Sajad Zandi | Distributed Network | Best Researcher Award

Mr. Sajad Zandi | Distributed Network | Best Researcher Award

Mr. Sajad Zandi ,University of technology Sydney, Australia

Sajad Zandi is affiliated with the University of Technology Sydney in Australia. He specializes in [mention his field or area of expertise, if known]. With a background in [mention any relevant educational or professional background], Mr. Zandi contributes to [mention any notable contributions or areas of focus]. His research interes

Profile

Scopus

Education:

Master of Electrical Engineering – Telecommunication,Malayer University, Hamadan, Iran,Sep. 2014 – Sep. 2017,GPA: 17.33 out of 20,Bachelor of Telecommunication Engineering (Transmission),Safahan Institute of Higher Education, Esfahan, Iran,Sep. 2009 – Jul. 2011,GPA: 16.76 out of 20,Associate of Telecommunication – Data Communication,Hormozgan University, Hormozgan, Iran,Jan. 2007 – Sep. 2009,GPA: 16.30 out of 20

Experience:

Researcher, R&D Department,SINA Innovative Communications System Company, Tehran, Iran,Dec. 2021 – Present,Technical Project Manager,Nokia-OM International Company, Tehran, Iran,Nov. 2017 – Dec. 2019,Researcher,Nabius International Institution, Esfahan, Iran,Jul. 2011 – Sep. 2014

Research Focus:

Your recent research collaborations are primarily focused on:,Diffusion algorithms in signal processing,Adaptive filters for sparse system identification over distributed networks,Demand-side management algorithms,Robust algorithms for impulsive noise environments

Skills:

Operating Systems: Proficient in Microsoft Windows and Linux,Programming Languages: C, C++, Java, Matlab, R, Python,Scientific Software: LabVIEW,Signal Processing: Deep learning, machine learning, computer vision,Other Skills: Technical project management, wireless network administration

Awards:

  • Reviewing Journal of Signal Processing Award (Mar. 2023)
  • TOEFL iBT (home edition): Overall score 102 (Dec. 2021)

 publications:

    • You have several publications in reputable journals, including IEEE Transactions and Springer journals, focusing on various aspects of signal processing, adaptive filters, and demand-side management algorithms.

    References:

    • Dr. Mehdi Korki
      • Senior Researcher, School of Science, Swinburne University of Technology, Australia
      • Email: mkorki@swin.edu.au
    • Dr. Vahideh Montazeri
      • Assistant Professor, Department of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran