MASTERCLASS PROGRAM

10:30 – 11:00 Introduction and how to configure your EEG + fNIRS setup via the g.tec configurator
Christoph Guger – g.tec medical engineering

11:00 – 12:00 EEG-fNIRS-Eye Tracking Fusion for Neurocognitive Insights
Tomek Rutkowski – RIKEN Center for Advanced Intelligence Project

12:00 – 13:00 Wireless EEG and fNIRS recordings
Patrick Reitner – g.tec medical engineering

13:00 – 14:00 Investigation of Gait with fNIRS
Haroon Khan – OsloMet – Oslo Metropolitan University

14:00 – 15:00 Vibes that emote: An empirical approach to affective haptics
Kousik Sarathy Sridharan, Suranjita Ganguly – IIT Hyderabad

15:00 – 16:00 fNIRS recordings with NIRx
Maria Adelia de Aratanha – NIRx

16:00 – 17:00 Modality Fusion: EEG-fNIRS Convergence for a Deeper Dive into Auditory Processing
Yalda Shahriari – University of Rhode Island

17:00 – 18:00 Combination of NIRx fNIRS with g.tec EEG
Danut Irimia – g.tec medical engineering

18:00 – 19:00 Leveraging EEG Data with Reinforcement Learning and Multimodal Neurophysiological Insights for Enhanced Rehabilitation
Jiaqi (Jackey) Gong, Soroush Korivand – The University of Alabama, Mississippi State University

19:00 – 20:00 Machine Learning-Driven EEG and fNIRS-Based BCI Research Applications 
Dr. Kiran George, Michael Babinec – California State University, Fullerton

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Christoph Guger

g.tec medical engineering

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Danut Irimia

g.tec medical engineering GmbH

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Haroon Khan

OsloMet – Oslo Metropolitan University

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Kousik Sarathy Sridharan

IIT Hyderabad

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Suranjita Ganguly

IIT Hyderabad

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Yalda Shahriari

University of Rhode Island

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Jiaqi Gong

The University of Alabama

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Dr. Soroush Korivand

Mississippi State University

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Michael Babinec

California State University, Fullerton

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Dr. Kiran George

California State University, Fullerton

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Maria Adelia de Aratanha

NIRx

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Tomek Rutkowski

RIKEN Center for Advanced Intelligence Project

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Patrick Reitner

g.tec medical engineering

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