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@faisalnaeem45
Bandeira de Pakistan Peshawar, Pakistan
Membro desde 6 de abril de 2015
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faisalnaeem45

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I am currently working as a Ph.D. Fellow in Electrical Engineering. My field of expertise is to design optimization and Deep learning techniques using Software-defined networking to optimize network characteristics. I have expertise in python, deep learning, machine learning. I am also an expert in designing estimation algorithms for smart grid and electrical power. I have also technical expertise in proofreading and editing of research papers and thesis.
$20 USD/hr
3 comentários
2.7
  • 100%Trabalhos concluídos
  • 100%No Orçamento
  • 100%Pontualidade
  • 20%Taxa de Recontratação

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Comentários recentes

  • imagem de Ayesha K. Need a laTex expert $30.00 USD

    “Faisal is hardworking guy. He completed the report i have assigned him within time he promised. And the quality of work is also perfect. definitely gonna hire him again.”

  • imagem de Deep Learning G. Project for Faisal N. -- 19/08/02 13:40:29 $70.00 USD

    “I did second project with him. He is perfct expert as i recommend to take projects with him. Many thanks to him”

  • imagem de Deep Learning G. Project for Faisal N. $130.00 USD

    “The best freelancer as he did very professional working in writing journal in IEEE and SCOPUS. He perfect freelancer with fast implementation novel solution of AI ( machine learning and deep learning). i will hire him again and again”

Experiência

Research Fellow

Aug 2018

I am working as a research fellow at NUCES-FAST University. My research area is optimizing communication networks using Software-Defined networking and Deep Learning approach.

Educação

BS Telecommunication Engineering

2008 - 2012 (4 years)

MS ELECTRICAL ENGINEERING (COMMUNICATION AND ELECTRONICS)

2012 - 2014 (2 years)

Qualificações

CCNA (Routing and switching) Instructor (2018)

CISCO

I am a certified CISCO Instructor.

Publicações

Managing IoT-Based Smart Healthcare Systems Traffic with Software Defined Networks

Internet of things (IoT) aims to connect billions of devices to the Internet. These devices generate an enormous amount of traffic. A Wireless Body Area Network (WBAN) aggregates the data generated from the body sensors deployed on the human body or inside it. Due to resource constraints of the deployed sensors, aggregated data is forwarded to a server at an edge node or a cloud for further processing and decision making. With the wide acceptance of IoT deployments, WBANs can also be integrated with IoT to

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