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 "Compositional Non-Face Re-Identification Pressure under Cumulative Vision Releases" has been accepted in The 19th European Conference on Computer Vision (ECCV 2026).
• Our paper titled "Asynchronous Concurrent Wireless Power Transfer in Sustainable 6G Networks: A Systematic Analysis" has been accepted in IEEE Journal on Selected Areas in Communications (JSAC), 2026.
• 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.