Artificial Intelligence and Data Analytics (AIDA) Lab

ARTIFICIAL INTELLIGENCE & DATA ANALYTICS LAB AIDA

AIDA Lab Overview

1. Lab Overview

  • Leader: Prof. Tanzila Saba
  • Mission: To deliver high-quality, industry-responsive research and provide an interactive platform for interdisciplinary research, focusing on AI and data science.
  • Vision: To be the premier AI and Data Analytics research lab in Saudi Arabia, fostering collaboration between academia, industry, and talent, aligned with Vision 2030.

2. Key Achievements

  • Research Outputs:
    • Patents: 1 granted, 1 in process.
    • Journal Publications: 41 Q1, 17 Q2, 5 Q3, and 5 conferences.
    • Books: 2 in progress, with additional book chapters and research projects.
    • Major Projects: Several SEED-funded research projects were completed, such as AI in healthcare, IoT for smart agriculture, and blockchain-based trading models.
  • Partnerships: Strong collaboration with national and international bodies, including Omdena and the IEEE Future Networks World Forum.

3. Research Themes

AI & Data Science, Machine Learning, Natural Language Processing, IoT, Biometric Security, and Cloud Computing, with a focus on real-world applications and big data analytics.

4. Events and Workshops

Organized a wide array of workshops, boot camps, and technical training sessions on topics like Python programming, medical image processing, and blockchain development. These events targeted professionals, students, and faculty members.

5. Women in STEM Initiatives

The lab made significant efforts in promoting women in STEM through events like the International Day of Women and Girls in Science and the Women in STEM Exhibition. These events encouraged female participation in tech fields and showcased female-led projects.

6. Community Outreach

AIDA Lab conducted several workshops for the broader community, including high school students, to foster early interest in AI, cybersecurity, and data analytics.

7. Collaborations

AIDA Lab initiated a partnership with Omdena, creating a local chapter for collaboration on AI projects, aiming to provide real-world AI and Data Science experience to students and researchers.

8. Public Engagement

The lab was involved in various high-profile conferences, such as the IEEE International Conference on Smart Mobility and the LEAP 2023 Exhibition, where lab members showcased their ongoing research and projects.