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
Christoph Guger
g.tec medical engineering
Danut Irimia
g.tec medical engineering GmbH
Haroon Khan
OsloMet – Oslo Metropolitan University
Kousik Sarathy Sridharan
IIT Hyderabad
Suranjita Ganguly
IIT Hyderabad
Yalda Shahriari
University of Rhode Island
Jiaqi Gong
The University of Alabama
Dr. Soroush Korivand
Mississippi State University
Michael Babinec
California State University, Fullerton
Dr. Kiran George
California State University, Fullerton
Maria Adelia de Aratanha
NIRx
Tomek Rutkowski
RIKEN Center for Advanced Intelligence Project
Patrick Reitner
g.tec medical engineering