Dr. Rahma Beaugrand
VP, Head of Customer Advisory and Pre-Sale Middle East South
SAP Middle East and North Africa LLC

Speech Title: AI in Business Enterprise Space

Abstract: AI and Gen AI are changing how humans interact with digital tools and applications faster than any other technology (adoption of ChatGPT, 100 million active users in a few months). For business enterprises, AI and Gen AI influence all aspects and KPIs: efficiency, productivity, quality, content, and value creation, as well as the work environment and the interaction between the different companies. Let us see where AI has the most important impact, with some examples and use cases. what is the data telling us about adopting AI in the Enterprise space? and how we can imagine the interaction between business AI Gen AI and Humans in the workspace.

Bio: Dr. Rahma is a Head of Customer Advisory and Pre-Sale Middle East South, SAP Middle East and North Africa LLC.

Hande Erbay
Sustainability Software Market Leader
Middle East & Africa and Turkey, IBM Middle East & Africa (MEA)

Speech Title: Building Sustainable Economies: How AI and emerging technologies can help

Abstract: How can technology bridge the gap between sustainability ambition and action? How will AI help the planet solve complex problems around sustainability? Join us as we navigate the landscape of sustainable development, envisioning how AI can catalyze solutions and drive progress toward a more sustainable and prosperous future.

Bio: Hande Akdede Erbay is the Market Leader for IBM Sustainability Software in the Middle East and Africa. With over 20 years of sales experience in the technology industry, she oversees strategy, sales, revenue, and client advocacy for IBM’s sustainability software division, a key priority within IBM’s global strategy. Before this role, Hande held leadership positions within IBM, including TSS Leader for MEA, where she was responsible for executing the services strategy in the region. Hande is deeply passionate about technology and its potential for positive societal change. Her focus extends beyond mere business objectives; she is committed to harnessing technology to address sustainability challenges, with a keen eye on fostering strong client partnerships to deliver solutions that make a tangible difference. Hande holds a degree in Political Science from Istanbul University. She is a proud mother to one son and enjoys traveling and immersing herself in different cultures during her leisure time.

Dr. Abdulla Mohammed Ali Mohammed AlShammari 
Senior Director at the AI & Data Solutions Department
Core 42, Abu Dhabi, UAE

Speech Title: Demystifying AI: How Students Can Use Technology to Address Global Challenges

Speech Abstract: The session's focus is to clarify the role and potential of artificial intelligence (AI) in enabling students to address global issues effectively. By examining AI's practical applications in critical fields such as climate change, healthcare, and education, students will gain important insights and skills to contribute significantly to these areas. This exploration allows students to grasp AI's capabilities and prepares them with the knowledge and tools necessary to innovate solutions for a brighter future.

Bio: Dr. Abdulla AlShimmari is a Senior Director at the AI & Data Solutions department of Core42. He received his PhD in AI, NLP, and Data Science from the Massachusetts Institute of Technology (MIT) & Masdar Institute of Science and Technology Cooperative Program. He is a fellow member of the National Experts Program (NEP 3.0), representing the Technology and Innovation sector. AlShimmari worked in the Engineering Department of Abu Dhabi Police as a Major-Officer & Head of the Research & Development Team. He has vast experience in technology, entrepreneurism, and innovation, with 14 national and international awards records; he is also a board member of the Arab Youth Research Council, the HCT Industry Advisory Council, and the Endless Studios advisory board.

Mr. Amjad Shahrour
Entrepreneurial Technologist & Mentor
Experienced Fractional CTO and Tech Advisor
Engineering Growth Through Innovation and Resilience, CISCO

Workshop Title: AI–Powered Healthcare and Wellness for Economic Productivity

Abstract: Artificial intelligence is no longer a futuristic idea. It's already here, and it has turned out to be a powerful, disruptive force in healthcare, e-fueling some of the most innovative diagnostic tools of today. In this session, we will showcase several current applications of AI in healthcare and highlight their economic impact. Finally, we will discuss the current state of approvals and adoption and future trends.

Bio: Amjad is a visionary in tech transformation who fuels businesses with innovative strategies that ensure growth and resilience. With decades of experience from CGI to PwC, Cisco and Startups, he's not justa mentor but a driving force behind turning ambitious ideas into reality. Specializing in AI, Blockchain, and IoT, Amjad empowers entrepreneurs and enterprises alike to lead in their industries.

Qusay H. Mahmoud, Ph.D., P.Eng.
Faculty of Engineering & Applied Science, Ontario Tech University, Canada

Workshop Title: Generative AI and the Future of Teaching and Research

Abstract: Generative AI is an artificial intelligence (AI) that leverages machine learning models to generate new content, such as images, text, video, and music. While generative AI is still in its early stages, it has the potential to revolutionize many areas of society, including education and academic research, by providing new opportunities for educators and students to explore, create, and personalize learning experiences, but also challenges for educators dealing with student submissions containing AI-generated content. This workshop will introduce the fascinating world of generative AI and explore its transformative potential for teaching and research as well as ethical and responsible use. The workshop will begin with an introduction to Generative AI, discussing its foundations and the principles that guide its operation. The focus is then shifted to the practical applications of Generative AI in teaching and research, including creating educational content, facilitating personalized learning, and stimulating innovative research methodologies. Ethical considerations and challenges that come with the use of Generative AI in such contexts will be discussed, along with guidelines for responsible use. The workshop will be highly interactive, featuring live & hands-on demonstrations and opportunities for discussion. Whether you're an educator, researcher, or AI enthusiast, this workshop will provide valuable insights into the future of teaching and research in the age of Generative AI.

Bio: Qusay H. Mahmoud, Ph.D., P.Eng., is a Professor of Software Engineering and Associate Dean of Experiential Learning & Engineering Outreach at Ontario Tech University (Canada). Previously, he spent ten years at the University of Guelph (Canada) as a Professor of Computer Science and Director of the BlackBerry Centre for Mobile Education & Research. Dr. Mahmoud brings a global perspective to his work as a visiting professor in the UAE, Indonesia, Saudi Arabia, and the USA. His academic journey includes a BSc in Data Analysis and a master’s degree in computer science (both from the University of New Brunswick, Canada), a PhD in Computer Science (Middlesex University, UK), and leadership training from the University of Manitoba (Canada) and Cornell University (USA). Dr. Mahmoud's research is focused on intelligent software systems and engineering education.

Mr. Mohamed Ezzat
Sr. AI/ML Sales Specialist
Amazon Web Services, Dubai, UAE

Workshop Title: Efficient Finetuning of Quantized LLMs

Abstract: LLMs excel in general language comprehension, but fine-tuning enables them to perform tasks such as writing various types of creative content or answering questions in a specialized domain such as medical or legal. In this one-hour class, we will explore various fine-tuning strategies, focusing on QLORA Quantized Low-Rank Adaptation. Starting with introducing low-rank adapter weights to the LLM architecture, which are learned during fine-tuning while the original pre-trained weights are frozen, Quantization reduces the precision of these weights from 32 bits to 4 bits. This drastically reduces the LLM's memory footprint, allowing it to run on a single GPU for fine-tuning, even for large models.

Bio: Mr. Mohamed is a senior Sr. AI/ML Sales Specialist at Amazon Web Services.

Mohammed Al Shamsi
CEO/owner of RoboHiTec Company

Abstract: The workshop will be led by Mohammad Alshamsi, an experienced robotics engineer and ROS practitioner with a track record of successful projects and a passion for teaching. This condensed two-day workshop is designed to equip participants with the foundational knowledge and practical skills to navigate the ROS ecosystem, an essential framework for robotics applications. This workshop is ideal for those interested in robotics, including students, hobbyists, and professionals. A basic understanding of programming concepts and familiarity with Linux will be advantageous. Workshop

Schedule:
Day 1: ROS Essentials (3 Hours)
Introduction to ROS and its significance in robotics
Setting up ROS environment
Core concepts: Nodes, Topics, Messages, Services, and Actions
Day 2: Practical ROS Implementation (3 Hours)
Building simple ROS packages
Hands-on exercises with publishers and subscribers

Learning Outcomes:
By the end of this workshop, participants will have a solid grasp of ROS basics and will be able to create and understand simple ROS projects. They will also be prepared to delve into more complex ROS functionalities independently.

Materials Required:

• A laptop
• An internet connection for accessing ROS simulator.

Bio: Experienced Owner with a demonstrated history of working in the research industry. Skilled in Photography, Mechatronics, Robots, Computer Vision, and Automation. Strong entrepreneurship professional with a Higher Diploma focused in Mechatronics Engineering from Higher Colleges of Technology.

Tasneem Fathima
Sr. Solutions Architect
Amazon Web Services, Dubai, UAE

Workshop Title: Train and tune state-of-the-art ML models on Amazon SageMaker

Abstract: Train machine learning (ML) models faster on Amazon SageMaker with state-of-the-art training tools and the current highest-performing ML computing infrastructure. SageMaker interactive debugging and profiling tools can uncover complex model behaviors and dissect hardware utilization in near real-time. You can also optimize distributed training jobs with the fastest and easiest methods for training large deep-learning models and datasets. Join this session to learn about new features that enable large-scale and cost-effective model training. Get prescriptive guidance across the entire journey of LLM customization and pretraining to help you accelerate generative AI development. Precise these weights from, say, 32 bits to 4 bits. This drastically reduces the LLM's memory footprint, allowing it to run on a single GPU for fine-tuning, even for very large models.

Bio: Sr. Solutions Architect, Amazon Web Services, AWS, Dubai, UAE

Mr. Mudar Kadah
Solution Specialist, SAP Middle East and North Africa LLC

Workshop Title: Generative AI & Modern Application Development

Abstract: In this session, we will investigate generative AI and modern software development. Learning how to use generative AI and SAP CAP can help us build robust full-stack cloud-native applications.

Bio: Passionate problem solver, solution hacker, and technology advocate. Seeking to drive digital transformation with the latest technological innovations. Mudar is an SAP solution advisor based in Dubai, focusing on application development and integration, helping SAP customers extend and innovate their business processes.During his journey of 8 years at SAP, he transitioned through diverse roles from helping startups build data-driven solutions, innovation and design thinking facilitation, and the most recent solution advisory role.Qualifications include a degree in Information Technology from Staffordshire University - UK, a specialization in Information Systems Security, SAP Certified Business Intelligence Consultant, and Hasso-Plattner-Institute – Germany trained Design Thinker.

Dr. Abdulla AlShammari
Senior Director at the AI & Data Solutions Department
Core 42, Abu Dhabi, UAE

Workshop Title: Student AI Mentoring Q & A 

Workshop Abstract: The focus of the session is to clarify the role, and potential of artificial intelligence (AI) in enabling students to address global issues effectively. By examining AI's practical applications in critical fields such as climate change, healthcare, and education, students will gain important insights and skills to contribute significantly to these areas. This exploration allows students to grasp AI's capabilities and prepares them with the knowledge and tools necessary for innovating solutions for a brighter future. 

Bio: Dr. Abdulla AlShimmari is a Senior Director at the AI & Data Solutions department of Core42. He received his PhD in AI, NLP, and Data Science from the Massachusetts Institute of Technology (MIT) & Masdar Institute of Science and Technology Cooperative Program. He is a fellow member of the National Experts Program (NEP 3.0) representing the Technology and Innovation sector. AlShimmari worked in the Engineering Department of Abu Dhabi Police as a Major-Officer & Head of the Research & Development Team. He has vast experience in technology, entrepreneurism, and innovation, with 14 national and international awards records; he is also a board member of the Arab Youth Research Council, the HCT Industry Advisory Council, and Endless Studios advisory board.

Mr. Utku Guney
Senior Solution Architect, Huawei Cloud

Workshop Title: A World of Infinite Possibilities Enabled with AI

Workshop Abstract: During the talk, we will delve into various facets of Artificial Intelligence (AI), encompassing its definition, economic ramifications, and notable use cases. Moreover, we will explore the significance of this transformative technology for today's students, providing valuable insights into potential career trajectories and opportunities. 

Bio: IT professional with over 18 years of experience in designing, developing, and managing complex data platforms and analytical solutions. Proven ability to deliver end-to-end analytical applications, reporting solutions, real-time streaming systems, and demonstrated understanding of machine learning principles. Skilled in cloud solutions sales and architecture, with strong focus on customer needs. HCIE – Cloud Service Solutions Architect.

Gowdhaman Ramasamy, CEO and Vikram Venkatesh, CTO
Empower Group

Workshop Title: AI Impact in Business: From Procurement to Advertising

Workshop Abstract: Discover how AI is reshaping business at our workshop! Join us to explore real-life examples of AI's influence across small, medium, and large enterprises. From revolutionizing procurement to optimizing advertising, we'll showcase AI's transformative power in industries like never before. Get ready for an eye-opening dive into the future of business with AI!

Prof. Boulbaba Ben Amor
Core 42, Abu Dhabi, UAE

Workshop Title: Empowering Digital Transformation with Generative AI: A New Era of Innovation

Workshop Abstract: In this session, we'll dive into how Generative AI (or GenAI) is revolutionizing the digital technology landscape, marking a significant shift in how businesses, industries, and academia approach the digital age's challenges and opportunities. Positioned at the forefront of innovation, efficiency, and growth, Generative AI is catalyzing profound changes across various sectors, including healthcare, biotechnology, precision medicine, research, and education to cite a few. By fostering the creation of original content, tailoring experiences, and pioneering solutions, it sets the stage for a new era of innovation. We'll examine the broad capabilities and diverse applications of Generative AI, its transformative effect on the workforce across industries and academic institutions, and its role in fostering a multidisciplinary approach to adoption. Furthermore, we'll provide actionable insights on integrating Generative AI into existing digital transformation strategies, highlighting the importance of responsible use and the potential for human-machine collaboration. Join us to discover how leveraging Generative AI can lead to unprecedented levels of innovation, creativity and progress in the digital transformation journey!

Bio: Prof. Boulbaba Ben Amor is currently serving as Principal Research Scientist at Core42, a G42 company and full-spectrum AI enablement solutions provider. His journey into AI began with his engagement at the Inception Institute of Artificial Intelligence in Abu Dhabi, since 2019. He is also a Professor of Computer Science at IMT Nord Europe and the CNRS Research Center CRIStAL, in France. In 2013, Prof. Ben Amor was a visiting Researcher at the Statistical Shape Analysis and Modeling Group led by Prof. Anuj Srivastava at Florida State University, an experience enriched by the prestigious Fulbright Research Scholarship he received in 2016 for a return visit. Prof. Ben Amor earned his MSc. and PhD. degrees from École Centrale de Lyon in France, in 2003 and 2006, respectively. In 2007, Prof. Ben Amor commenced his tenure at the Mines-Telecom Institute as an Assistant Professor and was promoted to full Professor in the Department of Computer Science starting in 2016. Prof. Ben Amor serves as Associate Editor of the IEEE Transactions on The IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE T-BIOM). Prof. Ben Amor's research interests include Deep Learning, Generative AI, Large Language Models, and Shape Analysis, with applications spanning Computational Anatomy, Computational Structural Biology, and Biometrics recognition. His academic contributions include over 60 published papers in esteemed journals, conference proceedings, and book chapters, marking advancements in the field of Computer Science. 

Mousa Al-Kfairy
Associate Professor, College of Technological Innovation
Zayed University, Abu Dhabi Campus, UAE

Project Title: Factors Influencing Acceptance, Adoption, and Trust in Metaverse Technology in UAE

Abstract: Second Life, or Metaverse, has recently become a technological trend attracting researchers and companies. It refers to using several technologies (Virtual Reality, Augmented Reality, Artificial Intelligence (AI) …etc.) to enrich the users' experience in the virtual world. As an emerging technology, it has several domain applications. One of them is in education to build a virtual classroom. However, there are several challenges that the Metaverse developers are facing, such as defining users’ requirements for the early adoption and acceptance of the Metaverse-based classroom. This research proposal aims to identify the users’ requirements for Metaverse-based classrooms and develop a Metaverse-based classroom prototype that the actual users can test. The research helps identify the challenges the Metaverse developers face and the adoption and acceptance factors of the Metaverse-based classroom. The proposal will follow a mix of research methods of quantitative and qualitative data collection and analysis.

Bio: Mousa Al-Kfairy received a B.Sc. degree in computer science from Jordan University of Science and Technology, Jordan, in 2006, an M.Sc. degree in computer science from Linkoping University, Sweden, in 2010, and a Ph.D. degree in information systems and computer science from Kingston University London, U.K., in 2019. He has been with the College of Technological Innovation, Zayed University (ZU), Dubai, UAE, since 2021. Before joining ZU, he was with the American University of Madaba, Amman, Jordan. He was an M.Sc. Thesis Supervisor and Examiner with Kingston University, London, U.K. A robust blend of academic and industrial experiences marks his professional journey. He spent seven years with Zenterio, Linköping, Sweden, a renowned Swedish company, where he demonstrated remarkable versatility and growth. His roles there evolved from Software Engineer to Pre-Sales Engineer, then to Solution Architect, and finally to Project Manager. Further enhancing his diverse skill set, he also excelled as a System Analyst and Project Manager with a prominent London-based company. He has several industrial certifications in Scrum, Kanban, and Agile methodologies. His academic interests are as dynamic as his career. He is deeply fascinated by the human interaction with emerging technologies, particularly in areas like the Metaverse and AI chatbots. Beyond his research and teaching roles, he actively contributes to the academic community as a Reviewer and Associate Editor for several esteemed journals and conferences. His research interests include metaverse applications, social commerce, AI applications, knowledge management, and innovation management.

CO-PIs:

1. Souheil Khaddaj, PhD Full Professor, Kingston University, London
2. Robert b. Mellor, PhD Associate Professor, Kingston University, London
3. Omar Alfandi, PhD Full Professor, Zayed University, UAE
4. Ahmed Shuhaiber, PhD Assistant Professor, Zayed University, UAE

Dr. Safa Otoum
Assistant Professor, College of Technological Innovation
Zayed University, Abu Dhabi Campus, UAE

Project Title: An Adaptive AI-Based Real-Time Hybrid Intrustion Detection System Using Zero Trust

Abstract: The proliferation of Internet of Things (IoT) technologies has led to increasingly complex and frequent malicious attacks on critical infrastructures, such as Autonomous Transport Systems (ATS) and healthcare systems. This growth encompasses a wide range of devices, from sensors to large machinery, creating diverse and expansive IoT networks vulnerable to security breaches. Concurrently, advancements in networking technologies, including cellular, wireless, Bluetooth, and LAN, provide numerous entry points for malicious users to exploit. Specifically, IoT edge devices, such as those in ATS, present attractive targets due to their connectivity to multiple network infrastructures. Addressing the cybersecurity and privacy concerns inherent in these networks is crucial for their successful deployment and adoption in critical infrastructures. Emerging technologies like machine learning, federated learning, distributed learning, and Blockchain offer promising solutions to enhance system security. However, the threat of network intrusion persists, potentially causing significant damage to infrastructure security and sensitive data. Intrusion Detection Systems (IDS) play a vital role in mitigating these risks by monitoring network traffic for suspicious activity and issuing alerts accordingly. Researchers continue to develop IDS tailored to specific network components, such as Host-based IDS (HIDS) or network-based IDS (NIDS), to effectively safeguard critical infrastructures.

Bio: Safa Otoum, Ph.D., P.Eng is an assistant professor of computer engineering in the College of Technological Innovation (CTI), Zayed University, United Arab Emirates, an adjunct professor of school of Electrical Engineering and Computer Science (EECS), Ottawa University, Canada, and a researcher in the field of communications and networks security. Prior to joining the CTI, she was a postdoctoral fellow at the University of Ottawa and has been a data scientist in Cheetah Networks Inc. Ottawa since 2019. She received her M.A.Sc. and Ph.D. degrees in computer engineering from the University of Ottawa, Canada, in 2015 and 2019, respectively. She is actively working on several reputable events within IEEE and ACM. Her research interests include networks security, Blockchain Applications, Applications of ML and AI, IoT, Intrusion Detection and Prevention Systems. She received several academic and research scholarships, including the prestigious NSERC Canada Graduate Scholarships-Doctoral, the NSERC FSS, RIF-Zayed University, ASPIRE Visiting Professorship Award (VPC), and TII-ZU grants. Currently, she is an IEEE member and a Professional Engineer (P.Eng.) Ontario.

CO-PIs:

1. Dr. Bassem Ouni, Technology Innovation Institute, UAE
2. Dr. Narinderjit Thandi, Technology Innovation Institute, UAE
3. Dr. Thierry Lestable, Technology Innovation Institute, UAE

Dr. Gohar Khan
Associate Professor, College of Technological Innovation
Zayed University, Abu Dhabi Campus, UAE

Project Title: “Use” as a Conscious Thought: Towards a Theory of “Use” in Autonomous

Abstract: The way users perceive and use information systems artefacts has been mainly studied from the notion of behavioural beliefs, deliberate cognitive efforts, and physical actions performed by human actors to produce certain outcomes. The next generation of systems, however, can sense, respond, and adapt to environments without necessitating similar cognitive efforts, physical contact, or explicit instructions to operate. Therefore, by leveraging theories of consciousness and technology use, this research aims to advance an alternative understanding of the "use" associated with the next generation of IS artefacts that do not require deliberate cognitive efforts, physical manipulation, or explicit instructions to yield outcomes.

Bio: Dr. Gohar F. Khan is an Associate Professor at CTI. He is a computational social scientist with expertise in digital business, data analytics, and network science. He specializes in both quantitative and qualitative research methods. His work has been published in several refereed journals, conference proceedings, and books.

Dr. Ouns Bouachir
Associate Professor, College of Technological Innovation
Zayed University, Dubai Campus, UAE

Project Title: Intelligent Transportation Management in Abu Dhabi for Beyond 5G Networks (iTrans5G)

Abstract: Abu Dhabi’s transportation system has seen significant advances over the years to accommodate citizens’ and residents’ needs. Given the advances in digital technologies such as 5G networks and IoT devices, the transportation infrastructure will be revolutionized to provide an efficient and optimized mechanism for road management. Smart cities, like Abu Dhabi, are now equipped with all the necessary resources in terms of ultra-fast wireless communication infrastructures, diversified IoT sensors, autonomous vehicles, simple and sophisticated Unmanned Ariel Vehicles (UAVs), smart and energy-efficient buildings, and much more. Such a sophisticated infrastructure provides the emirate of Abu Dhabi with a recipe to become one of the first true intelligent cities equipped with Artificial Intelligence (AI) solutions for traffic mobilization. The incorporation of AI techniques will lead to more fluidity of traffic, fewer accidents, time efficiency, and an improvement to citizens’ life being. To achieve such an outcome, drastic improvements are required to redesign the transportation management framework to accommodate for big data, advanced processing and communication technologies. This is achievable with advanced theoretical and practical AI solutions adapted in beyond 5G networks, connecting IoT devices under-ground/water, on the ground, in the air, and in space. As such, it is important to investigate Abu Dhabi's needs in terms of mobility and determine the challenges that hinder its successful transition into an intelligent city. We need to identify new state-of-the-art scenarios in transportation management and adapt them to use-cases for Abu Dhabi. Technologies such as intelligent IoT, UAVs, intelligent networking, and AI will with no doubt provide a mechanism to bring futuristic visions closer to reality. This proposal considers investigating different types of transportation management models for pedestrians, vehicles, and UAVs, then develop a new eco-system for intelligent transportation management in the city of Abu Dhabi. One important key player within this intelligent ecosystem is Connected and Autonomous Vehicles (CAV). CAV represents one of the latest advances in urban cities both on ground (e.g., cars, busses, etc.) and in the air (e.g., UAVs), as they have the potential to support massive numbers of applications and services. The connectivity of intelligent ground vehicles (equipped with communication devices such as On-Board Units (OBU), smartphones, sensors, IoT devices, and communication facilities) with UAVs in the air will provide exciting new opportunities for transport management. Such a solution will provide grounds for obtaining critical information in regards to traffic, which can then be shared with many on-ground IoT devices (e.g. traffic lights, street signs, smart direction signs, and smart vehicles) to provide enhanced, energy-efficient, and optimized transportation management solutions. This will in turn, play a major role in the significant reduction of vehicle energy consumption, commute time, and more importantly improve the mobility of vehicles and UAVs. Given that vehicle/UAV mobility management and efficiency in intelligent cities cannot be improved nor properly designed without realistic and accurate vehicle/UAV mobility models, in this research proposal, we endeavor to complete a comprehensive investigation and study of vehicle/UAV mobility in the city of Abu Dhabi. We particularly focus on the design and development of new vehicle/UAV mobility models using advanced stochastic and optimization approaches.  We will then apply and use the developed models to design efficient methodologies for managing the vehicle/UAV flow in Abu Dhabi using game theory concepts, machine learning, and distributed algorithms. Those models will then be extended for other types of mobility characteristics such as pedestrians and bikes.

Bio: Ouns Bouachir is an associate professor of computer engineering at the college of technological innovation, Zayed university, UAE. She received her Ph.D. in computer engineering from the University Paul Sabatier, Toulouse 3, France, and her engineering degree in Telecommunications from the Tunisian Higher School of Communications (Sup’Com), Tunis, Tunisia. She was a post-doctoral researcher and visiting assistant professor at Canadian University Dubai (CUD) from to 2015-2017.  She joined Zayed University in 2017.Her current research interests include Connected and Autonomous Systems including UAVs and autonomous vehicles, Metaverse, blockchain solutions, data management, and Sustainable Energy, with a particular emphasis on the applications of AI and ML.  She is the recipient of several grants in the UAE from various organizations (e.g., Zayed University, ASPIRE, and ADEK). She has published several papers in prestigious journals and flagship conferences, such as IEEE Transactions on Green Communications and Networking, IEEE Consumer Electronics Magazine, IEEE Networks, ACM Computing Surveys, IEEE GLOBECOM, IEEE ICC, IEEE PIMRC, and NOMS. Currently, she has more than 980 citations, h-index equals to 16 and i10-index equals to 25.