Research Areas: o Brain
Computer Interfaces & Brain Machine Interfaces (algorithms, devices, systems,
applications) o
Neural
Signal Processing o
Medical
Image Processing o
Machine
learning o
Data
Analytics o
Artificial
Intelligence o
Neural
and Cognitive Processes and Rehabilitation Current and past projects:
o Next-Generation
Brain-Computer-Brain Platform – A Holistic Solution for the Restoration &
Enhancement of Brain Functions (NOURISH) o Scent Digitalization
and Computation o Voice Biomarker for the Detection of Subsyndrome Depression o MATAI: An AI-Powered Generalist Material Discovery Platform o Artificial intelligence driven
Brain-Computing Research o Machine Learning Based Approach for
Sensory Stimulated EEG Signal Classification o Silent Communication Proof-of-Concept Using Advanced Non-Invasive Brain
Computer Interface and Machine Learning Methods o
Early Detection of Mild Cognitive
Impairment (MCI) through a Novel Digital Assessment o
Resource-Efficient
AI “Deep Transfer Learning, Adaptive Algorithms, Neurorehabilitation” o
Brain-Computer Interface-based Emotion Regulation
for General Anxiety o Neural Network Reorganization Associated with
Upper Limb Motor Recovery in Stroke Patients- Establishing A Prognostic Model
and Tailoring Neuromodulation for Rehabilitation o Brain
Computer Interface Driven Stroke Therapy - Future Health Technologies (FHT) o Deep Learning in Neuroimaging
Analysis for Stroke o Program on Advanced Brain-Computer Interface
Technologies for Mental Healthcare o Research and Development in the
Frontiers of Brain-Computer-Brain Interactions o Effectiveness of a Brain-Computer
Interface-based Programme for the Treatment of Autism Spectrum Disorders and
Attention Deficit Hyperactivity Disorders in Children: A Pilot Study. o
Development of
Interactive System for Brain-Computer Interfaces o
Brain-computer
Interface in Cognition and Rehabilitation o
Arousal
Detection and Training for Social Anxiety Disorder (SAD) o
Robust Neural Decoding and Control System for a
Brain Machine Interface o
Intelligent
Wearable Neural Sensing System (iWENS) o
Scent
Preference Identification based on EEG (SPIE) o
Brain-computer Interface System for Training
Memory and Attention in Healthy Elderly and Elderly with Mild Cognitive
Impairment o
Simultaneous Multiscale Hyperspectral
Near-infrared (NIR) Optical Imaging and MRI for Functional and Molecular
Imaging o
EEG-Based Brain Computer Interface for Cognitive
Enhancement in Elderly with Age-Related Cognitive Decline and Mild Cognitive
impairment (3E-COG) o
NeuroDevice Phase I: Neural Signal Processing o
Advanced
Rehabilitation Therapy for Stroke based on Brain Computer Interface (ArtsBCI) o
Intelligent
System for Neural Critical Care (iSyncc) o
Brain
Computer Interface for Attention Deficit Hyperactivity Disorder (ADHD)
Treatment o
Effectiveness
of a Brain-Computer Interface-based Treatment for Attention Deficit and
Hyperactivity Disorder (ADHD) o
BCI-Based
Robotic Rehabilitation for Stroke o
Brainy
Communicator o
Non-invasive
Brain Stimulation and Brain-Computer Interface Assisted Motor Imagery for
Rehabilitation of Mobility After Stroke o
A
Brain-Computer Interface Based Intervention versus Sham Intervention for the
Treatment of ADHD – a Double-Blind Randomized Controlled Trial o
Assistive Soft Robotic Glove Intervention using
Brain-Computer Interface for Elderly Stroke Patients o
Affect
Regulation Based on Brain-computer Interface Towards Treatment for Depression o
Feasibility Study of BCI-based Adaptive Sensing
and Feedback Training for Chronic Pain Management o
Functional
Magnetic Resonance Imaging Investigation of the Effects of Brain-Computer
Interfaced Based Training on Selective Attention and Response Inhibition in
Children with Attention Deficit Hyperactivity Disorder (ADHD) o
Combined
Transcranial Direct Current Stimulation and Motor Imagery-based Robotic Arm
Training for Stroke Rehabilitation – a Feasibility Study o
Automated
Video-EEG Analytic System in Seizure Detection in the Epilepsy Monitoring
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