Nader Bakir received the master's degree in applied mathematics from the Faculty of Science, Lebanese University, Beirut, Lebanon, in 2003, and the Ph.D. degree in signal and image processing from the National Institute of Applied Sciences of Rennes, Institute of Electronics and Telecommunications of Rennes, Rennes, France, in 2020. He is currently an assistant professor in the Faculty of Science at Beirut Arab University, Lebanon. His research focuses on Deep Learning and image processing fields. ERP Odoo Certified Functional Consultant. Data analyst expert in SPSS, Power BI and Python. Team leader with 5+ years of experience in the Software Development Industry.

International Journals (8)

1. S. El Nemar, N. Bakir, F. Gehshan, K. Samrouth, D. Vrontis, “Optimizing Airline Services: Leveraging Data-Driven Strategies for Enhanced Customer Satisfaction”, Journal of Asia Business Studies, 2025.

2. F. Makarem, R. E. Chall, A. E. Samhat, K. Samrouth, and N. Bakir, “ Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification,” Engineering Reports 8, no. 1 (2026): e70558, https://doi.org/10.1002/eng2.70558.

3. K. Samrouth, Nader Bakir,” BTFA: Behavioral Two Factor Authentication For IAM Systems”, accepted in Mobile Networks and Applications Journal, 2026.

4. Musab Saeed, Khouloud Samrouth, Prathiba Prasad, Vijay Desai, Al-Moutassem Billah Khair, Nader Bakir ,“ CognidentHisto: Empowering Oral Histology Education with AI- Powered Mobile Application for Oral Histology Microscopic Image Segmentation and Dataset Augmentation”, Culture Scientific – China, Journal.

5. K. Samrouth, Souha Nazir, Nader Bakir, Nadine Khodor, “Dual CNN for Photovoltaic Electroluminescence images MicroCrack Detection”, Array 2025.

6. M. Asdaque, K. Samrouth, N. Bakir “A Survey on Malware Attacks in Industrial Air-Gap Systems”, International Journal of Information Security, 2025.

7. Al-Masri, B., Bakir, N., El-Zaart, A., Samrouth, K., “Dual Convolutional Malware Network (DCMN): An Image-Based Malware Classification Using Dual Convolutional Neural Networks”, Electronics 2024.

8. N. Bakir, W. Hamidouche, Member IEEE, S. Fezza, K. Samrouth, O. Déforges, “Light Field Image Coding Using VVC standard and View Synthesis based on Dual Discriminator GAN”, IEEE Transactions on Multimedia, 2020.

International Conferences (24)

1. Nader Bakir et al. “A Data-Driven Empirical Study of Enterprise Resource Planning (ERP) systems”, accepted in ICE – the International Conference on Engineering, Technology, and Innovation (ICE IEEE/ITMC), Portugal 2026.
2. Nader Bakir et al. “Explainable Odoo's Retail Demand Forecasting Based on Seasonality Using Bi-Directional XML-RPC Interface” accepted in ICONET 2026, Beirut.
3. H. Safarjalani, A. Raad and N. Bakir, "A Gaussian-Based Approach to Video Representation," 2025 International Conference on Computer and Applications (ICCA), Bahrain, Bahrain, 2025, pp. 1-4, doi: 10.1109/ICCA66035.2025.11430871.
4. F. Kassar, Nader Bakir et al., "Data-Driven Analysis of Factors Influencing Employee Performance in the Lebanese Construction Industry," 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), Cairo, Egypt, 2026, pp. 1-5, doi: 10.1109/ICAISET66439.2026.11541527.
5. “A Data-Driven Empirical Study of Enterprise Resource Planning (ERP) systems”, accepted in Arab Conference on Information, Communication, and Space Technology (ICE 2026), Egypt.
6. R. Khoder, K. Samrouth, P. Prasad, S. A. Ali and N. Bakir, "A Survey on Recent Federated Learning Techniques in Healthcare: Challenges and Future Trends," 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), Cairo, Egypt, 2026, pp. 1-4, doi: 10.1109/ICAISET66439.2026.11542194.
7. Samira El Kassar, Nader Bakir, Khouloud Samrouth, Maya Dawood, Rida El Chall, 'Adaptive Client Selection For MRI Reconstruction in Federated Learning', Submitted on 2025 International Symposium on Networks, Computers and Communications (ISNCC), France, August 2025.
8. “AI-Generated Code in Computer Science Education: Boon or Bane?”, Accepted in 2025 International Conference on Computer and Applications, Bahrain.
9. Ezzeddine Abou Zahr, Sara Jalloul, Nader Bakir, Khouloud Samrouth, 'Simulating a Drone Data Breach: Legal and Technical Incident Response Guided by NIST 800-61', 2025 Sixth International Conference on Advances in Computational Tools for Engineering Applications, July 2025.
10. Samira Al kassar, Nader Bakir, Khouloud Samrouth, Maya Dawood, Rida El Chall, “Adaptive Client Selection For MRI Reconstruction in Federated Learning”, Submitted, 2025 International Symposium on Networks, Computers and Communications (ISNCC), Paris, France.
11. “Distributed Power Analytics: Leveraging Federated Harris Hawks Optimization for Confidential Energy Prediction”, accepted in 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), Cairo.
12. E. Sokhn, K. Samrouth, N. Bakir, “Quantum-Inspired Federated Learning Inference Attacks Prevention”, International Symposium on Digital Security and Forensics (ISDFS), Boston, Massachusetts, USA, 2025.
13. K. Berbery, K. Samrouth, N. Bakir, M. Dawoud, “Cyberbullying Dataset Collection for an Enhanced Automatic Detection on Twitter Using Deep Learning Techniques”, International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, 2025.
14. B. Al-Masri, N. Bakir, K. Samrouth, and A. Zaart, “Hybrid Residual Attention Network for Image Classification”, IEEE International Conference on Control, Automation, and Instrumentation (IC2AI), Lebanon, 2025.
15. H. Morsel, N. Bakir, K. Samrouth, P. Vadim, “GAN for MRI Reconstruction in Federated Learning”,

IEEE International Conference on Smart Systems and Power Management (IC2SPM), Lebanon, 2024.

16. G. Francis, M. Sanan, M. Hatoum, N. Bakir, K. Samrouth, “Detecting Advanced Persistent Threats on a Network Using Machine Learning”, IEEE International Conference on Smart Systems and Power Management (IC2SPM), Lebanon, 2024.
17. R. Louis, N. Bakir, K. Samrouth, V. Pak, “Towards Secure Federated Learning: Enhancing Privacy and Robustness in Decentralized AI Systems”, International Conference on Computer and Applications (ICCA), Egypt, 2024.
18. N. Bakir, A. Samrouth, K. Samrouth, “PSO-GA Based Federated Learning For Energy Consumption Prediction in Smart Buildings”, International Conference on Micloelectronics, Artificial Intelligence Track, Abu Dhabi, 2024.
19. W. Rayes, K. Samrouth, N. Bakir, “Using Blockchain and Vazka Authentication for the Security of Smart Home Devices”, Arab ICT Conference on Digital Transformation for Sustainable Infrastructure, Bahrain, 2024.
20. K. Samrouth, O. Deforges, W. Hamidouche, N. Boeuve, N. Bakir, “Ensemble Learning for DeepFake Video Detection”, International Symposium on Digital Security and Forensics, San Antonio, Texas, USA, 2024.
21. N. Bakir, W. Hamidouche, O. Déforges, K. Samrouth, and M. Khalil, “Light Field Image Coding Using Dual Discriminator Generative Adversarial Network And Vvc Temporal Scalability”, IEEE International Conference on Multimedia and Expo (ICME), 2020. Nominated for the best paper award.
22. N. Bakir, S. A. Fezza, W. Hamidouche, K. Samrouth, O. Déforges, "Subjective Evaluation of Light Field Image Compression Methods based on View Synthesis", European Signal Processing Conference (EUSIPCO), Coruna, Spain, September 2019.
23. N. Bakir, W. Hamidouche, O. Déforges, K. Samrouth, S. A. Fezza and M. Khalil, "RDO-Based Light Field Image Coding Using Convolutional Neural Networks and Linear Approximation," Data Compression Conference (DCC), pp. 554-554, Snowbird, UT, USA, March 2019.
24. N. Bakir, W. Hamidouche, O. Déforges, K. Samrouth and M. Khalil, "Light Field Image Compression Based on Convolutional Neural Networks and Linear Approximation," IEEE 25th IEEE International Conference on Image Processing (ICIP), pp. 1128-1132, Athens, Greece, October 2018.

Since Spring 2022:

• CMPS453: Artificial Intelligence

• CMPS345: Discrete Sructures II

• CMPS441: Fundamentals of Algorithms

• CMPS248: Discrete Sructures I

• CMPS342: Database Systems

• CMPS456 Topics in Computer Science (Semantic Web)

• CMPS347: Data Structures

• CMPS327: Image Processing

• CMPS241: Introduction of Programming

• CMPS006: AI for All

• CMPS452: Introduction to data mining

• CMPS470: Deep Learning

• CMPS344: Software Engineering

• CMPS242: OOP

• CMPS354: Applied Machine Learning for Cybersecurity

• CMPS343: Computer Organization & Architecture

• CMPS244: Digital Circuits