEEE MECOM25)}
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\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Published, IEEE Xplore)}
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\resumeItemListEnd
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\resumeProjectHeading
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