Anthony Tannoury

Biography

Dr. Anthony Tannoury completed his PhD in Wireless Multimedia Sensor Networks (WMSNs) and 3D scene reconstruction in December 2018 from the Femto-St laboratory at the University of Franche-Comté (UFC) in Belfort, France. He earned his MS in Multimedia and Networking Engineering from Antonine University (UA) in Hadat–Baabda, Lebanon, in 2012.

Dr. Tannoury currently holds a full-time position as an Assistant Professor at UA and has been a researcher at the TICKET Lab since 2014. He also serves as the Dean’s Delegate of the Faculty of Engineering (FOE) at UA’s Campus of Nabi Ayla–Zahle. His research primarily focuses on WMSNs, 3D scene reconstruction, GPS-based mobile applications with network optimization, and 3D eHealth Mixed Reality.

As an academic advisor and senior projects supervisor, Dr. Tannoury provides guidance in various fields, including: Augmented Reality (AR), 2D/3D games, 3D simulations, Virtual Reality (VR), Mixed Reality, interactive Internet of Things (IoT), Stereo Vision, EHealth, Mobile Applications, and User Experience. He also offers beginner and advanced courses on topics such as Mobile Applications, 3D Modeling, Web Design, Web Development, User Experience (UX), User Interface (UI), Infographics, Image Editing, Vector Arts, Multimedia Programming, Microsoft Office tools, and 2D/3D Animation. In addition, he has been involved as member and director in many collaborative research projects funded by the Agence Universitaire de la Francophonie (AUF) and CEDRE. Dr. Tannoury also serves as a part-time trainer at UA’s Center of Continuing Education (CCE).

Research Outline

Dr. Tannoury’s research focuses on Wireless Multimedia Sensor Networks (WMSNs) and their application in indoor and outdoor surveillance, stereovision, and 3D scene reconstruction. His work covers scenes of various sizes applications, including E-health, habitat monitoring, military battlefield surveillance and assessment, agriculture, and more. He applies 3D scene reconstruction techniques and virtual/augmented reality games in the context of physical therapy and live mixed reality healthcare. Additionally, he conducts research on GPS-based mobile applications for optimizing public transportation services.

List of Publications (in the past 5 years)

1. Human pose estimation for physiotherapy following a car accident using depth-wise separable convolutional neural networks.
A Tannoury, EM Choueiri, R Darazi
Advances in transportation studies volume 59
2023, Journal

2. PCT: A platform that promotes and improves collective taxi access.
R Darazi, EM Choueiri, MB Saleh, E Doumith, A Tannoury, A Sekaki, AH Al Hassani
Advances in Transportation Studies volume 57
2022, Conference Paper

3. Artificial Intelligence in Music Composition
M Alaeddine, A Tannoury
Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings 17
2021, Conference Paper

4. Wireless multimedia sensor network deployment for disparity map calculation
A Tannoury, R Darazi, A Makhoul, C Guyeux
Communications Conference (MENACOMM), IEEE Middle East and North Africa
2018, Conference Paper

Chady Abou Jaoude

List of Publications (in the past 5 years)

1. K-mean Clustering: a case study in Yvelines, Île-de-France
14th International Conference on Computational Intelligence and Communication Networks (CICN)
Roxane Elias Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2022, Conference Paper

2. A No-Reference and Full-Reference image quality assessment and enhancement framework in real-time
Multimedia Tools and Applications
Zahi Al Chami, Chady Abou Jaoude, Richard Chbeir, [...], Mansour Naser Alraja
2022, Journal

3. AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring
Journal of King Saud University - Computer and Information Sciences
Kamila Koteish, Hassan Harb, Mohamed Dbouk, [...], Chady Abou Jaoude
2022, Journal

4. A Multi-Tier Data Prediction Mechanism for the Internet of Things Networks
Wireless Personal Communications
Hassan Harb, Chady Abou Jaoude, David Laiymani, [...], Layla Tannoury
2022, Journal

5. Predicting fire brigades’ operations based on their type of interventions
International Wireless Communications and Mobile Computing (IWCMC)
Roxane Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2022, Conference Paper

6. Machine Learning for Predicting Firefighters’ Interventions Per Type of Mission
8th International Conference on Control, Decision and Information Technologies (CoDIT)
Roxane Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2022, Conference Paper

7. Anomalies and Breakpoint Detection for a Dataset of Firefighters’ Operations During the COVID-19 Period in France
Roxane Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2022, Book Chapter

8. A Bi-Level Data Lowering Method to Minimize Transferring Big Data in the Sensors of IoT Applications
Karbala International Journal of Modern Science
Ali Kadhum M. Al-Qurabat, Ali Kadhum Idrees, Abdallah Makhoul, Chady Abou Jaoude
2022, Journal

9. Forecasting the Number of Firemen Interventions Using Exponential Smoothing Methods: A Case Study
Roxane Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2022, Book Chapter

10. Fighting Against COVID-19: Who Failed and Who Succeeded?
Journal of Computer and Communications
Hussein Baalbaki, Hassan Harb, Ali Jaber, Chady Abou Jaoude, Layla Tannoury
2022, Journal

11. LOGO: An Efficient Local and Global Data Collection Mechanism for Remote Underwater Monitoring
EURASIP Journal on Wireless Communications and Networking
Hussein Baalbaki, Hassan Harb, Ameer Kwekha Rashid, Ali Jaber, Chady Abou Jaoude, Chameseddine Zaki, K. tout
2022, Journal

12. A supervised and unsupervised image quality assessment framework in real-time
Zahi Al Chami, Chady Abou Jaoude, Richard Chbeir
2022, Book Chapter

13. An Orchestration-Based Mechanism for Sampling Adaptation in Sensing-Based Applications
Wiley, IET Smart Cities
Hussein Baalbaki, Hassan Harb, Chady Abou Jaoude, Ali Jaber
2021, Journal

14. Time Series Forecasting for the Number of Firefighters Interventions
Roxane Mallouhy, Christophe Guyeux, Chady Abou Jaoude, Abdallah Makhoul
2021, Book Chapter

15. Using Deep Learning for Object Distance Prediction in Digital Holography
International Conference on Computer, Control and Robotics (ICCCR)
Raphaël Couturier, Michel Salomon, Elie Abou Zeid, Chady Abou Jaoude
2021, Conference Paper

16. A cloud-based foundational infrastructure for water management ecosystem
5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
Rayane El Sibai, Jacques Bou abdo, Chady Abou Jaoude, Raja Chiky
2020, Conference Paper

17. Data Reduction and Cleaning Approach for Energy-saving in Wireless Sensors Networks of IoT
16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Ali Kadhum Idrees, Chady Abou Jaoude, Ali Kadhum M. Al-Qurabat
2020, Conference Paper

18. A Weighted Feature-Based Image Quality Assessment Framework in Real-Time
Zahi Al Chami, Chady Abou Jaoude, Bechara AL Bouna, Richard Chbeir
2020, Book Chapter

19. Efficient Anomaly Detection on Sampled Data Streams with Contaminated Phase I Data
Internet Technology Letters
Rayane El Siba, Jacques Bou abdo, Chady Abou Jaoude, Abdallah Makhoul
2020, Journal

20. Dictionary-Based DPCM Method for Compressing IoT Big Data
International Wireless Communications and Mobile Computing (IWCMC)
Ali Kadhum M. Al-Qurabat, Ali Kadhum Idrees, Chady Abou Jaoude
2020, Conference Paper

21. An energy-efficient data prediction and processing approach for the internet of things and sensing based applications
Peer-to-Peer Networking and Applications
Hassan Harb, Chady Abou Jaoude, Abdallah Makhoul
2020, Journal

22. Major earthquake event prediction using various machine learning algorithms
International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
Roxane Mallouhy, Chady Abou Jaoude, Christophe Guyeux, Abdallah Makhoul
2019, Conference Paper

23. Towards Efficient Data Sampling for Temporal Anomaly Detection in Sensor Networks
IEEE Middle East & North Africa COMMunications Conference
Rayane El Sibai, Chady Abou Jaoude, Yousra Chabchoub, Maurras Togbe
2019, Conference Paper

24. A Real-Time Multimedia Data Quality Assessment Framework
MEDES '19: 11th International Conference on Management of Digital EcoSystems
Zahi Al Chami, Bechara AL Bouna, Chady Abou Jaoude, Richard Chbeir
2019, Conference Paper

25. Correlation-Based Sensor Activity Scheduling Mechanisms for Wireless Sensor Networks
16th ACS/IEEE International Conference on Computer Systems and Applications
Ghina Saad, Hassan Harb, Chady Abou Jaoude, Ali Jaber
2019, Conference Paper

26. A Distributed Round-Based Prediction Model for Hierarchical Large-Scale Sensor Networks
15th International Conference on Wireless and Mobile Computing, Networking and Communications (WIMOB)
Ghina Saad, Hassan Harb, Chady Abou Jaoude, Ali Jaber
2019, Conference Paper

27. Serendipity-Aware Noise Detection System for Recommender Systems
Wissam Al Jurdi, Miriam ElKhoury Badran, Abdallah Makhoul
2019, Journal

28. SCCF Parameter and Similarity Measure Optimization and Evaluation
Wissam Al Jurdi, Chady Abou Jaoude, Miriam Badran, Abdallah Makhoul
2019, Book Chapter

29. A Distributed Processing Technique for Sensor Data Applied to Underwater Sensor Networks
15th International Wireless Communications and Mobile Computing Conference (IWCMC)
Mohamad rida Mortada, Abdallah Makhoul, Chady Abou Jaoude, David Laiymani
2019, Conference Paper

30. An Adaptive Sampling Technique for Massive Data Collection in Distributed Sensor Networks
15th International Wireless Communications and Mobile Computing Conference (IWCMC)
Ahmad Karaki, Abbass Nasser, Chady Abou Jaoude, Hassan Harb
2019, Conference Paper

31. Integrated Divide and Conquer with Enhanced k-means technique for Energy-saving Data Aggregation in Wireless Sensor Networks
15th International Wireless Communications and Mobile Computing Conference (IWCMC 2019)
Ali Kadhum Idrees, Ali Kadhum M. Al-Qurabat, Chady Abou Jaoude, Wathiq Laftah Al-Yaseen
2019, Conference Paper

32. Two Tier Data Reduction Technique for Reducing Data Transmission in IoT Sensors
15th International Wireless Communications and Mobile Computing Conference (IWCMC 2019)
Ali Kadhum M. Al-Qurabat, Chady Abou Jaoude, Ali Kadhum Idrees
2019, Conference Paper

33. A Real-Time Massive Data Processing Technique for Densely Distributed Sensor Networks
IEEE Access
Hassan Harb, Abdallah Makhoul, Chady Abou Jaoude
2018, Journal

34. Vision-Based Approach for Real-Time Hand Detection and Gesture Recognition
Rayane El Sibai, Chady Abou Jaoude, Jacques Demerjian
2018, Book Chapter

35. En-Route Data Filtering Technique for Maximizing Wireless Sensor Network Lifetime
14th International Wireless Communications and Mobile Computing Conference (IWCMC)
Hassan Harb, Abdallah Makhoul, Chady Abou Jaoude
2018, Conference Paper

36. Combining Compression and Clustering Techniques to Handle Big Data Collected in Sensor Networks
IEEE Middle East & North Africa COMMunications Conference
Hassan Harb, Chady Abou Jaoude
2018, Conference Paper

37. Smart-phone based system to monitor walking activity: MHealth solution
IEEE Middle East and North Africa Communications Conference (MENACOMM)
Rami Yared, Chady Abou Jaoude, Jacques Demerjian
2018, Conference Paper

38. Similarity measures for collaborative filtering recommender systems
IEEE Middle East and North Africa Communications Conference (MENACOMM)
Lamis Al Hassanieh, Chady Abou Jaoude, Jacques Bou abdo, Jacques Demerjian
2018, Conference Paper

39. Novel order preserving encryption scheme for wireless sensor networks
IEEE Middle East and North Africa Communications Conference (MENACOMM)
Elie Antonios Khoury, Maguy Medlej, Chady Abou Jaoude, Christophe Guyeux
2018, Conference Paper

40. Vision-Based Approach for Real-Time Hand Detection and Gesture Recognition: Best Studies from the 2017
International Conference on Computer and Applications, Dubai, UAE
Rayane El Sibai, Chady Abou Jaoude, Jacques Demerjian
2018, Book Chapter

Charbel El Gemayel

List of Publications (in the past 5 years)

1. Automated Face Detection and Control System Using Computer Vision based Video Analytics to Avoid the Spreading of COVID-19
International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
Charbel El Gemayel, Kabalan Chaccour, Joseph El Gemayel
2021, Conference Paper

Joseph Al Asmar

Biography

Dr. Joseph Al Asmar completed his PhD in Automatic and Control Systems Engineering from the University of Technology of Belfort-Montbéliard (UTBM ) in France. He also obtained a Master’s degree in Mechatronics from the Holy Spirit University of Kaslik (USEK) and a Master’s degree in Physics from the Lebanese University (LU) in Lebanon.

Currently, Dr. Al Asmar serves as an Assistant Professor and Spokesperson for quality assurance matters at the Faculty of Engineering (FOE) at Antonine University (UA). He has previously held positions as a university Lecturer at the Saint Joseph University (USJ) Faculty of Engineering and the University of Balamand (UOB) Faculty of Technology, both renowned institutions in Lebanon.

Dr. Al Asmar has a rich academic background, having previously served as an instructor at the UTBM in France. He has also worked as a project consultant for a national project with Assystem and General Electric in France, focusing on cogeneration and waste-to-energy systems.

Throughout his career, Dr. Al Asmar has supervised numerous PhD and Master’s theses in the fields of green energy and waste-to-energy, both in Lebanon and France. He has also provided guidance as an advisor to the Minister of Environment on matters related to green energy, waste-to-energy applications, and green technologies. Additionally, since 2008, Dr. Al Asmar has worked as a consultant on various industrial projects.

As an accomplished researcher, Dr. Al Asmar has authored several international publications in the energy and environment field. His research primarily revolves around optimizing and integrating Cogeneration systems (CHP) into the electric grid. He specializes in decision-making techniques concerning the environmental cost, economic cost, and polluting emissions of energy systems. Furthermore, he has conducted extensive research on power management optimization based on environmental and economic constraints and costs. Waste management and valorization are also key areas of his expertise.

Research Outline

Dr. Al Asmar’s research focuses on several key areas within the field of energy and environmental engineering. His work encompasses the following research topics: combine heat and power (CHP) – Cogeneration systems, waste-to-energy and biomass cogeneration, green and renewable energy, and green systems optimization.

List of Publications (in the last 5 years)

1. Economic and Environmental Benefits of Waste Incinerators Comparing to Conventional Electric Generators
Joseph AL Asmar
2022, Journal

2. Review of cogeneration and trigeneration systems
Journal of Engineering Research
Chawki Lahoud, Joseph AL Asmar, Marwan Brouche
2020, Journal

3. Multi-Objective Optimization for CCHP Systems Based on Regressions Considering Economic and Environmental Aspects
International Journal of Scientific & Technology Research
Chawki Lahoud, Marwan Brouche, Jad Dakroub, Joseph AL Asmar
2020, Journal

4. Models of performance of a CCHP system integration
Chawki Lahoud, Joseph AL Asmar, Marwan Brouche
2019, Conference Paper

5. Technology, optimization and decision-making review for cogeneration and trigeneration systems
Chawki Lahoud, Joseph AL Asmar, Marwan Brouche
2018, Journal

6. Decision making based on data analysis and optimization algorithm applied for cogeneration systems integration into a grid
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES18
Joseph AL Asmar, Chawki Lahoud, Marwan Brouche
2018, Conference Paper

Kabalan Chaccour

Biography

Dr. Kabalan Chaccour obtained his PhD in Engineering Sciences from the University of Technology of Belfort-Montbéliard (UTBM), France, in 2017. Prior to that, he completed his MS in Computer and Communications Engineering at Antonine University (UA), Lebanon, in 2005.

With over 8 years of professional experience in various engineering disciplines, Dr. Chaccour has established himself as a highly skilled individual. Alongside his career, he served as a part-time Lecturer of embedded electronics at UA’s Department of Computer and Communications Engineering (DCCE). In 2013, he transitioned to a full-time Lecturer and academic advisor role. During his PhD studies, Dr. Chaccour focused on developing ambient sensors for the early detection of elderly fall incidents. Currently, he holds a full-time position as an Assistant Professor and serves as the Head of the DCCE. He also takes on the responsibilities of being the program coordinator for the telecommunications and networks major and the course coordinator for the embedded electronics track. Additionally, he leads the Final Year Projects (FYP) committee.

Dr. Chaccour’s research interests revolve around Ambient Assisted Living (AAL) for elderly people, ambient sensor networks for fall detection and prediction, rehabilitation robotics, and various e-health applications. His expertise and contributions have led him to become a member of the International Society for Gerontechnology (ISG) and an active reviewer for the IEEE Sensor journal, demonstrating his commitment to scholarly collaboration and the advancement of research in the field.

Research Outline

The integration of information technology has had a significant impact on various domains, including healthcare. In particular, many eHealth applications have become increasingly prevalent in daily life, reshaping the delivery of care . The objective of this research is to synergize effective IT practices with robust medical evidence to ensure the provision of high-quality patient care. The primary focus of this outlined research is to design and develop a comprehensive eHealth system that encompasses data collection, processing, and analysis of health parameters. The ultimate goal is to generate valuable insights within the specific application domain under question.

List of Publications

1. SleepPal: A sleep Monitoring System for Body Movement and Sleep Posture Detection
ACM 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE)
Ali Ibrahim, Kabalan Chaccour, Amir Hajjam El Hassani, Emmanuel Andres
2023, Conference Paper

2. Design and Implementation of a Data Stream Anonymization Core on FPGA
7th International Conference on Cryptography, Security and Privacy (ICCSP 23)
Bilal Moussa, Kabalan Chaccour, Mohamad Mroue
2023, Conference Paper

3. Hardware Implementation of the Precision Time Base Technique for Digital Sampling Oscilloscopes
25th International Conference on Digital Signal Processing and its Applications (DSPA23)
Bilal Moussa, Kabalan Chaccour, Rachid Bouyekhf
2023, Conference Paper

4. Fall Detection Algorithm using Body Angle for Accurate Classification of Falls and ADLs
International Conference on e-Health and Bioengineering (EHB)
1-4 A Ibrahim, K Chaccour, G Badr, AH El Hassani
2021, Conference Paper

5. Automated Face Detection and Control System Using Computer Vision based Video Analytics to Avoid the Spreading of COVID-19
International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
Charbel El Gemayel, Kabalan Chaccour, Joseph El Gemayel
2021, Conference Paper

Maroun Jneid

Biography

Dr. Maroun Jneid is an Assistant Professor of Information Systems and Engineering Innovation at the Faculty of Engineering (FOE) at Antonine University (UA) in Lebanon. With over 20 years of experience in the field of information systems and digital transformation in the MENA region, he has established himself as a knowledgeable and accomplished professional. Dr. Jneid hold a PhD in Information Science from Paris-8 University, further enhancing his expertise in the subject matter. His main research areas revolve around information systems and engineering innovation.

Research Outline

Dr. Jneid’s research aims to transform digital innovation into a systematic approach that assists organizations in developing more robust innovation strategies, making better-informed decisions, and enhancing overall performance in terms of effectiveness, efficiency, and consistency. The primary objective is to develop a comprehensive capacity maturity framework for digital innovation, including digital innovation strategy for business value, digital innovation capabilities, and experimenting with digital innovation enabling systems.

List of Publications (in the past 5 years)

1. Enhancing Decision-Making in Product Development: Predicting a medicine-based treatment for a new disease using a Multidimensional Neural Network
37th IBIMA Conference
M Saade, M Jneid, I Saleh
2021, Conference Paper

2. Enhancing Decision-Making in New Product Development: Forecasting technologies revenues using a Multidimensional Neural Network
Information Systems: 17th European, Mediterranean, and Middle Eastern Conference, EMCIS 2020, Dubai, United Arab Emirates, November 25–26, 2020, Proceedings 17
M Saade, M Jneid, I Saleh
2020, Conference Paper

3. Digital Transformation in Justice: Discussion of Challenges and a Conceptual Model for e-Justice Success
European Conference on Digital Government
Maroun Jneid, Saleh Imad, Rania Fakhoury
2019, Conference Paper

4. Predicting technology success based on patent data, using a wide and deep neural network and a recurrent neural network
IBIMA 33
M Saade, M Jneid, I Saleh
2019, Conference Paper

Michel Tannoury

Biography

Mr. Michel Tannoury is an accomplished computer engineer and a dedicated instructor at the Faculty of Engineering (FOE) at Antonine University (UA) in Lebanon. He possesses a strong passion for technology and education, and his expertise spans over 15 years in the field of education and more than 10 years in information technology project management. Throughout his career, Mr. Tannoury has made significant contributions to the industry and played a pivotal role in shaping the next generation of engineers.

With a diverse background in business management, systems and networks engineering, and information technology, Mr. Tannoury possesses a wide range of skills. He is particularly adept at IT strategy, cybersecurity, computer forensics, systems and networks, IoT, databases, and education management.

Mr. Tannoury is renowned for his dynamic teaching style, employing a hands-on approach to engage students and foster their critical thinking and problem-solving abilities. He consistently stays updated with the latest trends in technology and strives to deliver this knowledge to his students. Mr. Tannoury’s enthusiasm and dedication have been instrumental in creating a stimulating learning environment, where students are encouraged to explore new technologies and collaborate on innovative projects.

Rony Darazi

Biography

Dr. Rony Darazi holds an MS in Computer and Telecommunications Engineering from Antonine University (UA), Lebanon, and a PhD in Engineering Sciences from the Université catholique de Louvain (UCL), Belgium, which he obtained in 2011. His doctoral research, entitled “Towards a combining scheme for compression and watermarking for 3D stereo images,” showcased his expertise in the field. From 2006 to 2012, Dr. Darazi worked as a researcher at the ICTEAM Institute at UCL, and since 2010, he has been a member of the TICKET Lab at UA. Additionally, he served as the Dean of the Faculty of Engineering (FOE) at UA from 2012 to 2015.

Currently, Dr. Darazi holds a full-time position as a Professor at UA and has been responsible for the European Project Unit at the Office of International Relations (OIR) since 2017. He has also been a member of the Recognition and Equivalence Committee at the Ministry of Education and Higher Education (MEHE) since October 2019, and an international expert at the national French agency for quality assurance, HCÉRES. In addition, he served as an observer for the evaluation of several engineering programs with ABET. Dr. Darazi has been an IEEE senior member and the IEEE Computer Society Chair of the Lebanon Chapter since April 2019. Furthermore, he is a member of the scientific committee at the Order of Engineers and Architects of Beirut (OEA).

Dr. Darazi’s research interests encompass a wide range of subjects, including information security and digital watermarking, digital 2D and 3D image processing, sensor networks, and eHealth. In recognition of his contributions to the field, he received a research project grant from the National Council for Scientific Research in Lebanon (CNRS-L) in 2016. In 2017, he secured research funds from the Hubert Curien CEDRE program n°40283YK and the Agence Universitaire de la Francophonie (AUF) PCSI program. In 2018, the Research Council at tUA honored Dr. Darazi with a research award.

Dr. Darazi has actively participated in academic conferences and journals, both as a co-chair and a reviewer. He co-chaired the International Conference on Applied Research in Computer Science & Engineering (ICAR´15), sponsored by IEEE in 2015. Additionally, in 2009, he received the Best Paper Award, second prize, from the Digital Watermarking Alliance and the IS&T/SPIE International Conference on Media Forensics and Security XII.

Research Outline

The research work can be categorized into 2 main sub-axes: data processing and watermarking of data. The first one focuses on the development of techniques for data reduction, aggregation and compression, which are applied to various types of data, including images, scalar data, and more. The second one is centered around manipulating different signal types, such as images and PDF documents, to insert secret information. The primary purpose of this manipulation is to protect of the integrity and authenticity of the signal.

Furthermore, the research has also delved into innovative areas of application, including 5G networks, digital health (eHealth), wireless body sensor networks, and multimedia sensor networks. Additionally, the focus has been on research related to data hiding and protection in these areas of application.

List of Publications (in the last 5 years)

1. A Methodology for Emergency Calls Severity Prediction: From Pre-processing to BERT-Based Classifiers
Marianne Abi Kanaan, Jean-François Couchot, Christophe Guyeux, [...], Rony Darazi
2023, Chapter

2. Human pose estimation for physiotherapy following a car accident using depth-wise separable convolutional neural networks
Advances in Transportation Studies
Anthony Tannoury, Rony Darazi
2023, Journal

3. Power Allocation-Based NOMA and Underlay D2D Communication for Public Safety Users in the 5G Cellular Network
IEEE Systems Journal
Sarkis Moussa, Abderrahim Benslimane, Rony Darazi, Chunxiao Jiang
2023, Journal

4. Resource allocation for Public Safety Users in the 5G Cellular Network
IEEE Global Communications Conference (GLOBECOM)
Sarkis Moussa, Abderrahim Benslimane, Rony Darazi, Chunxiao Jiang
2022, Conference Paper

5. Using Deep learning for image watermarking attack
Signal Processing Image Communication
Makram Hatoum, Jean-François Couchot, Raphaël Couturier, Rony Darazi
2021, Journal

6. Normalized blind STDM watermarking scheme for images and PDF documents robust against fixed gain attack
Multimedia Tools and Applications
Makram Hatoum, Rony Darazi, Jean-François Couchot
2020, Journal

7. Dynamic AED Allocation and Reallocation for SCA Rescue Using Modified MCLP
IEEE International Smart Cities Conference (ISC2)
Charbel Metrot, Rony Darazi, Abderrahim Benslimane, Elias Doumith
2019, Conference

8. Similarity Based Image Selection with Frame Rate Adaptation and Local Event Detection in Wireless Video Sensor Networks
Multimedia Tools and Applications
Christian Salim, Abdallah Makhoul, Rony Darazi, Raphaël Couturier
2019, Journal

9. Blind Image Watermarking using Normalized STDM robust against Fixed Gain Attack
IEEE International Multidisciplinary Conference on Engineering Technology (IMCET)
Makram Hatoum, Rony Darazi, Jean-François Couchot
2018, Conference Paper

10. Using Adaptive Sampling and DWT Lifting Scheme for Efficient Data Reduction in Wireless Body Sensor Networks
14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Joseph Azar, Carol Habib, Rony Darazi, [...], Jacques Demerjian
2018, Conference Paper

11. Kinematics Based Approach for Data Reduction in Wireless Video Sensor Networks
WiMob 2018: The 14th International Conference on Wireless and Mobile Computing, Networking and Communications.
Christian Salim, Abdallah Makhoul, Rony Darazi, Raphaël Couturier
2018, Conference Paper

12. Blind PDF Document Watermarking Robust Against PCA and ICA Attacks
15th International Conference on Security and Cryptography SECRYPT 2018
Makram Hatoum, Rony Darazi, Jean-François Couchot
2018, Conference Paper

13. Health Risk Assessment and Decision-Making for Patient Monitoring and Decision-support using Wireless Body Sensor Networks
Information Fusion
Carol Habib, Abdallah Makhoul, Rony Darazi, Raphaël Couturier
2018, Journal

14. Using DWT Lifting Scheme for Lossless Data Compression in Wireless Body Sensor Networks
14th International Wireless Communications & Mobile Computing Conference (IWCMC)
Joseph Azar, Rony Darazi, Carol Habib, [...], Jacques Demerjian
2018, Conference Paper

15. Enhanced S-MAC Protocol for Early Reaction and Detection in Wireless Video Sensor Networks
ISPDC 18
Christian Salim, Amani Srour, Rony Darazi, [...], Raphaël Couturier
2018, Conference Paper

16. Wireless multimedia sensor network deployment for disparity map calculation
IEEE Middle East and North Africa Communications Conference (MENACOMM)
Anthony Tannoury, Rony Darazi, Abdallah Makhoul, Christophe Guyeux
2018, Conference Paper

17. On the performance of resource-aware compression techniques for vital signs data in wireless body sensor networks
IEEE Middle East and North Africa Communications Conference (MENACOMM)
Joseph Azar, Abdallah Makhoul, Rony Darazi, [...], Raphaël Couturier
2018, Conference Paper

18. Blind PDF Document Watermarking Robust Against PCA and ICA Attacks
International Conference on Security and Cryptography
Makram Hatoum, Rony Darazi, Jean-François Couchot
2018, Conference Paper

Talar Atechian

Biography

Dr. Talar Atechian is an Associate Professor and researcher at the Faculty of Engineering (FOE) at Antonine University (UA) in Lebanon since 2010. She earned her MS in Computer and Communications Engineering from UA in 2005 and her PhD in Computer Science from INSA of Lyon, France, in 2010. From 2014 to 2019, Dr. Atechian served as the Director of UA’s teaching and learning center (APUI), where she provided training and professional development support to University instructors. In addition, she is an esteemed member of several organizations, including the Order of Engineers and Architects (OEA) in Lebanon, IEEE, Association for the Development Methodologies in Education (ADMEE), International Association of University Pedagogy (AIPU), and also held the position of Secretary General of AIPU’s section in Lebanon from 2015 to 2020.

Research Outline

Her research primarily focuses on 2 areas: optimizing data transmission in vehicular networks (VANET - IoV) and MEI-based (Music Encoding Initiative) semantics encoding of music notation.

Youssef Bou Issa

Biography

Dr. Youssef Bou Issa is an Associate Professor at Antonine University (UA) in Lebanon. He earned his MS in Computer and Communications Engineering from UA in 2005 and, his PhD in Computer Science from the University of Toulouse, France, in 2010. His research focuses on computer-human interaction, with a particular emphasis on accessibility for blind users.

Dr. Bou Issa’s main research objective is to explore new interaction techniques and methods that can improve the experience of disabled individuals. Specifically, he aims to develop models and technologies that enhance computer-human interaction for blind users. This involves translating hidden visual information into tactile and/or auditory formats, not only by providing technological tools but also by studying the fundamental concepts of trans-modalities.

Initially, his work involved the transformation of visual information into tactile/audio formats, and then he worked on transforming shapes into vibrations using vibrating touch screens. Another study in this subject concerns the conjunction of visual pointing techniques and rules with non-visual pointing on vibrating touch screens. Currently, he is engaged in a new type of visual information, which consists of analyzing postures and gestures of individuals in order to translate them or decipher their psychological meaning for blind users.

Collaborating with Ellipse team in IRIT France, Dr. Bou Issa is also investigating pointing techniques in a 3D environment. The objective of this research is to propose a new technique that optimizes the time spent on selecting a target in a 3D environment.

In 2018, in collaboration with the FEMTO-ST Lab in France, Dr. Bou Issa embarked on a new research project focused on outdoor navigation for blind users, highlighting the relationship between stress levels and interaction with road obstacles. The research team aimed to develop adaptive technologies that could intuitively adjust to the user’s stress markers, providing real-time navigational assistance that is sensitive to the user’s tension state. The research involved creating algorithms capable of perceiving and interpreting users’ stress levels while considering environmental obstacles to ensure safe navigation.

Research Outline

Assistive technologies play a crucial role in enhancing the daily lives of people with disabilities. To effectively design and implement such tools, it is essential to address the challenges faced by individuals with disabilities in great detail. In the case of blind people, the loss of visual information can lead to various physical and mental well-being problems. Therefore, the restoration of hidden information holds significant promise as a field of research. The outcomes of such research can have the potential to be integrated into many computer-human interaction areas.

List of Publications (in the last 5 years)

1. Correlation between types of obstacles and stress level of blind people in outdoor navigation
International Wireless Communications & Mobile Computing Conference (IWCMC 2023)
Youssef Keryakos, Youssef Bou Issa, Abdallah Makhoul, Michel Salomon
2023, Conference Paper

2. Analyzing Stress Situations for Blind People
15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
Youssef Keryakos, Youssef Bou Issa, Abdallah Makhoul, Michel Salomon
2019, Conference Paper

3. Evaluating Fitts’ Law on Vibrating Touch-Screen to Improve Visual Data Accessibility for Blind Users
International Journal of Human-Computer Studies
Manahel El Lahib, Joe Tekli, Youssef Bou Issa
2018, Journal

4. Evaluating touch-screen vibration modality for blind users to access simple shapes and graphics
J Tekli, YB Issa, R Chbeir
International Journal of Human-Computer Studies 110, 115-133
2018, Journal

5. (k, l)-Clustering for Transactional Data Streams Anonymization
14th International Conference, ISPEC 2018, Tokyo, Japan, September 25-27, 2018, Proceedings
Jimmy Tekli, Bechara AL Bouna, Youssef Bou Issa, Marc Kamradt, Ramzi A. Haraty
2018, Conference

Zahi Al Chami

Biography

Dr. Zahi Al Chami earned his BS in Physics from the Lebanese University (LU) in 2012. He then transferred to Antonine University (UA) to pursue his education and graduated as a software engineer in 2017. Following his graduation, he embarked on a research career with an internship at UA’s TICKET Lab, working on a collaborative project entitled “Protecting multimedia documents while assessing their quality” in partnership with the Lebanese American University (LAU). Subsequently, he enrolled in a PhD program in computer science, which he completed in December 2021 at the University of Pau and Adour Countries in France.

Throughout his past and current research endeavors, Dr. Al Chami’s interests have primarily focused on 2 areas: real-time estimation of the image quality and enhancement and reconstruction of damaged image quality. In addition, he has recently delved into the field of “microservices” and is actively involved in building new models for converting monolithic architectures to microservices.

In terms of teaching experience, Dr. Al Chami started his career as a part-time Lecturer at UA in 2017, before being promoted to a full-time position, after 5 years, as an Assistant Professor. Some of the main courses he has taught include CCNA Introduction to Networks, Computer Vision, Web Programming (PHP), Object-oriented Programming, Mobile Development, Data Structures, and Programming C++.

List of Publications

1. A No-Reference and Full-Reference image quality assessment and enhancement framework in real-time
Multimedia Tools and Applications
Zahi Al Chami, Chady Abou Jaoude, Richard Chbeir, [...], Mansour Naser Alraja
2022, Journal

2. A supervised and unsupervised image quality assessment framework in real-time
Zahi Al Chami, Chady Abou Jaoude, Richard Chbeir
2022, Book Chapter

3. A Weighted Feature-Based Image Quality Assessment Framework in Real-Time
Zahi Al Chami, Chady Abou Jaoude, Bechara AL Bouna, Richard Chbeir
2020, Book Chapter

4. A Real-Time Multimedia Data Quality Assessment Framework
MEDES '19: 11th International Conference on Management of Digital EcoSystems
Zahi Al Chami, Bechara AL Bouna, Chady Abou Jaoude, Richard Chbeir
2019, Conference Paper