Nibras Abo Alzahab

Nibras Abo Alzahab

Ph.D. (Doctor Europaeus) | Biomedical AI Researcher

Passionate researcher specializing in Brain-Computer Interfaces, AI, and biomedical signal processing with 8+ years of international research experience.

10+ Years Research
10+ Publications
400+ Days Intl. Research

About Me

Dr. Nibras Abo Alzahab Nibras Abo Alzahab

PhD (European Doctorate) in Information Engineering. Biomedical engineer specializing in Artificial Intelligence with over 8 years of research and teaching experience in Italy and France. I develop and publish machine learning, deep learning, and large language model solutions for medical imaging, physiological signals, and natural language processing, contributing to EU-funded projects such as H2020 TRUST, Horizon Europe DigiBuild, and ANR ACTIVIS. Active member of IEEE and the Brain-Computer Interface Society. Fluent in Arabic, English, and Italian.

10+ Years Exp.
10+ Publications
15+ Reviews
400+ Research Days
I am driven by the belief that knowledge is not only a personal treasure but a social responsibility. My journey from Damascus to European research institutions has taught me that true innovation happens when we fearlessly step beyond our comfort zones while remaining grounded in ethical principles.

My mission is to develop AI technologies that empower rather than replace, that illuminate rather than obscure, and that serve humanity's highest potential.

Core Values

Purposeful Knowledge

زكاةُ العلم نشرُه

Knowledge is not a private possession, but a message to be shared. True knowledge grows when it's used to enlighten others.

المعرفة ليست ملكاً خاصاً، بل رسالة يجب أن تُنشر. فالعلم يزكو حين يُستخدم في إنارة عقول الآخرين.

Fearless Growth

ارتقاءٌ رغم الضيق

Growth doesn't happen in comfort. Real transformation begins where fear resides — in the unfamiliar, in the difficult.

النمو لا يحدث في الراحة، بل يبدأ التغيير الحقيقي حيث يسكن الخوف — في المجهول، وفي التحديات.

Ethical Innovation

الابتكار المسؤول

Innovation should uplift humanity, not exploit it. Technology must be guided by ethics, purpose, and social responsibility.

الابتكار يجب أن ينهض بالإنسانية لا أن يستغلّها. والتقنية لا تكتمل إلا حين تقودها الأخلاق والهدف والمسؤولية الاجتماعية.

Experience & Career

Postdoctoral Research Fellow

Marche Polytechnic University Ancona, Italy 01/2025 - Present
  • Research project management across 5+ EU-funded projects
  • Development of AI models for physiological and energy data analysis
  • Manuscript drafting and conference presentations (4+ major conferences)
  • Multidisciplinary team collaboration (10+ members)
  • Grant acquisition, budgeting, and compliance oversight
Python TensorFlow PyTorch MNE Signal Processing

Research Intern

Montimage Paris, France 11/2023 - 09/2024
  • Developing Blockchain system for biometric authentication
  • Building Solidity smart contracts and Decentralized Applications (dApps)
  • Integrate Decentralized Applications (dApps) with IoT devices
Solidity Blockchain Smart Contracts IoT Biometrics

Research Intern

STARS Team, Inria Sophia Antipolis Valbonne, France 02/2023 - 08/2023
  • Research on transformer encoders and self-attention mechanisms
  • Built a multidisciplinary generalizable EEG model based on self-supervised learning
  • Physiological data processing: EEG, ECG, EDA, and PPG
Transformers Self-Supervised Learning Multi-modal AI PyTorch

Research Intern

Potioc Team, Inria Bordeaux Sud-Ouest Bordeaux, France 10/2021 - 12/2021
  • Monitored cognitive load during BCI training (24-subject dataset)
  • Built and compared 3 classification pipelines for cognitive load assessment
  • Analyzed N-back and R-span cognitive tasks using ML techniques
  • Produced 7 comprehensive research reports
Machine Learning BCI Cognitive Load Analysis Python

Research Intern

Empathic Computing Lab, University of South Australia Adelaide, Australia 06/2021 - 10/2021
  • Classified Neuro-based emotion recognition
  • Developed 3 Deep learning models using CNN architectures
  • Weekly task reporting and iterative model improvement
Deep Learning CNN Emotion Recognition EEG

Research Intern

Marche Polytechnic University Ancona, Italy 03/2021 - 06/2021
  • Improved EEG authentication techniques (48-subject dataset)
  • Designed 4 protocols for resting-state and auditory stimuli BCI experiments
  • Achieved 9.27% accuracy improvement using auditory stimuli
  • Enhanced feature extraction computational speed by 82.37%
  • Recorded EEG from 20 subjects and trained 4 staff members
EEG BCI Biometric Authentication Signal Processing

Maintenance Engineer

Medica Engineering Center Damascus, Syria 04/2019 - 07/2019
  • Managed equipment lifecycles and processes
  • Adjusted machine settings for performance optimization
  • Installed new and repaired parts for defective machines
  • Reviewed technical documentation
Medical Devices Electronics Troubleshooting

Maintenance Engineer

United Medical Company Damascus, Syria 09/2018 - 03/2019
  • Process improvements for equipment reliability
  • Preventive maintenance for mechanical ventilators
  • Strategic equipment lifecycle management
  • Complex electrical equipment troubleshooting and repair
Medical Devices Electronics Ventilators

Technical Skills

Scientific Writing & Publications
Research Methodologies & Experiment Design
Logical Communication of Complex Ideas
Troubleshooting & Problem-Solving
Project Management & Public Speaking
Data Curation & Annotation
LaTeX, Mendeley, BibTeX, EndNote, ResearchRabbit
Python (MNE, TF/Keras, PyTorch, Scikit-Learn, Pandas)
MATLAB / Octave
C++
Solidity & Smart Contracts
R, SQL, Java
Git Version Control
SPSS, AutoCAD, SolidWorks
Photoshop, GIMP, Illustrator, Inkscape
Deep Learning (CNN, RNN, Transformers)
EEG Recording & Analysis
Biosignal Processing & Time Series
Brain-Computer Interfaces (BCI)
IoT & Edge AI (Arduino, Raspberry Pi, NVIDIA Jetson)
Blockchain & Decentralized Applications
Medical Imaging Analysis
Electronics & PCB Design
Arabic: Native ★★★★★
English: Fluent (C2) ★★★★★
Italian: Professional ★★★★☆

Education

Ph.D.: Information Engineering

Polytechnical University of Marche

05/2025

  • Awarded the prestigious Doctor Europaeus title, recognizing the international excellence of doctoral research
  • Published 10+ peer-reviewed international scientific papers in reputable journals and conferences
  • Contributed to the academic community as a peer reviewer for 15+ scientific journals and conferences
  • Completed 400+ days of international research secondments, gaining multidisciplinary experience in leading European institutions

Master of Science: Biomedical Engineering

Polytechnical University of Marche

07/2021

  • Received FLOR Scholarship
  • Awarded First prize and best ever results at Fifth Matlab ECG Processing Challenge

Bachelor of Science: Biomedical Engineering

Damascus University

10/2018

  • Awarded First Place at Albassel Fair for creativity and innovation
  • Awarded First Place at Bright Inventors Competition
  • Awarded First Place at Wikilogia Hackathon, Artificial Intelligent Competition

Publications

Book

Mind Between Vibrations (عقلٌ بين الذبذبات)

Nibras Abo Alzahab

Dar Al-Uns · 2025

A foundational book in Arabic exploring the human mind, brain waves, and the intersection of biology with modern technology.

Book Neuroscience Arabic Literature Science Communication
Journal Article

Auditory evoked potential electroencephalography-biometric dataset

Nibras Abo Alzahab, Angelo Di Iorio, Luca Apollonio, Muaaz Alshalak, Alessandro Gravina, Luca Antognoli, Marco Baldi, Lorenzo Scalise, Bilal Alchalabi

Data in Brief · 2024-10-28

This dataset provides over 240 EEG recordings from 20 subjects to assess EEG signals for biometric authentication.

EEG Biometrics Auditory Stimuli Authentication BCI Resting State
Conference Paper

Decentralized Biometric Authentication based on Fuzzy Commitments and Blockchain

Nibras Abo Alzahab, Giulia Rafaiani, Massimo Battaglioni, Franco Chiaraluce, Marco Baldi

2024 6th International Conference on Blockchain Computing and Applications (BCCA) · 2024

Proposes a novel blockchain-based biometric authentication protocol leveraging fuzzy commitment schemes.

Blockchain Biometrics Authentication Fuzzy Commitment Decentralized Identity
Journal Article

BiometricIdentity dApp: Decentralized biometric authentication based on fuzzy commitment and blockchain

Nibras Abo Alzahab, Giulia Rafaiani, Massimo Battaglioni, A Cavalli, Franco Chiaraluce, Marco Baldi

SoftwareX · 2024

Presents a decentralized application (dApp) implementation for secure biometric authentication.

dApp Blockchain Biometrics Smart Contracts Solidity
Preprint

When Does Your Brain Know You? Segment Length and Its Impact on EEG-based Biometric Authentication Accuracy

Nibras Abo Alzahab, Lorenzo Scalise, Marco Baldi

arXiv preprint · 2024

Study investigating how EEG segment length affects biometric authentication accuracy.

EEG Biometrics Authentication Machine Learning
Conference Paper

Automatic Reconstruction of Noisy EEG Channels with Transformer-Based Architectures

Nibras Abo Alzahab, N Alshawa

2024 10th International Conference on Computing, Engineering and Design · 2024

Proposes a Transformer-based architecture for automatically reconstructing corrupted EEG channels.

Transformers EEG Deep Learning Signal Reconstruction
Workshop Paper

MVP: Multimodal Emotion Recognition based on Video and Physiological Signals

V Strizhkova, H Kachmar, H Chaptoukaev, R Kalandadze, N Kukhilava, N Abo Alzahab, et al.

7th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) · 2024

Explores multimodal approaches combining video and physiological data for emotion recognition.

Emotion Recognition Multimodal Deep Learning Physiological Signals
Conference Paper

Effect of Auditory Stimuli on Electroencephalography-based Authentication

Nibras Abo Alzahab, Angelo Di Iorio, Marco Baldi, Lorenzo Scalise

2022 IEEE International Conference on Metrology for Extended Reality, AI and Neural Engineering · 2022

Experimental evaluation showing auditory stimulus improves EEG-based biometric authentication by 9.27%.

EEG Biometrics Auditory Stimuli Authentication
Journal Article

Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review

N Abo Alzahab, L Apollonio, A Di Iorio, M Alshalak, S Iarlori, F Ferracuti, et al.

Brain Sciences · 2021

A comprehensive systematic review of hybrid Deep Learning methods in BCI systems.

Deep Learning BCI Systematic Review EEG
Conference Paper

Efficient feature selection for electroencephalogram-based authentication

Nibras Abo Alzahab, Marco Baldi, Lorenzo Scalise

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) · 2021

Investigates optimal features to enhance accuracy and efficiency of EEG-based biometric systems.

EEG Feature Selection Authentication Biometrics

Community & Memberships

NIBRAS Center

Founder

Neural Interface and Brain Research for Arabic Scientific Sharing. Building the first comprehensive Arabic-language resource for neuroscience, brain-computer interfaces, and neural engineering.

Visit Website

Syrian Research and Publication Society

Founding Member

Supporting Syrian researchers worldwide through publication assistance, networking opportunities, and collaborative research initiatives.

Visit Website

Professional Memberships

IEEE Engineering in Medicine and Biology Society

Active Member Since 03/2022

IEEE Brain Society

Active Member Since 03/2022

Syrian Research and Publication Society (SRPS)

Founding Member Since 09/2019

Brain-Computer Interface Society

Member Since 01/2019

Awards & Recognition

Doctor Europaeus Title

Polytechnical University of Marche

2025

Ten Outstanding Young Persons - Medical Innovation

Junior Chamber International (JCI) - Syria

2020

First Prize - Matlab ECG Processing Challenge

International Competition

2021

First Place - Albassel Fair

Albassel Fair for Creativity and Innovation

2018

First Place - Bright Inventors Competition

Bright Inventors

2018

First Place - Wikilogia Hackathon

Wikilogia AI Competition

2018

Latest Articles

brain-computer-interfaces

The Internet of Minds: How IoT is Revolutionizing Brain-Computer Interfaces

Imagine controlling your smart home just by thinking, or having a wearable device that alerts your doctor moments before a neurological event occurs. Discover how the fusion of the Internet of Things (IoT) and Brain-Computer Interfaces (BCI) is moving from science fiction to everyday reality, unlocking new frontiers in healthcare, neurorehabilitation, and smart living.

Apr 4, 2026 5 min
Ethical AI

Ethical AI in Healthcare: Principles for Responsible Innovation

Exploring the fundamental principles that should guide AI development in healthcare settings, ensuring patient safety and data privacy.

Apr 2, 2026 5 min

Get In Touch

Let's collaborate on your next AI or biomedical project

Location

Ancona, Italy

Open to Collaboration

  • Research collaborations
  • Postdoctoral positions
  • Consulting projects
  • Speaking engagements