Hey!

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

My research interests lies in cross-road of Physiological Computing,, Virtual Reality, and Multi-sensory experiences! Currently, I'm using different methods to study capablities of HMD-VR to leverage it in rehabilitation applications!

You can find me on:

LinkedIn
GitHub

Check out my Research Gate and Google Scholar!

Immersive VR Environment For Patients Who Have suffered from Aphasia

Multisensory VR Experience

I’ve had a chance to create experiements to investigate effects of multimodal feedback on user experience! Stay tuned for upcomming papers!

Our first paper: Review of systems that integrated VR with wearables for stroke rehabilitation!

HMD-based Virtual Reality and Physiological Computing for Stroke Rehabilitation: A Systematic Review

Latest News

TeTrA: Jump to speech controlled VR env

It was one of my dreams that someday there will be games controlled via brain, speech, and body movements! However, I’ve seen Kinect which helps you to control the game[…]

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The Oranges: A multi-sensory Experience

During past weeks, I was designing and collecting data to investigate QoE items in an multi sensory environment enabled with olfactory and haptic feedback. The results will be published soon![…]

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BCIGameJam’21! MuSAE Games 🙂 A Winner!

We (Marilia, Olivier and Reza!) participated in this year’s online jam to build a brain controlled game! Our game won as Overall Winner (1st place!), Popular vote (Other Devs), Best[…]

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Contributions

The organizations I have contributed

OpenLab at UHN

University of Tabriz

Lady Davis Institute at JGH

University of Tabriz

Tabriz University of Medical Sciences

Ardabil University of Medical Sciences

East Azerbaijan National Elite Foundation

BCI Lab at University of Tabriz

Other Projects

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.

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.