CAREER: Designing Domain Knowledge-Guided Learning Architectures towards Wireless Network — NSF Award to University of Oklahoma No
Modern wireless networks have become increasingly complex and densely populated and can create a massive volume of operation data. As a result, extensive efforts from both academia and industry have focused on leveraging artificial intelligence (AI) in wireless network security related tasks such as (i) adversarial inf
| Award title | CAREER: Designing Domain Knowledge-Guided Learning Architectures towards Wireless Network |
|---|---|
| Award ID | 2544044 |
| Awardee | University of Oklahoma Norman Campus |
| City | NORMAN |
| State | OK |
| Amount obligated | $291,099 |
| Principal investigator | Shangqing Zhao |
| Program | Secure &Trustworthy Cyberspace |
| Start date | 10/01/2026 |
| Abstract | Modern wireless networks have become increasingly complex and densely populated and can create a massive volume of operation data. As a result, extensive efforts from both academia and industry have focused on leveraging artificial intelligence (AI) in wireless network security related tasks such as (i) adversarial inference, (ii) adversarial generation, and (iii) data transformation. This project will focus on exploring new directions for incorporating additional domain knowledge to improve the |
| Source | NSF Awards |
$799/mo
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