Hey!

I'm Reza, M.Sc. of Télécommunications at University of Quebec, INRS-EMT.

My research interests lies in cross-road of Physiological Signal Processing, Rehabilitation and Virtual Reality.

You can find me on other platforms!

LinkedIn
GitHub

Check out my Research Gate and Google Scholar!

Call for colaborations on Multi-sensory projects!
       If you’d like to colaborate with me on “haptic/smell/visual/audio-based feedback and their effect on EEG”, let me know by sending an email! I will need help to accelerate the procedure of writing as well as runnig the experiments on small set of group.

Read Latest Publishings

It’s hopeful that two of my recent researches, ACCEPTED and PRESENTED in NUSYS’19. I published them here, and I want to have your response!

Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019

Also You can use below links to read more:

An Automatic Driver Assistant based on Intention Detecting Using EEG SignalMedical Image Enhancement and Deblurring
An application of AI in Medicine

Online COVID-19 Diagnoser

An outbreak of SARS-CoV-2 shocked healthcare systems around the world. It began in December 2019 in Wuhan, China, and spread out in over 120 countries in less than three months. Imaging technologies helped in COVID-19 fast and reliable diagnosis. CT-Scan and X-ray imaging are popular methods. This study is focused on X-ray imaging, concerning limitations in small cities to access CT-Scan and its costs. Using deep learning models helps to diagnose precisely and quickly. We aimed to design an online system based on deep learning, which reports lung engagement with the disease, patient status, and therapeutic guidelines. Our objective was to relieve pressure on radiologists and minimize the interval between imaging and diagnosing. VGG19, VGG16, InceptionV3, and ResNet50 were evaluated to be considered as the main code of the online diagnosing system. VGG16, with 98.92% accuracy, achieved the best score. VGG19 performed quite similarly to VGG16. VGG19, InceptionV3 and ResNet50 obtained 98.90, 71.79 and 28.27 subsequently.

Immersive VR-Environment For Patients Who Have suffered from dementia

The first version is now here! but i’m tessting second version currently and I’ll publish it ASAP

Latest News

Coping with life after migration 🙂

It’s been almost five months that I moved to Montreal as an international student. I’d like to share interesting aspects of migration, society of Montreal and also suggestions about dealing[…]

Read more

New Preprint: How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?

After developing an online COVID-19 diagnosing system, I was interested in drawbacks of Machine Learning in Healthcare. One of the biggest issues are vulnerability of these models. In this preprint,[…]

Read more

My Volunteer Experience in Hospital: Six-month COVID-19 fight!

Everything started from late April 2020 when I entered Imam Khomeini Hospital of Ardabil city to build up a pioneering machine learning approach to diagnose COVID-19 from CT-Scan. The idea[…]

Read more

Contributions

The organizations I have contributed

University of Tabriz

Tabriz University of Medical Sciences

Ardabil University of Medical Sciences

East Azerbaijan National Elite Foundation

BCI Lab

Lady Davis Institute at the JGH

More…

I’m Reza Amini Gougeh, holding B.Sc. of Biomedical Engineering from the University of Tabriz, Iran and studying M.Sc of Telecommunication in INRS, at MuSAE Lab., Montreal, QC!
I love to extend my knowledge over different fields of BME. As you know, this field uses mechanics, electronics, materials, and medical science to help health-care system including rehabilitation procedures.
Programming ,as a beneficial tool, has a crucialrole in reaching acceptable outcomes.
When I was 16, I learned front-end design using HTML and CSS. After a while, I learned C and C++. In university, I had challenging problems, so I attracted to python and MATLAB, which were more efficient and fast in Data analyzing.
In early 2018, I interested in BCI systems, and tried to read and research more in this field. This passion led me to be a member of BCI Lab.
After having an invitation from Iran’s National Elites Foundation to work on VR game to enhance 3D-object comprehension in elementary students, I decided to use my knowledge in game designing to help people who suffer from dementia.
Attending MuSAE Lab., was one of the most happiest events of my life! Having a cool, knowledgeable and supportive team around me, increases productivity.
By joinng to DREAM BIG research as RA in June 2021, I had opportunity to implement my knowledge over ML and AI on helping/evaluating mental health issues.