Main Objectives
o Advancing AI Research
o Enhancing Collaboration: Bringing together researchers from diverse backgrounds to facilitate interdisciplinary research and knowledge exchange
o Facilitating Access to Resources: Providing access to advanced computing resources, databases, and research infrastructure for participants
o Supporting Innovation: Encouraging the development of new AI algorithms, methodologies, and applications
o Publication and Dissemination: Promoting the publication and presentation of research results in leading conferences and journals
Talent Development and Networking
o Attracting Top Talent: Providing a platform for promising researchers to engage in pioneering research.
o Mentorship and Training: Providing mentorship and guidance opportunities for early-career researchers.
o Building a Strong Network: Creating an interactive community of researchers in the field of Artificial Intelligence and strengthening connections in the field and across different academic circles.
Knowledge Transfer and Impact
o Bridging Academia and Various AI Sectors: Facilitating collaboration between researchers and other AI sectors to translate research into tangible, real-world impact.
o Addressing Societal Challenges: Encouraging research that addresses pressing societal challenges using AI technologies.
o Shaping Policies and Practices: Contributing to the development of policies and practices related to Artificial Intelligence.
Enhancing the University's AI Center
o Visibility and Impact: Attracting highly qualified researchers and enhancing the standing of the AI Center in the research community.
o Increasing the Center's Products (Outputs): Diversifying research areas and contributing to the growth and expansion of the portfolio of work and research of the AI Center.
o Securing Funding Opportunities: Increasing the competitiveness of the AI Center in securing research grants and funding.