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 Benefits and options of a combined EEG and NIRx fNIRS setup
Franziska Keller – 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