Graduate Students

Graduate Students

 Sandra Prasad

Project Title: Impact of Transcranial Electric Stimulation Frequency on Stress Mitigation

Project Description:

This project aims to identify the optimal frequency of high-definition transcranial electric stimulation (HD-tES)—including HD-tDCS, theta HD-tACS, alpha HD-tACS, and beta HD-tACS—for effective stress mitigation. Multimodal measurements such as EEG, fNIRS, heart rate, salivary alpha-amylase, salivary cortisol, and standardized questionnaires are used to assess stress responses. Based on the identified optimal frequency, the study further aims to develop a closed-loop stimulation system for personalized and adaptive stress regulation.

 Yara Badr

Project Title: Deep Learning-Based Source Localization for Mental Stress

Project Description:

This project focuses on data-driven localization of mental stress–related brain activity using a hybrid EEG–fNIRS framework. A unified simulation and analysis pipeline with shared neural source models was developed to enable physiologically realistic multimodal data generation. By integrating deep learning with fNIRS-informed EEG source localization, the study aims to improve accuracy, spatial specificity, and robustness compared to conventional localization techniques and EEG-only deep learning approaches.

 Meera Alex

Project Title: Multifunctional Cellulose /Chitosan Bioelectrode for Neural Interfacing Applications

Project Description:

This project develops a sustainable and biocompatible cellulose–chitosan hydrogel bioelectrode for neural interfacing applications. Unlike conventional metal or synthetic polymer electrodes, the proposed material offers improved mechanical compliance, reduced toxicity, and lower production cost. Preliminary results show promising conductivity (5.75 ± 1.25 S m⁻¹), skin-like flexibility, and self-healing capability. The study also integrates machine learning to optimize hydrogel composition for enhanced electrochemical performance.

 Nour Ali

Project Title: Mental Stress Mitigation Using Transcutaneous Auricular Vagus Nerve Stimulation: A Multimodal EEG, fNIRS, and Autonomic Approach

Project Description:

This research investigates the therapeutic potential of transcutaneous auricular vagus nerve stimulation (taVNS) as a non-invasive neuromodulation approach for mitigating mental stress. The study examines how taVNS modulates stress-related brain networks, autonomic activity, and neurocardiac coupling using multimodal EEG and fNIRS, alongside vagally mediated autonomic biomarkers such as HRV.

Chihab Ezzaki

Project Title: Carbon Nanotubes/Polydimethylsiloxane-Based Flexible Electrodes for Electrophysiological Recording

Project Description:

The project investigates the development and characterization of low-cost, flexible, and biocompatible bioelectrodes for electrophysiological recording. These bioelectrodes are based on a composite of multi-walled carbon nanotubes (MWCNTs) and polydimethylsiloxane (PDMS). They are characterized in terms of their electrochemical, electrical, mechanical properties and morphological/structural properties as well as their stability.

Former Students

Anas Chaari: Enhanced Brain Source Localization Using Multimodal Signal Fusion of fNIRS and EEG Data

Nada Zahour: EEG based source localization during mental stress'

Ismat Almadani: EEG based source localization during mental stress'

Muhammad Riyyan: Deepfakes recognition with audio-visual and physiological signals

Shahzeb Naeem:  Diffusion Models for Deepfake Generation

Zaid Alani: Fabrication and Characterization of Nano-Cay Based Flexible Electrodes

Yara Badr: Mental Stress Assessment Using Deep Learning

Ghinwa Elmasri: Mental Stress Assessment in the Working Place

Amaal Ali: Carbon Dots-Based Polymer Composites for Conductive Electrodes

Kashif Khan: MXENE-Based Implantable and Flexible Electrodes for Neural Sensing

Lamis Abdulkader: Wearable Mental Stress State Monitoring System

Rateb Katmeh, Mental Stress Assessment and Mitigation

Mostafa Moussa, Emotions Monitoring 

Omnia Hassanin, Vigilance Assessment and Enhancement

Nadia Abu Farha,  Vigilance Assessment and Enhancement

Nader Al Mufleh,  Design and Characterization of Flexible Implantable Electrodes  

Aseel Dirar Alatoom, Design and Characterization of Flexible Implantable Electrodes

Sajedah Ahmad Almomani, Cortical Source Imaging Using EEG

Meera Alex, Emotions Monitoring

Muhammad Tily, Intraoral Camera for Supporting Assistive Devices

Indu Bodala, Cognitive Vigilance Assessment

Tahereh Zarghami, Cortical Source Imaging Using EEG

Rabiya Momin, Brain Source Localization

Salma Zeid, Cognitive Vigilance Assessment

Rwan Mahmoud, Cognitive Workload Assessment

Wisal Siyam, EEG Source Localization in Focal Epilepsy

Sara Asal, Assessment of Portage Cognitive Evaluation for Down Syndrome Students