Keynote Speakers
Dr. Raed Jaradat
Associate Professor, Khalifa University, UAE | Affiliated Scientist with the U.S. Army Corps of Engineers Management Science And Engineering
AI-Driven Solutions for Modern System of Systems
Systems of systems (SoS) are conceived, built, and deployed to solve problems or fulfill needs. System of systems are comprehensive representations of physical systems and assets, encompassing a wide range of interconnected components, subsystems, and multiple data sources, such as sensors and processes. Integration and interoperability are challenging within SoS, where different constituents and systems, both legacy and new, integrate to accomplish an emergent mission or produce new results. Systems of systems operate under conditions of uncertainty (incomplete knowledge), ambiguity (lack of clarity in understanding), emergence (unpredictable events), complexity (intricately interconnected), and evolutionary development (dynamically changing over time). These conditions raise challenges and concerns for using traditional engineering practices to enhance the sustainability and resiliency of aggregate SoS holistically. Emerging methods and technologies such as Artificial Intelligence (AI) have become necessary. Artificial intelligence (AI) has proven to be efficient in enabling more competent and more efficient decision-making processes across different domains, including manufacturing, healthcare, and defense acquisitions. Machine learning and artificial intelligence contribute significantly to integrating SoS, where different machine learning algorithms enable adaptive learning mechanisms for practitioners and stakeholders using different NLP.
Keywords: Artificial Intelligence; System of Systems; Machine Learning
Dr. Mohamed Okasha
Associate Professor, United Arab Emirates University, Al Ain, UAE
Advancing Space Technologies: Al Ain CubeSat and Multi-Satellite Assembly Innovations at UAEU
Dr. Ayman El-Baz
Chairperson, Professor & Distinguished Scholar, University of Louisville, USA
The Role of AI in Medicine and Healthcare and Its Impact on Advancing a Knowledge-Based Economy
Economy Artificial intelligence (AI) is reshaping the landscape of medicine and healthcare, driving progress that supports the growth of a knowledge-based economy. Through AI-powered tools, healthcare systems achieve greater diagnostic accuracy, personalized treatment approaches, and optimized operational workflows, leading to enhanced patient outcomes and cost-efficiency. Machine learning algorithms and advanced data analytics enable clinicians to make data-driven decisions and predict patient outcomes with high precision. AI also accelerates drug development, refines medical imaging, and enhances patient monitoring, fostering innovation and reducing the timeline for medical advancements. This integration of AI not only enhances clinical practice but also catalyzes economic development by opening new sectors, enhancing workforce skills, and promoting interdisciplinary collaboration. Consequently, the adoption of AI in healthcare serves as a pivotal factor in advancing a sustainable, knowledge-driven economy and positioning societies for future technological and healthcare leadership.
Dr. Hoda Al Khzaimi
Associate Vice Provost of Research Translation, Innovation and Entrepreneurship, NYUAD, UAE