
AI Innovations for a Better Tomorrow
Zayed University Convention Center, Dubai, UAE


September 24th and 25th, 2025

Omar Alfarisi
Senior AI Technology Advisor & Distinguished Professor, Dragon Oil - UAE

Worood Dabbas
Senior Azure Data and AI Technical Specialist @ Microsoft, Data & AI Lead @Women in AI, Ex-IBM

Dr. Hussam AlHammadi
Vice-Chair of IEEE UAE Section
Dr. Hussam Al Hammadi is a distinguished technology leader and researcher, currently serving as the Vice Chair of the IEEE UAE Section. With a PhD in Computer Science and a career spanning academia, industry, and government sectors, he has consistently driven innovation in areas such as digital transformation, AI adoption, and national ICT strategies.
Dr. Al Hammadi has held key leadership roles and has been instrumental in shaping the UAE’s digital landscape through his contributions to strategic IT initiatives, smart services, and advanced technology adoption. His work bridges technical expertise with policy insight, making him a respected voice in the region’s tech ecosystem.
He is also deeply committed to knowledge-sharing, mentoring, and building future tech talent, frequently engaging in conferences, panels, and community initiatives that foster regional innovation and collaboration.

Mr. Rashid Aljuneibi
Head of CX Technology - e& enterprise
Rashid is the Technology unit head of EngageX the Cloud Communication and Customer engagement solution unit of e& enterprise regionally with a focus on UAE and KSA.
Rashid is an accomplished executive professional with over 15 years of experience in different dynamic domains of Information and Communication Technology (ICT) and Customer Experience. He has worked in several organizational functions including CX Digital Transformation, Artificial Intelligence, Cloud Communication Operations, Mobile Network Optimization, and Network Performance. Rashid has a multi-skilled background in technical and non-technical skills in digital areas such as Cloud Communications, Conversational and Generative AI.
Throughout his career, Rashid has achieved several milestones including the Middle East Technology Excellence Award 2022 in ICT Technology, Best Business Line Award in e& enterprise 2021, and the Best Network Operation Center Award in e& for 2018. Rashid has been shortlisted for several innovative projects such as the Optimized building A/C project for the U.K. Telecom award 2017.
As a head of EngageX Technology at e& enterprise, Rashid is responsible for defining and leading the implementation of long-term strategic EngageX CPaaS technology roadmap. He is also responsible for the common foundational technology strategy for the EngageX as well as planning, development, and operations function of EngageX technology. Rashid’s key goals include expanding globally and ensuring availability in different regions, improving software delivery efficiency, product resiliency, and optimizing compute and network costs as well as growing and managing a global engineering team.
Prior to this role, Rashid was leading Messaging & Retail IoT Operations at Etisalat by e&, where he was responsible for leading a team of Digital Channels and IoT network operation personnel that provide end-end support for a managed network state of art services offering. He was responsible for managing & leading a team that owns all aspects of the restoration and support processes required for the customers that Interface provides a broad set of managed Digital Channels and IoT network services.
Rashid holds an Executive Masters of Business Administration (EMBA) from the University of Sharjah. And a Bachelor of Engineering (Hons.) in Computer Engineering from Khalifa University. And currently he is preparing his PhD in MIS.

Hany Moustapha
Professor & Director, Innovation SDG Network and Aerospace 4.0TM

Ibtesam Alawadhi
Head of Post Graduate College, Dubai Police Academy - UAE

Mohamed Ezzet
Head of Machine Learning MENAT | Dubai, UAE
Mr. Mohamed Ezzat is an accomplished technology leader and the Head of Machine Learning at Amazon Web Services (AWS), where he drives the adoption and innovation of AI/ML solutions across industries. With a strong foundation in data science, cloud computing, and scalable ML systems, he helps organizations unlock the full potential of their data by designing and implementing cutting-edge machine learning strategies.
At AWS, Mr. Ezzat works with customers across the region to solve complex business challenges using state-of-the-art AI technologies. His expertise spans the full ML lifecycle—from model development and deployment to operationalization at scale—enabling enterprises to accelerate their digital transformation journeys.
Mr. Ezzat is known for his deep technical knowledge, practical approach to problem-solving, and ability to translate advanced machine learning concepts into real-world business value. He is a regular speaker at industry events, a mentor to emerging talent, and a strong advocate for responsible and ethical AI practices.
Sponsors
Acknowledgements











