Jonaid Shianifar

Jonaid Shianifar

He was born in Kermanshah, Iran, in 1995. Current PhD researcher of Computer Science at the University of Galway.

Education

Sep 2022- Present
University of Galway

PhD in Computer Science

Sep 2017- Feb 2020
Razi University

M.Sc. in Micro and Nano Electronic Devices/ Electronic Engineering

GPA: 17.35/20 (3.88/4) (Ranked 1st)
Sep 2013 - Aug 2017
Razi University

B.Sc. in Electrical and Electronic Engineering

GPA: 16.31/20 (3.29/4) (Ranked 4th)

Publications

Journal
Under Review

FPGA based digital implementation of an optimized CNN for object counting application

J. Shianifar, Gh. Karimi
Under Review

Majority Convolutional Neural Networks(MCNN) for Diagnosing Covid-19 from Chest XRay Image

J. Shianifar, Gh. Karimi
To be Submitted

Persian/Arabic Handwritten Digit Recognition using with Convolution Neural Network

J. Shianifar, Gh. Karimi
Conference
Mar 2020
1st Sharif Neuroscience Symposium

Implementation of an MLP neural network with GSA algorithm on FPGA as hardware in the loop

J. Shianifar, Gh. Karimi
Book
2018
Miead andishe pub. (Book in Persian)

Learning VHDL Language + FPGA Hardware

J. Shianifar
ISBN:9786008899631

Research Interests

Reinforcement Learning

Evolutionary Algorithms

Robotics

Deep Learning

Machine Learning

Neural Network

Research Experience

May 2020 - May 2021
Department of Electrical Engineering, Razi University

Research Assistant

Investigate a method for diagnosis of Covid-19 using in deep learning
Under the Supervision of Prof. Karimi
A deep learning method was used to diagnose Covid-19 based on a chest X-ray. In this study, a new layer was introduced for convolutional neural networks. This is a prelude to finding efficient and reliable methods and structures for diagnosis in sensitive cases such as medicine.
Sep 2017 - Feb 2020
Department of Electrical Engineering, Razi University

Electronic Engineering M.Sc. Project

Implementation of Deep Convolution Neural Network on FPGA
Under the Supervision of Prof. Karimi
Methods for optimizing the convolutional neural network (CNN) for implementation on FPGA for embedded applications are presented. The effectiveness of these methods in the CNN for implementation on cheaper hardware has been evaluated. Finally, in order to prove the effectiveness of the proposed method, a real-time object counting network has been implemented and evaluated.
Sep 2016 - Sep 2017
Department of Electrical Engineering, Razi University

Electronic Engineering B.Sc. Project

Smartwatch
Under the Supervision of Dr. Radmalekshahi
Design, programming and implementation of smartwatches using microcontrollers with the ability to connect to mobile (along with android application) to display notifications and transfer information to mobile. It has various sensors such as GPS, air pressure, heart rate, 3-axis gyroscope, temperature and humidity.

Teaching Experience

Lecturer
Razi University

Digital System Lab. I

2021 - 2022

Digital System Lab. II

2021 - 2022

Robotic

Fall 2018

Arduino

Fall 2018

AVR

Fall 2017

VHDL and FPGA

Fall 2017
Research Assistant
Razi University

Digital System Lab. II

2015-2021, Dr. M.Shahbazi

Digital System Lab. I

2018-2021, Dr. M.Shahbazi
Teacher Assistant
Razi University

Digital System I

Fall 2015, Dr. A.Ahmadi

Digital System I

2016-2018, Dr. P.Zarjam

Digital System II

Fall 2017, Dr. M.Radmalekshahi

Microprocessor

Fall 2017, Dr. M.Radmalekshahi

VLSI

Fall 2019, Prof. Gh.Karimi
Graduate Teacher Assistant
University of Galway

Algorithm

2023, Dr. Karl Mason

Awards and Honors

2022
University of Galway

College of Science and Engineering Postgraduate Research Scholarship

2021
Edapt Learning App

Nano Diploma in Artificial Inteigence

2020
Ministry of Science, Research and Technologyy

3th place

at the 12th International Harkat Festival
2020
Razi University

Ranked 1st

among M.Sc. students of the Electronic Engineering Programs
2017
Razi University

Ranked 4th

among B.Sc. students of the Electrical and Electronic Engineering Programs
2016
Razi University

Awarded fellowship of exceptional talents of Razi University

(Accepted to master’s program at Razi University being exempted from the National Qualifications Entrance Exam)
2013

Ranked in the top 5%

among nearly 300,000 participants of the Iranian National University Entrance Exam

Work Experience

2022 - Present
University of Galway

PhD Researcher

2023
University College Dublin

Research Assistant

2021 - 2022
Razi University

Lecturer

2022
2022 IEEE World Congress on Computational Intelligence

Reviewer

2019 - Present
Jornal of Iranian Association of Electrical and Electronic Engineers(jiaeee)

Reviewer

2019 - Present
Shaho Electronic Technology ltd. co.

Co-founder and CEO

Works as a manager of programming and system design department.
Summer 2016
Telecommunication Company of Iran

Intern

Worked as an intern in the design, maintenance, and research and development departments.
Summer 2015
Hadron Technology company

Programmer

Worked as a designer and programmer of digital circuits and microcontrollers
Summer 2015
Bookloop Startup

Co-founder and CEO

Summer 2015
Dahgan Startup

Hardware developer

Worked as a designer and programmer of digital circuits and microcontrollers.
2015 - Present

Freelance

Works as a freelance hardware, web and mobile programmer

Membership

2020 - Present

Member of Eltiam Charity

2019

Secretary of the Organizing Committee

the 10th International Student Festival of Harkat , Ministry of Science and Research.
2019

Member and Vice President

of the National Scientific Student’s Organization of Electrical Engineering(NSSOEE).
2016-2020

Managing Director and Editor of Razi University Silicon Scientific Journal

2013-2020

Member and Head of Razi University Electrical Engineering Student Scientific Association

2012-Present

Member of iranian red crescent

Languages

English

Duolingo English Test Overal: 130

Persian

Fluent

Kurdsh

Native

Programming Language Skills

Python

100%

Matlab

100%

VHDL

100%

Verilog

95%

PHP

90%

Latex

85%

C++

75%

Andriod/IOS

70%

Software Skills

CoppeliaSim

100%

ISE

100%

Vivado

95%

Quartus

90%

Proteus

100%

Altium Designer

80%

Cadence

80%

COMSOL

70%

Hardware Skills

FPGA

100%

AVR

100%

ARM

90%

ESP

100%

Arduino

100%

STM

70%

PLC

75%

References

Certificates Click to view