What is AIMS?

Artificial Intelligence and Multimodal Systems at the University of Southern Mississippi.

The lab

The Artificial Intelligence and Multimodal Systems (AIMS) Lab develops intelligent systems that can perceive, understand, reason, interact, and operate reliably.

Our research brings together computer vision, multimodal AI, language models, trustworthy AI, and human-centered intelligent systems to investigate how AI can learn from diverse forms of information and use that information effectively.

Modern AI systems increasingly process information from multiple sources, including images, video, text, speech, and sensor data. AIMS researchers investigate how these systems can better understand visual and multimodal information, reason with retrieved and remembered knowledge, interact effectively with users, and remain reliable under uncertainty and challenging real-world conditions.

The research loop

AIMS Artificial Intelligence & Multimodal Systems Intelligent systems that perceive, understand, reason, interact, and act reliably. PERCEIVE Artificial Intelligence& Computer Vision Enable machines to senseand understand visualinformation from the world. REASON Language Models& Agentic AI Build systems that reason,plan, and act using language,memory, and knowledge. UNDERSTAND Multimodal &Generative AI Learn and generate acrossmodalities to understand,create, and reason jointly. ACT Edge AI &Intelligent Systems Bring AI into the real worldthrough efficient, reliable,adaptive systems. TRUST Trustworthy &Robust AI Recognize uncertainty,withstand adversarialconditions, stay calibrated. INTERACT Human-Centered &Affective AI Understand people, adapt totheir needs, and interact innatural, aware ways.
The six areas of the lab and the loop they form: perceive, reason, act, interact, trust, and understand.

For students

As a student in the AIMS Lab, you will have opportunities to contribute to projects across these research areas.

That work runs from developing and evaluating new AI methods to applying them to real-world problems. Students contribute to ongoing research projects and scholarly publications.