Sponsors

Research Projects

Extended Reality/Holographic-Type/3D Point Cloud sensing, communication, and networking

Enable low-bandwidth, high-quality communication for Extended Reality (XR), holographic, and 3D point cloud applications. By designing efficient point cloud and XR video coding methods and leveraging machine learning and generative AI, the work optimizes data compression and reconstruction for immersive media. It also incorporates task-oriented communication to prioritize and transmit only essential information, supporting real-time, intelligent sensing and networking for next-generation immersive systems.
 Sponsor: USDA/NIFA

Topological semantic communication

Topological semantic communication represents meaning through data’s topological structure, enabling efficient encoding and decoding based on global geometric features rather than raw symbols.
 Sponsor: National Science Foundation

Multi-modal machine learning and mulsemedia communication

Multi-modal machine learning and mulsemedia communication integrate data from diverse sensors for applications like target detection and agriculture. This includes sensor data collection, transmission, and fusion, enabling robust decision-making through machine learning and deep learning techniques.
 Sponsor: AFRL, UNL Layman Seed Award, Nebraska DOT

Near Field Communication and Internet of Things

Near Field Communication (NFC) and Internet of Things (IoT) research focuses on large-scale deployment of NFC tags to digitize everyday objects, enabling reliable communication, efficient networking, and secure data exchange in IoT environments.
 Sponsor: National Science Foundation

Underwater communication and multi-modal data fusion

Underwater communication and multi-modal data fusion leverage magnetic, visible light, and acoustic communication to connect sensors and robots underwater. By fusing data from multiple modalities, the system enhances reliability and accuracy in detecting underwater targets.
 Sponsor: Jeffress Memorial Trust

Underground communication and networking

Underground communication and networking utilize magnetic communication to connect underground sensors for smart agriculture and infrastructure monitoring. This approach enables reliable data transmission in challenging subsurface environments.
 Sponsor: National Science Foundation