Collaborative Research: CISE Core Small: CSR: Multimodal Sensing-Based Security Mechanisms — NSF Award to Sam Houston State Univer
Multimodal sensing refers to the integration of multiple sensor types to collect various environmental data. By leveraging the strengths of different modalities, it enables more accurate and comprehensive understanding of complex scenarios. As a result, multimodal sensing is integral to mission-critical Internet-of-Thi
| Award title | Collaborative Research: CISE Core Small: CSR: Multimodal Sensing-Based Security Mechanisms |
|---|---|
| Award ID | 2523516 |
| Awardee | Sam Houston State University |
| City | HUNTSVILLE |
| State | TX |
| Amount obligated | $200,000 |
| Principal investigator | Qingzhong Liu |
| Program | CSR-Computer Systems Research |
| Start date | 10/01/2025 |
| Abstract | Multimodal sensing refers to the integration of multiple sensor types to collect various environmental data. By leveraging the strengths of different modalities, it enables more accurate and comprehensive understanding of complex scenarios. As a result, multimodal sensing is integral to mission-critical Internet-of-Things (IoT) systems such as smart cities, intelligent transportation, and defense applications. Robust cybersecurity is essential to their reliable operation, ensuring core objective |
| Source | NSF Awards |
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