​My current research focus spans the following three areas:​​​​
​
AI for 6G

• Foundation Models and Agentic AI
• ​Efficient/Tiny AI​
• Low-latency Networking 
• ​Safe & Generalizable RL 

Wireless Sensing & Industrial IoT

• Ultra Low-Power Communications & Sensing
• ​cmWave Integrated Sensing and Communications
• WiFi Sensing for Human Vital Signs
• ​​Prototyping on SDRs, Microcontrollers, and Edge Devices​​

Applications: BCIs & Immersive Communications

• Generalizable Foundation Models for Pediatric BCI 
• ​Transfer Learning for Pediatric BCI​
• Efficient Dynamic Neural Radiance Fields (NeRF)
• ​​Compression for Stereoscopic 8K Virtual Reality Streaming

Projects

1. Foundation Models and Agentic AI for 6G (with Ericsson, hiring)
2. ​cmWave Integrated Sensing and Communications (hiring)
3. Tiny and Sustainable AI for 6G (with Ericsson, hiring)
4. Trustworthy AI for Sensing in 6G Applications 
5. Autonomous Low-Power SDR Sensing and Communications
6. AI-Powered Beam Management for 6G Wireless Communications 
7. Extended Reality (XR) Applications and QoE over 5G Networks 
8. Brain Sensing and Communications: Transfer Learning for Pediatric BCI, Tiny BCI.
   A collaboration with the BCI4Kids Team at the Cumming School of Medicine to build performant and efficient pediatric BCI.
9. AI-Powered Traffic Flow Characterization, Monitoring, and Prediction 
10. Robust Intelligence for Beyond-5G Networks and Applications
    Tiny and efficient AI/machine learning for wireless communications. Safe reinforcement learning, transfer learning in RL for wireless communications. Research at the intersection of wireless networks and communication of extended reality and digital twins across networks.
11. AI-Augmented Intelligent RFICs for Transmitter Predistortion for 5G and 6G Wireless and Space Communication Applications