Hashim Q. Profile

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$20 USD / saat

islamabad,

pakistan

$20 USD / saat

Şu anda burada saat 10:51 ÖS

Haziran 20, 2022 tarihinde katıldı

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Hashim Q.

@Hashim1213

5,0

(1 değerlendirme)

1,5

100%

$20 USD / saat

islamabad,

pakistan

$20 USD / saat

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Tekrar İşe Alınma Oranı

Prof./Researcher/Data Science/Data Entry/Python/R

I have more than a decade of teaching, coding, simulation, project demonstration, and supervision experience. I have expertise in coding in R, Shiny Apps, Python, and Gradio Apps. Hugging face deployment, Verilog HDL, VHDL, C/C++, Java, and Matlab. Along with the expertise of working on FPGAs, Google Colab, Jupyter Notebook, Cloudsim, and Microwind. Any project/task from mentioned skills will be done in a standard and professional way. Besides the above-written skills, I am available for research, consultancy, tutoring, proofreading, writing, and reviewing tasks.

Research Writers freelancerlarından Pakistan içinden olanlarının tümünü görün.

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Portföy

Cloning Chat-GPT in your Gradio App.

Değerlendirmeler

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5,0

$30,00 USD

Research into possible alternative medicine cures for Spindle Cell Sarcoma cancer

Excellent! Highly recommended!

Nikolai L.

@lotisu

•

2 yıl önce

Deneyim

CUI

Mar 2011 - Şu anda

I worked in the electrical and computer engineering department as an assistant professor. During my stay at CUI, I taught courses like operating systems, computer applications in engineering, digital systems design, computer architecture, algorithms and data structures, software engineering, electronic circuits-1, electronic circuits-2, object-oriented programming, artificial intelligence, electric circuits analysis-1, and digital signal processing.

AJK University

Tem 2008 - Şub 2011 (2 yıl, 7 ay)

I worked in the computer systems engineering department as a lecturer. During my stay at AJK university, I taught courses like operating systems, digital logic design, HDL-based design, microelectronics, computer graphics, distributed systems, electronic devices, object-oriented programming, control systems, and digital signal processing. Besides teaching I supervised projects on wireless electricity (Wi-Tricity), FPGA-based design of filters, Matlab simulation of CDMA, and video conferencing.

Peshawar College of Engineering

Oca 2006 - Tem 2008 (2 yıl, 6 ay)

I taught courses at the bachelor's level for example operating systems, HDL-based Design, Control Systems, and Computer Architecture and conducted laboratory experiments on Altera FPGA Flex10K and Xilinx Spartan 3 and Spartan 3E.

Eğitim

MS

University of Azad Jammu and Kashmir,

Pakistan

2008 - 2010

(2 yıl)

BS(CE)

COMSATS Institute of Information Technology,

Pakistan

2001 - 2005

(4 yıl)

Nitelikler

ORIC-Professional Development COMSATS

2016

Hands-on training on research proposal writing, manuscript writing, formatting, references adding, etc.

CONSTECH

2016

Quality auditor and quality coordinator training for ISO 9001:2015 QMS.

CONSTECH

2014

Quality auditor and quality coordinator training for ISO 9001:2008 QMS.

Yayınlar

Ranking of Neighbor Access Networks as Candidates for Handover

Journal of Next Generation Information Technology

With the development of communication systems and due to the absence of general agreement over their superiority, different categories of networks are realized by separate users. Different types of networks participating in such a heterogeneous environment are likely to pursue distinct types of communication protocols. However, the final agreement of these networks is to maintain quality in terms of the service provided(QoS).

A MOGA-Markov chain optimized ranking algorithm for WAN in heterogeneous environment

IEEE

The mounting customer demands for bandwidth-desirous services are derived from a cost-effective, robust, and high capacity wireless access network. The end users expect a satisfactory and economical delivery of “Quad-play” applications (voice, video, data, and mobility) and rich-media applications (multimedia, interactive gaming, and meta-verse) over the wireless network. In the last two decades, a remarkable evolution of wireless networks is observed.

A cartesian genetic programming based parallel neuroevolutionary model for cloud server'

MDPI

Cloud computing use is exponentially increasing with the advent of the industrial revolution 4.0 technologies. These technologies require cloud data centers to process massive volumes of workloads. As a result, the data centers consume gigantic amounts of electrical energy, and a large portion of the data center's electrical energy comes from fossil fuels. An adaptive resource utilization mechanism of cloud data center resources is vital to get by with this huge problem.

Cloud infrastructure estimation and auto-scaling using recurrent CGPANN

IEEE

The use of cloud resources has increased with the increasing trend of organizations and governments towards cloud adaptation. This increase in cloud resource usage leads to enormous amounts of energy consumption by cloud data center servers. Energy can be conserved in a cloud server by demand-based scaling of resources. But reactive scaling may lead to excessive scaling. That, in turn, results in enormous energy consumption through useless scale-up and scale-down.

Adaptive resource utilization prediction system for infrastructure as a service cloud

Computational intelligence and neuroscience, 2017.

Cloud providers can manage their resource usage by knowing future usage demands from the current and past usage patterns of resources. Resource usage prediction is of great importance for dynamic scaling of cloud resources to achieve efficiency in terms of cost and energy consumption while keeping quality of service. The purpose of this paper is to present a real-time resource usage prediction system.