Computing and Math: Poster Sessions

Here is What’s Possible: Enabling fully autonomous, agent-driven data science systems that can perform end-to-end analytics from data ingestion to insight generation reducing manual effort and accelerating decision-making.

Here is What’s Possible: My research opens up more reliable ways of analyzing the immune systems of novel species, enabling the development of targeted tools that accelerate disease research, vaccine development, and our understanding of immune biodiversity.

Here is What’s Possible: My research investigates quality-aware lossy compression strategies that preserve meaningful scientific insights and maintain the reliability of downstream analysis

This research makes it possible for ground vehicles to reach destinations more safely and efficiently in uncertain, disaster-affected road networks by using UAVs to inspect and eliminate impassable routes in real time.

Here is What’s Possible: Enhancing high-performance computing (HPC) workflows by developing data-driven methods for adaptive compression selection in large-scale simulations, optimizing I/O efficiency and storage-performance trade-offs.

Our research opens the possibility of transparently distinguishing AI-generated from human-created music by uncovering interpretable features that bridge the gap between technical detection models and human-understandable musical characteristics.