Discrete, Sampling-based Models of Conformational Switching in Protein Molecules

Post Image: Discrete, Sampling-based Models of Conformational Switching  in Protein Molecules

One of the research thrusts in the Shehu lab is understanding the modulation of biological activity in protein molecules via a process known as conformational switching. One of the ways we do so is by designing powerful, sample-based algorithms to extract a discrete representation of the conformational space of a protein and additionally model switching between conformations of interest.

Multiagent Research with Flockbots

Post Image: Multiagent Research with Flockbots

We present an open design for a small, $500 robot suitable for "swarm"-style multiagent research, mobile sensor communications exploration, robotics education, and other tasks.

Beyond Optimization: Mapping Multi-Basin Protein Energy Landscapes

Post Image: Beyond Optimization: Mapping Multi-Basin Protein Energy Landscapes

The Shehu lab is pushing the capability of evolutionary algorithms (EAs) to move beyond optimization and obtain comprehensive and detailed maps of complex, multi-modal energy landscapes.

Recognition of objects, object categories and urban scenes

Post Image: Recognition of objects, object categories and urban scenes

We are interested in learning part based representations of objects and object categories, which would enable efficient recognition and fast retrieval and ultimately lead to scalable object recognition systems.

Point-based Minkowski Sum Boundary

Post Image: Point-based Minkowski Sum Boundary

Minkowski sum is a fundamental operation in many geometric applications, including robotics, penetration depth estimation, solid modeling, and virtual prototyping.