I am a Post-Doctoral Associate at the Center for Artificial Intelligence and Robotics at NYUAD lead by Prof. Anthony Tzes, Prof. Farshad Khorrami and Prof. Yann LeCun. I am currently interested in building brain controlled interfaces using EEG and Machine Learning.

I have obtained my PhD in Electrical Engineering from NYU Tandon School of Engineering in September 2022. My PhD research was in the intriguing intersection of haptics, neuroscience, signal processing and machine learning. The main focus of my PhD research was on developing a conceptual framework for modeling and understanding the haptic experience through neural EEG data and Machine Learning. My PhD research was conducted at the Applied Interactive Multimedia (AIM) and sypervised by Dr.Mohamad Eid. I was generously supported by the Global PhD Student Fellowships in Engineering during my PhD time.

Prior to NYU, I obtained a master’s degree in Microsystems Engineering from Masdar Institute of Science and Technology (now Khalifa University). I was fortunate to work there with Prof. Jerald Yoo to model and characterize printed passive electrical elements on medical Hydrocolloids.

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You can contact me at haneen@nyu.edu

CV, Google Scholar, LinkedIn, Github

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News!

Accepted Journal paper at Scientific Reports
Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis
September, 2024_

Accepted Journal paper at Scientific Reports
Evaluation of perceived urgency from single-trial EEG data elicited by upper-body vibration feedback using deep learning
August, 2024_

Accepted Journal paper at Scientific Reports
EEG correlates to perceived urgency elicited by vibration stimulation of the upper body
June, 2024

Accepted Journal paper at JNE
Five-Finger Motor Imagery Classification: A Data-Driven Approach with Shapley-Informed Augmentation
March, 2024

Accepted Journal paper at JNE
On vibration intensity classification from single trial EEG data
September, 2023

Accepted Journal paper at Frontiers in AI and Robotics
On using Deep Learning to assess handwriting task difficulty levels
September, 2023

Accepted Journal paper at ToH
Under the special issue of World Haptics Conference 2023
May, 2023

Joined CAIR at NYUAD
I joined the Center for Artificial Intelligence and Robotics (CAIR) as a Post-Doctoral Associate
October 23rd, 2022

Successful PhD defence
I defended my thesis at New York University Tandon School of Engineering, entitled “A Machine-Learning-Based Neurocognitive Framework to Evaluate the Experience of Haptic Delay
September 9th, 2022

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Publications

Assessment of EEG-based Functional Connectivity in Response to Haptic Delay
H. Alsuradi, W. Park, and M. Eid
Frontiers in Neuroscience, 2022

An ensemble deep learning approach to evaluate haptic delay from a single trial EEG data
H. Alsuradi, and M. Eid
Frontiers in Robotics and AI, 2022

Midfrontal Theta Oscillation Encodes the value of Haptic Delay
H. Alsuradi, W. Park, and M. Eid
Scientific Reports, 2022

Midfrontal Theta Oscillation Encodes Haptic Delay
H. Alsuradi, W. Park, and M. Eid
Scientific Reports, 2021

FaceGuard: A Wearable System To Avoid Face Touching
A. Michelin, G. Korres, S. Ba’ara, H. Assadi, H. Alsuradi, R. Sayegh, A. Argyros, M. Eid
Frontiers in Robotics and AI, 2021

Trial-based Classification of Haptic Tasks Based on EEG Data
H. Alsuradi, and M. Eid
IEEE World Haptics Conference (WHC), 2021

EEG-based Classification of the Intensity of Emotional Responses
V. Babushkin, W. Park, M. Jamil, H. Alsuradi, and M. Eid
10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021

EEG-based Neurohaptic Research: A Literature Review
H. Alsuradi, W. Park, and M. Eid
IEEE Access, 2020

Explainable Classification of EEG Data for an Active Touch Task using Shapely Values
H. Alsuradi W. Park, and M. Eid
International Conference on Human-Computer Interaction, 2020

Detection of Tactile Feedback on Touch-screen Devices using EEG Data
H. Alsuradi, C. Pawar, W. Park, and M. Eid
IEEE Haptics Symposium (HAPTICS), 2020

Screen Printed Passives and Interconnects on Medical Hydrocolloid Dressing for Wearable Sensors
H. Alsuradi, and J. Yoo
Scientific Reports, 2019

A 1.1-mW ground effect-resilient body-coupled communication transceiver with pseudo OFDM for head and body area network
W. Saadeh, MAB. Altaf, H. Alsuradi, J. Yoo
IEEE Journal of Solid-State Circuits, 2017

Design and Modeling of an Inductive Coupling Wireless Power Transfer Using Printed Spirals on Medical Hydrocolloid Dressings
H. Alsuradi, and J. Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), 2017

A 1.1 mW hybrid OFDM ground effect-resilient body coupled communication transceiver for head and body area network
W. Saadeh, H. Alsuradi, M. Altaf and J. Yoo
IEEE Asian Solid-State Circuits Conference (A-SSCC) (Presenting Author), 2016

The collinear resonance ionization spectroscopy (CRIS) experimental setup at CERN-ISOLDE
T.E. Cocolios, H. Alsuradi, et al.
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 2013

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