AIM Research Lab @ Katz

AI, IoT and Multimedia (AIM) Research Lab @ Katz School of Science and Health

Pioneering intelligent, connected and immersive systems

Lab Mission

The AIM Research Lab drives innovation at the intersection of AI algorithms, IoT edge systems and multimedia processing to create intelligent, real-time applications for industry and academia.

Funding: NSF | NIH | DOT| Others

News

Our paper titled "MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control" has been accepted in ICLR 2026.
Our paper titled "iDT-diet: Toward Personalized Health Forecasting — An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories" has been presented in AAAI 2026.
Our paper titled "Improving Key Randomness in Physical-Layer Wireless Security via Semi-Synchronized RSSI and Cubic Spline Projection" has been accepted in IEEE International Conference on Communications (ICC 2026).
Our paper titled "Diff-MedSeg: Diffusion Model Based Medical Image Segmentation with Multi-Channel Attention" has been accepted in IEEE Transactions on Multimedia, 2026.