Overview:
The Artificial Intelligence and Complexity (AIC) research group is dedicated to advancing computational intelligence through a multidisciplinary approach. Our work aligns with the Kingdom's RDI priorities—Health and Wellness, Sustainable Environment, Supply of Essential Needs, and Economies of the Future—while addressing global challenges such as climate change, public health crises, and economic transformation.
Topics:
- Artificial Intelligence and Machine Learning: Develop AI/ML solutions that drive innovations in global health, environmental sustainability, food security, and the future economy.
- High-Performance Computing: Leverage HPC to solve global challenges in health, climate, and economic modeling, ensuring efficient data processing and analysis.
- Natural Language Processing (NLP): Advance NLP for improved global healthcare communication, environmental discourse, and economic intelligence.
- Computer Vision: Enhance computer vision for medical diagnostics, environmental monitoring, and smart economic systems, addressing both national and global needs.
- Quantum Computing: Explore quantum computing to revolutionize solutions for global health, sustainability, and economic challenges.
- Big Data Analytics: Utilize big data to address global and national challenges in healthcare, environmental conservation, and economic foresight.
- Computational Neuroscience: Investigate cognitive models to support innovations in global health and the economies of the future.
- Social Computing and Information Retrieval: Improve systems for public health communication, resource distribution, and economic decision-making, tackling both global and national priorities.
Objectives:
- Develop AI and ML algorithms that address global and national challenges in health, environment, essential needs, and the future economy.
- Explore quantum computing to solve complex global problems in health, environmental sustainability, and economic transformation.
- Advance NLP and computer vision for applications in global healthcare, environmental monitoring, and smart economies.
- Leverage HPC for big data analytics to tackle challenges in health, the environment, and economic planning on a global scale.
- Investigate computational neuroscience and AI for cognitive innovations that drive health and economic advancements globally and nationally.
- Enhance social computing and information retrieval to improve public health communication, resource management, and economic systems in line with global and national priorities.
