Full papers

Wednesday, November 8

9:00-9:30 OC: Opening Ceremony: Welcome Speech and Conference Briefing  
9:30-10:30 KN1: Keynote Speech: Machine Learning for Cybersecurity and Privacy - Prof. Benjamin C. M. Fung, McGill University, Canada  
10:30-11:00 CB: Coffee Break  
11:00-12:30 PD1: Panel Discussion: AI and Information Security for a Sustainable Future  
12:30-14:00 LB: Lunch Break  
14:00-15:30 S1: Session 1 S2: Session 2
15:30-16:00 CB: Coffee Break  
16:00-17:30 S3: Session 3 S4: Session 4

Thursday, November 9

9:00-10:30 S5: Session 5 S6: Session 6
10:30-11:00 CB: Coffee Break  
11:00-12:00 KN2: Keynote Speech: Understanding the Transformative Power of Generative AI in Modern Communication and Information Security - Prof. Amin Beheshti, Macquarie University, Australia  
12:00-12:30 CB: Coffee Break  
12:30-13:30 PD2: Panel Discussion: SheTech: Women's Contributions in the Field of Signal Processing and Information Security  
13:30-14:30 LB: Lunch Break  
14:30-16:00 S7: Session 7 S8: Session 8
16:00-16:30 CS: Awards and Closing Ceremony  

Wednesday, November 8

Wednesday, November 8 9:00 - 9:30 (Asia/Dubai)

OC: Opening Ceremony: Welcome Speech and Conference Briefing

Room: Conference Hall

Wednesday, November 8 9:30 - 10:30 (Asia/Dubai)

KN1: Keynote Speech: Machine Learning for Cybersecurity and Privacy - Prof. Benjamin C. M. Fung, McGill University, Canada

Prof. Benjamin C. M. Fung, McGill University, Canada
Room: Conference Hall

Abstract: Three research directions in cybersecurity and privacy will be presented in this session. The first research direction is on privacy-preserving data publishing. The objective is to share large volumes of data for machine learning without compromising the privacy of individuals. We will discuss multiple data sharing scenarios in privacy-preserving data publishing. The second research direction is on authorship analysis. The objective is to identify the author or infer the author's characteristics based on his/her writing styles. The third problem is on malware analysis. Assembly code analysis is one of the critical processes for mitigating the exponentially increasing threats from malicious software. However, it is a manually intensive and time-consuming process even for experienced reverse engineers. An effective and efficient assembly code clone search engine can greatly reduce the effort of this process. I will briefly describe our award-winning assembly clone search engine.

Bio: Prof. Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor of School of Information Studies (SIS) at McGill University, and an Associate Editor of IEEE Transactions on Data and Engineering (TKDE) and Elsevier Sustainable Cities and Society (SCS). He received a Ph.D. degree in computing science from Simon Fraser University in 2007. Collaborating closely with the national defense, law enforcement, transportation, and healthcare sectors, he has published over 140 refereed articles that span across the research forums of data mining, machine learning, privacy protection, and cybersecurity with over 14,000 citations and h-index 57. His data mining works in crime investigation and authorship analysis have been reported by media, including New York Times, BBC, CBC, etc. Dr. Fung is a licensed professional engineer in software engineering. See his research website http://dmas.lab.mcgill.ca/fung for more information.

Wednesday, November 8 10:30 - 11:00 (Asia/Dubai)

CB: Coffee Break

Wednesday, November 8 11:00 - 12:30 (Asia/Dubai)

PD1: Panel Discussion: AI and Information Security for a Sustainable Future

Panel Moderator: Prof. Wathiq Mansoor (University of Dubai, UAE)
Panelists: Bashar Kilani (Digital Economy Advocate, UAE), Prof. Benjamin C. M. Fung (McGill University, Canada), Khalid Yaqoob (Dubai Electronic Security Center, DESC, UAE), Prof. Stephen Marshall (University of Strathclyde, UK), Utku Guney (Huawei, UAE)
Room: Conference Hall
Chair: Wathiq Mansoor

Wednesday, November 8 12:30 - 14:00 (Asia/Dubai)

LB: Lunch Break

Wednesday, November 8 14:00 - 15:30 (Asia/Dubai)

S1: Session 1

Room: Conference Hall
Chairs: Sabina Abdul Hadi, Abigail Copiaco
14:00 Investigating the Impact of Sampling Techniques on an Imbalanced Classification Problem
Dina Shehada, Sudad Muammar, Maryam Ali Amour and Ahmed Bouridane
14:15 IMU-Based Human Activity Recognition Using Machine Learning and Deep Learning Models
Saad T AlKharji, Aysha Alteneiji and Kin Fai Poon
14:30 Quadrotor Experimental Dynamic Identification with Comprehensive NARX Neural Networks
Khaled Telli, Kraa Okba, Yassine Himeur, Mohamed Boumehraz, Shadi Atalla, Wathiq Mansoor and Abdelmalik Ouamane
14:45 Plug-And-Play Enhanced Compressive Sensing for Limited Sample PAT Image Reconstruction
Mary Anjaley Josy John and Imad Barhumi
15:00 Advancing a Cascaded Machine Learning Approach for the Accurate Estimation of Antenna Parameters
Abigail Copiaco, Rida Gadhafi, Husameldin Mukhtar and Wathiq Mansoor
15:15 Exploring 2D Representation and Transfer Learning Techniques to Identify People on Indoor Localizati
Oussama Kerdjidj, Shadi Atalla, Wathiq Mansoor, Yassine Himeur, Fodil Fadli, Shahab Saquib Sohail, Abigail Copiaco, Abbes Amira and Amjad Gawanmeh

S2: Session 2

Room: CEIT 102 Auditorium
Chairs: Shadi Atalla, Hamzah Ali Alkhazaleh
14:00 Enhancing Kinship Verification Through Multiscale Retinex and Combined Deep-Shallow Features
El ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane, Mohcene Bessaoudi, Yassine Himeur, Abdelmalik Ouamane, Shadi Atalla and Wathiq Mansoor
14:15 Opportunities and Challenges of Big Data Technology in Retail Industry
Hamzah Ali Alkhazaleh, Shadi Atalla, Saad Amin, Mohammed Abduljalil, Nawaf Majid and Rashed Mohammed Alraees
14:30 A Study of Project Description Inference Using Method Name Elements for Software Upcycling
Kohei Terakawa, Sinan Chen, Sachio Saiki and Masahide Nakamura
14:45 Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation
Amir Hamza, Badis Lekouaghet and Yassine Himeur
15:00 A Hybrid Machine Learning Framework to Improve Parkinson's Disease Prediction Accuracy
Ronak Bediya, Ravikumar R N, Krishnanand Mishra, Khushi Kandoi, Siddhant Gautam Singh and Sushil Kumar Singh

Wednesday, November 8 15:30 - 16:00 (Asia/Dubai)

CB: Coffee Break

Wednesday, November 8 16:00 - 17:30 (Asia/Dubai)

S3: Session 3

Room: Conference Hall
Chairs: Mohammed Q. Alkhatib, Mohammad Sami Zitouni
16:00 Current Topological and Machine Learning Applications for Bias Detection in Text
Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalla and Wathiq Mansoor
16:15 An Ensemble-Based Dates Classification Systems
Abdulrahman A Alalshekmubarak
16:30 Emirati Sign Language Recognition Using YOLOv5
Asma Al-Ali, Waad Aljanaahi, Esraa Alawadhi and Saeed Abdallah
16:45 Experimental Benchmarking of Quantum Machine Learning Classifiers
Mohamed Aly, Salma Fadaaq, Omnia Abu Waraga, Qassim MH Nasir and Manar Abu Talib
17:00 An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger
Mukta Mithra Raj, Raja Muthalagu, Pranav M. Pawar, Tamizharasan P. s, Elakkiya R and Alavikunhu Panthakkan
17:15 "Harnessing Transformers: A Leap Forward in Cancer Detection Through Image Analysis
Amine Bechar, Youssef Elmir, Rafik Medjoudj, Yassine Himeur and Abbes Amira

S4: Session 4

Room: CEIT 102 Auditorium
Chairs: Oussama Kerdjidj, Kaushal Shah
16:00 Human Action Recognition Using Attention EfficientNet
Bhumika Karsh, Ram Karsh and Rabul Laskar
16:15 On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Hafsa Bousbiat, Yassine Himeur, Abbes Amira and Wathiq Mansoor
16:30 Enhancing Brain Tumour Diagnosis with Augmented Reality Rendering-Based 6 DoF Object Pose Estimation
Kahina Amara, Oussama Kerdjidj, Shadi Atalla, Mohamed Amine Guerroudji, Wathiq Mansoor and Nadia Zenati
16:45 Detecting Wasted Resources in Hydroponic Systems
Hamzah Ali Alkhazaleh, Saad Amin, Shadi Atalla, Mohamed AlAnsaari, Khawla A. Albeloshi and Rayah Y. Almadhaani
17:00 Blockchain-Enabled DNS: Enhancing Security and Mitigating Attacks in Domain Name Systems
Kaushal Shah, Mukti Padhya and Sachin Sharma
17:15 Deep Learning-Based Human Tracking, Face Mask and Social Distance Monitoring, Systems Using YOLOv5
Ram Karsh and Bhumika Karsh

Thursday, November 9

Thursday, November 9 9:00 - 10:30 (Asia/Dubai)

S5: Session 5

Room: Conference Hall
Chairs: Claude Fachkha, Sarra Cherbal
9:00 Secure Key Exchange Scheme and Blockchain-Oriented Data Protection in the Internet of Vehicles
Sarra Cherbal
9:15 Enhanced Image Encryption Using the Hénon Map, the LCG and the Lorenz System
Omar Elnoamy, Alaa Aref, Lobna Desoki, Menna Roushdy, Yousef Korayem, Mohamed Kamel Gabr and Wassim Alexan
9:30 LLM-Based Attack Scenarios Generator with IT Asset Management and Vulnerability Information
Takeru Naito, Rei Watanabe and Takuho Mitsunaga
9:45 Automated Mapping Method for Sysmon Logs to ATT&CK Techniques by Leveraging Atomic Red Team
Momoka Okuma, Koki Watarai, Satoshi Okada and Takuho Mitsunaga
10:00 HTTP Header Reordering-Based Covert Channel Protocol
Sergey Semushin and Shinnazar Seytnazarov
10:15 DiffT: A Novel Approach for Privacy-Preserving Data Analytics
Ketaki Kadlaskar, Mukti Padhya and Kaushal Shah

S6: Session 6

Room: CEIT 102 Auditorium
Chairs: Maisam Wahbah, Omar Alnaseri
9:00 Recognition of Pre-Emergency Situations During Oil Wells Exploitation Based on Telemetry Analysis
Alexander Evgenievich Samotuga, Alexey Sulavko, Georgii Suvyrin, Pavel Sergeyevich Lozhnikov, Sergey Alexandrovich Klinovenko and Leonid Valerievich Pletnev
9:15 Laser Phase Noise Mitigation Based on Autoencoder for End-To-End Learning of CO-OFDM Systems
Omar Alnaseri, Ibtesam R.K. Al-Saedi and Ahmed AL-Asadi
9:30 Node Localization in WSN Using the Slime Mould Algorithm
Badis Lekouaghet, Mohammed Amin Khelifa, Yassine Himeur and Abdelkrim Boukabou
9:45 Using Data Integration Platform for Effective Location-Aware Service Development Platform
Tomoro Nakahashi, Sinan Chen, Sachio Saiki and Masahide Nakamura
10:00 Landslide Disaster Assessment with Integration of Social Media and Remote Sensing
Deepak Rawat, Abdul Kadir, Atul Kumar, Mukat Lal Sharma, Nishant Saxena and Roshan Kumar
10:15 Predicting Temperature Change in the UAE Using Linear Regression and the LSTM Method
Abdulrhman Saleh Alabdouli, Husameldin Mukhtar and Mohammad Sami Zitouni

Thursday, November 9 10:30 - 11:00 (Asia/Dubai)

CB: Coffee Break

Thursday, November 9 11:00 - 12:00 (Asia/Dubai)

KN2: Keynote Speech: Understanding the Transformative Power of Generative AI in Modern Communication and Information Security - Prof. Amin Beheshti, Macquarie University, Australia

Prof. Amin Beheshti, Macquarie University, Australia
Room: Conference Hall

Abstract : Signals are the means by which information is transmitted from one point to another, whether it is sound/radio waves, speech, images, or even biological signals like an ECG. Understanding and analyzing signals are vital because they provide insights into their underlying information, enabling accurate communication, data interpretation, and decision-making across various domains, from telecommunications to healthcare. Generative Artificial Intelligence (AI) holds the potential to revolutionize the analysis, manipulation, and interpretation of signals by autonomously generating high-quality data, optimizing signal features in real-time, and providing innovative solutions for complex signal processing challenges, paving the way for advanced and efficient data-driven applications. This talk delves into the world of Generative AI and its transformative potential in signal processing and information security. Through real-world examples and case studies, we showcase the tangible benefits and opportunities that Generative AI brings to organizations across various industries.

Bio : Prof. Dr. Amin Beheshti is a Full Professor of Data Science, the Director of the Centre for Applied Artificial Intelligence, the head of the Data Science Lab, and the founder of the Big Data Society at Macquarie University, Sydney, Australia. Additionally, he is an Adjunct Professor of Computer Science at UNSW Sydney, Australia. Amin completed his PhD and Postdoc in Computer Science and Engineering at UNSW Sydney, and holds a Master's and Bachelor's degree in Computer Science, both with First Class Honours. Alongside his teaching activities, Amin has made significant contributions to research projects, serving as the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. These projects were awarded the National Security Impact Award in both 2016 and 2017. As a distinguished researcher in Big-Data/Data/Process Analytics, Amin has been invited to serve as a Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. He is also a leading author of several authored books in data, social, and process analytics, co-authored with other high-profile researchers. Amin has secured over $23.9 million in research grants for AI-Enabled, Data-Centric, and Intelligence-Led projects.

Thursday, November 9 12:00 - 12:30 (Asia/Dubai)

CB: Coffee Break

Thursday, November 9 12:30 - 13:30 (Asia/Dubai)

PD2: Panel Discussion: SheTech: Women's Contributions in the Field of Signal Processing and Information Security

Panel Moderator: Muna Darweesh (University of Dubai, UAE)
Panelists: Dr. Heba Ahmed (Dubai Electronic Security Center, UAE), Fatema Fardan (Bank ABC, Bahrain), Afra Almansoori (Dubai Digital Authority, UAE), Marwa Almarzooqi (Emirates Global Aluminium, UAE)
Room: Conference Hall
Chair: Muna Darweesh

Thursday, November 9 13:30 - 14:30 (Asia/Dubai)

LB: Lunch Break

Thursday, November 9 14:30 - 16:00 (Asia/Dubai)

S7: Session 7

Room: Conference Hall
Chairs: Rida Gadhafi, Mohammad Ali Alavianmehr
14:30 Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
Alavikunhu Panthakkan, Saeed Al Mansoori, Alyazia Al Shamsi and Hussain Al-Ahmad
14:45 TAQWA: Teaching Adolescents Quality Wadhu/Ablution Contactlessly Using Deep Learning
Hira Hameed, Lubna Lubna, Muhammad Usman, Nour Ghadban, Kamran Arshad, Khaled Assaleh, Ahmed Alkhayyat, Muhammad Ali Imran and Qammer H Abbasi
15:00 Real-Time Obstacle Detection for Visually Impaired People Using Deep Learning
Mounir Bousbia-Salah, Loubna Bougheloum and Maamar Bettayeb

S8: Session 8

Room: CEIT 102 Auditorium
Chairs: Yassine Himeur, Alavikunhu Panthakkan
14:30 Smart Endotracheal Intubation Real-Time Visual Feedback and Edge Detection for Enhanced Procedure
Mohammad Alshoweky, Abbes Amira and Fatih Kurugollu
14:45 Transforming Healthcare: Raabin White Blood Cell Classification with Vision Transformers
Alavikunhu Panthakkan, S M Anzar and Wathiq Mansoor
15:00 Attentive Regularization in Targeted Kernel Networks for Accurate Diabetic Retinopathy Grading
Alavikunhu Panthakkan, S M Anzar and Mili Rosline Mathews
15:15 An Intelligent Edge-Deployable Indoor Air Quality Monitoring and Activity Recognition Approach
Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, Abdelmalik Ouamane and Abbes Amira
15:30 An Extensive Evaluation of Plant Disease Detection Using Diverse Machine Learning Approaches
Alavikunhu Panthakkan, Wathiq Mansoor, Satyen Parikhb, Falguni Suthar and Ritesh Joshi
15:45 Multi-Disease Retinal Vessel Segmentation: A Deep Learning Approach
Tanvir Alam, Mohammad Tariqul Islam and Hesham Zaky

Thursday, November 9 16:00 - 16:30 (Asia/Dubai)

CS: Awards and Closing Ceremony

Room: Conference Hall