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$20 USD / hour
Flag of IRELAND
galway city, ireland
$20 USD / hour
It's currently 7:09 AM here
Joined April 14, 2019
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Talha I.

@italha91

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$20 USD / hour
Flag of IRELAND
galway city, ireland
$20 USD / hour
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P.hD. Electrical (Electronics) Engineering and Med

I have received BSc and MS in electrical (electronics) engineering degree in 2016 and 2018. I am currently pursuing my P.hD. electrical (electronics) engineering and medicine degree from National University of Ireland, Galway, Ireland. My research areas are embedded systems, computer vision, and machine learning. Most of my interest lies in supervised and unsupervised learning, generative adversarial networks, data science, and image processing. I am the gold medalist in Diploma of Associate Engineering (DAE (Electronics)), bronze medalist in BSc program and gold medalist in MS program. I have participated in project competition organized by Directorate of Science & Technology (DoST) and in Frontiers of Information Technology conference (FIT 2015) project exhibitions. I have also conducted a Pakistan Engineering Council (PEC) workshop as a resource person on Programmable Logic Controller (PLC) and SCADA Training. I am a recipient of the QCRI/Boeing Travel grant and APPRC 2019 Award.

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Experience

Head of different Projects

University
Sep 2012 - Present
I have lead different projects in the field of embedded systems, digital electronics, on PLCs, machine learning, and artificial intelligence.

Education

P.hD. in Electrical (Electronics) Engineering and Medicine

National University of Ireland, Galway, Ireland 2019
(Less than a year)

MS in Electrical Engineering

COMSATS Institute of Information Technology, Pakistan 2016 - 2018
(2 years)

BSc. Electrical (electronics) Engineering

COMSATS Institute of Information Technology, Pakistan 2012 - 2016
(4 years)

Qualifications

Masters of Science Electrical Engineering

COMSATS University, Abbottabad Campus, Paksitan
2018
I have done my Masters thesis in the field of Machine Learning and Artifical Intelligence

Publications

Generative Adversarial Network for Medical Images (MI-GAN)

Journal of Medical Systems
In this paper, we propose a new Generative Adversarial Network for Medical Imaging (MI-GAN). The MI-GAN generates synthetic medical images and their segmented masks, which can then be used for the application of supervised analysis of medical images.

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