Khouloud Samrouth, born on November 11, 1988, in Lebanon, is a highly accomplished academic and researcher specializing in telecommunication engineering, image and signal processing, and artificial intelligence. She holds a PhD from INSA of Rennes, France, and the Lebanese University and serves as an Assistant Professor and the coordinator of the MSc Program at Arab Open University, Lebanon. With extensive teaching experience across multiple universities, she has a prolific research publication record and leads research on deepfake cyberthreat detection. A certified Huawei ICT Academy Instructor, she possesses advanced skills in AI programming and various programming languages.
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Since
2017
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Assistant
professor of Computer Science at Arab Open University, Lebanon Branch.
(BS/MS)
- Programming courses
(Java, Python, C#, Web Programming, Parallel Programming)
- Artificial
Intelligence courses (Machine Learning and Deep Learning in Cybersecurity).
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Android Mobile
Programming
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Advanced Networking
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Digital Forensics
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MSc Thesis Supervision
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2023
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Co-direction
of Thesis, UTT, France
Wi-Fi CSI-based Activity detection using Deep Learning with
Advanced Decision Mechanism
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2023
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Research
Group Chair
Arab Open University – Deanship – Kuwait
Artificial Intelligence, Machine Learning and Natural Language
Processing
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Since
2022
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Consortium Member in International
Symposium on Digital Forensics and Security (ISDFS)
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Since
2021
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Research Team Lead in
collaboration with IETR, INSA of Rennes, France
DeepFake
CyberThreat Detection using Deep Learning
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Since
2021
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Member Peer Reviewer for general and
specialized journals
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Engineering
Applications of Artificial Intelligence
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Asian Journal of
Advanced Research and Reports
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Journal of Advances in
Mathematics and Computer Science
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2015-2018
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Co-direction
of Thesis, INSA of Rennes, France
Light Field Image Compression using Deep Learning
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2017-2019
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Assistant
professor of Telecommunication Engineering, Notre Dame University
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Machine Vision
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Python
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Matlab
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Since
2014
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Assistant
professor of Telecommunication Engineering, Faculty of Engineering, Lebanese
University
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Electronic Linear
Systems
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Python
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Deep Learning for IoT
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Since
2014
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Assistant
professor of Management Information Systems, Faculty of Business
Administration, Lebanese University
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Advanced
Telecommunication Management Systems
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Mathematics,
Statistics,
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E-Business, E-Marketing
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2014-2017
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Assistant
professor of Computer Science, Libano-French University
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Image processing
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2012-
2014
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Lab
Assistant at INSA of Rennes, France
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C, C++
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2012-
2014
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Lab
Assistant at Doctoral School of Science and Technology, Lebanese University,
Lebanon
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Matlab
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2012-2014
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Trainer at Campus Numérique de la Francophonie CNF
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Report and Papers writing with LaTeX
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Design and development of online courses.
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Scientific writing and online publications management
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International
Conferences
- 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.
- 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.
- G. Kaddissi, M. Hatoum, K. Samrouth, A. Attar “Securing
Networks Against ICMP Covert Channels: Detection and Countermeasures”, submitted to the
5th IEEE Middle East & North Africa COMMunications Conference, 2024.
- A. Yassine, M. Hatoum, K. Samrouth, A. Attar “Securing the
Internet of Things: A Novel Hashing-Based Approach for IoT Device
Connection Security”,
submitted to the 5th IEEE Middle East & North Africa
COMMunications Conference, 2024.
- 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.
- M. Al Abed, M. El Hajj, K. Samrouth,
“Enhancing IoT Device Security Through Digital Twins and Lightweight
Cryptography: A Ditto-TinyJAMBU Approach”, International conference on
Innovative Technologies in Engineering and Business, 2024.
- A. Hodroj, M. Hatoum, K. Samrouth, A. Attar
“Securing the Internet of Things: A Novel Hashing-Based Approach for IoT
Device Connection Security”, International conference on Innovative
Technologies in Engineering and Business, 2024.
N. Bakir, A. Samrouth, K. Samrouth, “PSO-GA
Based Federated Learning For Energy Consumption Prediction in Smart
Buildings”, accepted for publication in the International Conference on
Micloelectronics, Artificial Intelligence Track, Abu Dhabi, 2024- A. SayedAhmad, K. Samrouth, “TANABU: An
end-to-end Quantum-based AI Platform for Power Grid Maintenance
Prediction”, submitted to 4th
International Conference on Artificial Intelligence, Automation and High
Performance Computing (AIAHPC), 2024.
- W. Rayes, K. Samrouth, N. Bakir, “Using
Blockchain and Vazka Authentication for the Security of Smart Home
Devices”, accepted for publication in Arab ICT Conference on Digital
Transformation for Sustainable Infrastructure, Bahrain, 2024.
- K. Samrouth,
O. Deforges, W. Hamidouche, N. Boeuve, N. Bakir, “Ensemble Learning for
DeepFake Video Detection”, submitted to International Symposium on
Digital Security and Forensics, San Antonio, Texas, USA, 2024.
- H. Harb, K. Samrouth, M. Nassar, “Revisiting
Attack Trees for Modeling Machine Pwning in Training Environments”, International
Conference on Intelligent Cybersecurity, USA, 2023.
- Z. Fneish, M. El Hajj, K. Samrouth,
"Survey on IoT Multi-Factor Authentication Protocols: A Systematic
Literature Review", International Symposium on Digital Security
and Forensics, Tennesse, USA, 2023.
- A. Berjawi, K. Samrouth, O. Deforges,
"Optimization of DeepFake Video Detection Using Image
Preprocessing", International Conference on Advances in
Computational Tools for Engineering Applications, Beirut, Lebanon, 2023.
- A. Tawil, K. Samrouth, "IEWS: a Free
Open Source Intelligent Early Warning System Based on Machine
Learning", International Symposium on Digital Security and
Forensics, Tennesse, USA, 2023.
- K. Samrouth,
B. Abdelaziz, “Optimization of Darknet-19 model for the early diagnosis of
Covid-19 based on CXR images”, IEEE International Conference on Smart
Systems and Power Management (IC2SPM), 2022.
- 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.
- 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.
- 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.
- 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.
- K. Samrouth, O. Deforges,
Y. Liu, M. Khalil, W. Falou, " A Joint 3D Image Semantic Segmentation
and Scalable Coding Scheme with ROI Approach," IEEE Visual
Communications and Image Processing (IEEE-VCIP), Malta, 7-11 December 2014.
- Y. Liu, O. Deforges, F. Pasteau, K.
Samrouth, "One pass quality control and low complexity RDO in a
quadtree based scalable image coder," IEEE Second International
Conference on Image Information Processing (ICIIP), pp.187-192,
India, 9-11 December 2013.
- Y. Liu, O. Deforges, F. Pasteau, K.
Samrouth, "Low complexity RDO model for locally subjective
quality enhancement in LAR coder," IEEE International Conference
on Signal and Image Processing Applications (ICSIPA), pp.176-181,
Malaisie, 8-10 October 2013.
- K. Samrouth, O. Deforges,
Y. Liu, F. Pasteau, M. Khalil, W. Falou, "Efficient depth map
compression exploiting correlation with texture data in multiresolution
predictive image coders," IEEE International Conference on Multimedia
and Expo Workshops (ICMEW), 2013, pp.1-6, San Jose, 15-19 July 2013.
- K. Samrouth,
O. Deforges, F. Pasteau, "Quality
constraint and rate-distortion optimization for predictive image coders", Proceedings SPIE - Image
Processing: Algorithms and Systems XI 8655, pp.1–9, San Francisco,
February 2013.
ü
International
Journals (5)
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B. Masri, A. Zaart, N. Bakir, K. Samrouth, "Dual Convolutional Malware Network DCMN: An Image-Based Malware Classification using Dual CNN", Electronics, 2024.
· K. Samrouth, P. Husseini, O. Deforges, "Siamese
Network-Based Detection of DeepFake Impersonation Attacks", submitted to
ACM Transactions on Multimedia Computing, Communications, and Applications, 2024.
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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.
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K. Samrouth,
O. Deforges, Y. Liu, M. Khalil, W. Falou, "Autofocus on Depth of Interest
for 3D image coding", Journal of Electrical and Computer Engineering, 2017.
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Y. Liu, O. Deforges, K. Samrouth, " LAR-LLC:
A Low Complexity Multiresolution Lossless Image Codec ", IEEE
Transactions on Circuits and Systems for Video Technology, no 9, 2014.
