Skip to main content
King Abdullah University of Science and Technology
Computer, Electrical and Mathematical Sciences and Engineering
Computer, Electrical and Mathematical Sciences and Engineering
  • Home
  • Study
    • Prospective Students
    • Current Students
    • Internship Opportunities
  • Research
    • Research Overview
    • Research Areas
    • Research Groups
  • Programs
    • Applied Mathematics and Computational Science
    • Computer Science
    • Electrical and Computer Engineering
    • Statistics
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Administrative Staff
  • News
  • Events
  • About
    • Who We Are
    • Leadership Team
  • Apply

Breadcrumb

  1. Home
  2. Pages
  3. Resources

Resources Pages

IEEE Antennas and Propagation Society (AP-S) Student Branch Chapter at King Abdullah University of Science and Technology (KAUST)

Resources

Welcome to the IEEE Antennas and Propagation Society (AP-S) Student Branch Chapter at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. About Our Chapter Officially inaugurated as a new hub for innovation and scientific exchange, our chapter is dedicated to fostering research, collaboration, and student engagement in the fields of antennas and propagation. We aim to bridge the gap between theoretical research and practical application, providing a platform for students, researchers, and industry professionals to connect and grow. Our recent inauguration

KAUST NeuroAI

ResearchResources

KAUST NeuroAI is an interdisciplinary research community advancing the integration of neuroscience, artificial intelligence, statistical modeling and signal processing. The team investigates how neural activity encodes emotion, cognition, intention and social interaction in real-world environments. By combining simultaneous EEG–fNIRS recordings with advanced AI-driven modeling, KAUST NeuroAI develops scalable methods to decode, interpret, and utilize brain signals in naturalistic settings. This work spans foundational neural modeling, real-time brain–computer systems, multimodal representation

Research Resources

ResearchResources

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

Connect with us

Footer

  • A-Z Directory
    • All Content
    • Announcements
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice